Engineering Journal Jobs in Richmond, CA

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The F-22 Raptor Team is seeking a Senior Design and Analysis Engineer in Berkeley, MO or Richardson, TX to join the F-22 Raptor Mission Design and Analysis Team with a focus on developing cutting edge engineering solutions to continue to advance the world's premier air superiority fighter.

As a Senior Design and Analysis Engineer, you will be responsible for developing engineering solutions for the F-22 Raptor, including both enhancing existing field units with the addition of new capabilities, as well as architecting and testing completely new systems. In this role, you will be joining a cross-functional team to progress our products through the development lifecycle. Tasks include developing requirements to support customer needs, designing a networked architecture to enable new capabilities, and analyzing test data.

Position Responsibilities:

• Collaborates with Responsible Engineers, customer technical staff, suppliers, and Lockheed Martin teammates to develop and document complex electronic and electrical system requirements for F-22 avionics sub-systems and weapon system architecture
• Analyzes and translates requirements into system architecture, hardware and software designs and interface specifications in support of lab and operational environments
• Analyzes test data, including off-nominal data, for accuracy, quality and/or fidelity prior to delivery to customer

Basic Qualifications (Required Skills and Experience):

• Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
• 9+ years of related work experience and a bachelor's degree or an equivalent combination of related work experience and technical education
• Ability to obtain F-22 Special Access Program (SAP) clearance
• Capable of traveling 10% of the time

Preferred Qualifications (Desired Skills and Experience):

• Must be able to work in a fast-paced, collaborative environment, engaging with multiple teams and being responsive to agile requirements and critical path customer need dates
• Experience in avionics, electrical, and/or a mission systems role
• Experience with agile development methodologies

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

• Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting
• Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range:

Berkeley, MO: $136,850-$185,150

Richardson, TX: $146,200-$197,800

Applications for this position will be accepted until Mar. 27, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Open date: February 23, 2026

Most recent review date: Tuesday, Mar 10, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Mar 25, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Helen Wills Neuroscience Institute at the University of California, Berkeley seeks applications for a Postdoc in the Bouchard Lab, in the area of theoretical neuroscience. The Bouchard lab at UC Berkeley is an interdisciplinary team that focuses on understanding how distributed neural circuits give rise to coordinated behaviors and perceptions. There will be collaboration with the lab members at LBNL. We are looking for a post-doctoral researcher to work at the interface of control theory, information theory, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high-dimensional neural population dynamics from diverse brain areas.

The position is located at UC Berkeley (UCB), in collaboration with Lawrence Berkeley National Laboratory (LBNL), and is part of a broader collaborative effort between UCSF, LBNL, UCB, and UC Davis. This Bay Area collaboration combines UCSF/UCD's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, LBNL's supercomputing and applied mathematics together with electronics and micro-fabrication. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration.

Responsibilities:

* designing and executing theory, models, methods

* application of developed theory, models, methods to neural population dynamic data

* manuscript preparation

* presenting research at lab meetings and scientific conferences

* contributing to grant proposals

* mentoring students

Lab:

PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program.

• 
  
• PhD (or equivalent international degree) required by the appointment start date.
  
• No more than three years of post-degree research experience by start date.
  

• 
  
• Expertise in theoretical neuroscience
  
• Excellent writing and communication skills
  
• Strong publication record in peer reviewed journals
  
• PhD in neuroscience, computer science, physics, electrical engineering, mechanical engineering, etc.,
  
• Demonstrated expertise in developing and applying methods for the analysis of neural population data.
  
• Experience in control theory, information theory, and/or machine learning desirable, required.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Statement of Research

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: October 4, 2025

Next review date: Wednesday, Mar 18, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Wednesday, Mar 18, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

The He lab is in the Molecular and Cell Biology department at UC-Berkeley, which encompasses a breadth of disciplines spanning all levels of organization and encompassing diverse organisms. The breath of training, combined with the unique location of Berkeley in the center of biomedical research, offer a nurturing environment for the next-generation scientist to launch on a successful career in biomedical research in academia and industry. The Principal Investigator, Dr. Lin He, was awarded the MacArthur Fellowship (the genius award), the Searle Scholar, a HHMI Faculty Scholar, and is currently a Thomas and Stacey Siebel distinguished chair professor at UC-Berkeley, and a biohub investigator with the Chan-Zuckerberg Initiative (CZI).

The developmental and physiological complexity of a given organism is not governed by the sheer number of protein-coding genes. In mammals, the numerous functional non-coding elements greatly expand gene regulatory modality and diversify functional reservoir. Using human genetics/genomics, mouse genetics/genomics, cell and molecular biology approaches, the He lab at UC-Berkeley has identified a variety of functional non-coding elements, including transposons and non-coding RNAs. Not only do non-coding elements offer important developmental/physiological functions, they also provide us with a unique angle to discover new biological/cellular processes in development and disease. Combining sophisticated genome engineering and innovative live cell imaging, we have pioneered in vivo studies to elucidate the new cellular functions and molecular mechanisms in development and aging. The discoveries of the He lab have been well recognized by publications in prestigious journals, including Nature, Science and Cell. Currently, there are postdoc openings in two projects.

Transposons in mammalian preimplantation development ~40% of mammalian genome originates from transposons, whose abundance greatly exceeds that of protein genes. While historically viewed as degenerated "parasitic" DNAs, transposons yield numerous functional elements for the host genome. These sequences resulted from ancient invasion confer new mechanisms of gene regulation, generate Neogene/ncRNA functions, and provide raw material for genome innovation. Mammalian preimplantation embryos constitute one of the best systems to study transposon-host interactions, as ~20% of their transcriptome results from transposon induction. We aim to characterize the role of specific transposons in preimplantation embryos.

Transposons in aging and disease While specific transposons are integral components of host biology, most mammalian transposons are potentially detrimental to the host genomes, thus inactivated via degenerative mutations and/or transcriptional/post-transcriptional silencing. Interestingly, aberrant transposon induction has been observed in a variety of pathological conditions, including aging, cancer and infection. We aim to investigate the mechanisms underlying transposon dysregulation during reproductive aging and cancer, and to elucidate the effects of transposon-host interactions that accelerate aging and promote cancer.

Postdoc responsibilities:

1) The postdoc will work with the PI to develop a project in one of the two research directions, to comprehensively read literature, to establish appropriate experimental systems, to learn important technologies, and to execute experiments to advance the project and perform data analyses.

2) The postdoc will meet with the PI on a weekly basis to discuss results, to development experimental plans.

2) The postdoc will work with junior lab members to mentor them on specific experimental techniques .

3) The postdoc will contribute to lab duties, which is evenly distributed among all lab members.

Lab:

PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree)

Ph.D. (or equivalent international degree) required by the appointment start date. No more than three years of post-degree research experience by the start date.

Ph.D. in developmental biology, Genetics, Genomics, Cell Biology, Molecular Biology, Biochemistry or related field are all welcome to apply. Prior research experiences in mammalian development and disease are preferred.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
  
  (Optional)

  
  

• 3-5 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: February 24, 2026

Most recent review date: Tuesday, Mar 10, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientist at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of molecular and cellular microscopy research.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The purpose of this project is to develop a foundation AI model capable of extracting biological insights from 4D (x,y,z,time) datasets of subcellular dynamics within physiological contexts and across scales. Incumbent will advance imaging to generate petabytes of targeted and high quality datasets necessary to prototype and build this model. The Assistant/Associate/Full Project Scientists will help develop and execute the research program focused around ABC's overarching goal of moving cell biology away from the coverslip and into physiological systems. These positions will work within a dedicated team to develop and refine the microscopy techniques. This position will manage projects and provide regular progress reports to PIs and collaborators.

The incumbent will spend 90% of their time on ABC research goals and managing and maintaining equipment in the lab and 10% of their time training/supervising collaborators, graduate students and postdoctoral fellows on MOSAIC/iAOLLSM capabilities.

Key responsibilities:

*Make significant and creative contributions to designing, building, and testing of a new high throughput adaptive optical inverted lattice light-sheet microscope (iAO-LLSM). This instrument aims to achieve a 10-fold increase in data acquisition throughput while maintaining the high-quality optical performance demonstrated in our previous work.

*Use, maintain, and oversee the operations of the two next-generation multimodal optical scopes with adaptive imaging correction (MOSAIC) microscopes at the ABC.

*Actively participate in handling/mounting biological samples on advanced microscopes and collect 4/5D datasets.

*Collaborate with a cross-disciplinary team of AI scientists, data engineers, instrumentation scientists and biologists and generate high resolution microscopy data using novel transparent developing organism reagents necessary to reach the goal of prototyping and training a 4D foundation model.

*Actively participate in national and international collaborations, presentation of research findings at scientific conferences, and publication of results in leading peer-reviewed journals.

*The incumbent will actively participate in and occasionally lead efforts to develop new projects.

These positions are eligible for full benefits.

Lab:

Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Physics, Chemical or Biological Engineering, Molecular and Cell Biology, Systems Biology, Biochemistry, or Related Field.

*Experience or expertise in light microscopy, spectroscopy, or laser optics.

*Experience or experience with adaptive optics and lattice light sheet microscopy.

*Experience or experience designing and building custom microscopes.

*Ability to troubleshoot microscopy instruments, prepare samples, design research methodology.

*Proficient with CAD programs for instrument design (e.g. Autodesk Inventor or Solidworks).

*Ability to explain concepts to a variety of audiences; and oversee a laboratory space or unit.

*A strong preference for a record of imaging, characterization and analysis of live cells and biological tissues.

*Experience with data and image processing, evaluating image quality, visualizing and analyzing image data.

*Experience making figures and movies with microscopy data for publishing articles.

*Experience collaborating with labs in a wide variety of areas.

*Experience executing large imaging projects (tens of terabytes to multi petabyte-scale)

*Experience leading technicians

*Ability to review research proposals and ideas, evaluate research capabilities, and make recommendations.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Cybersecurity (MICS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of about 15 graduate students in this cutting-edge, online program.

Courses in the MICS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while bringing valuable expertise to advance student outcomes. Screening of applicants is ongoing and will continue as the program evolves. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of cybersecurity.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of cybersecurity leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MICS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous online sessions focusing on active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals and initiatives.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/cyber

A bachelor's degree (or equivalent international degree).

Minimum of 4 years professional experience in the relevant field.

Minimum of 2 years experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

10 + years of professional experience in Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions online):

• 
  
• Applied Machine Learning for Cybersecurity
  
• Artificial Intelligence (AI) and Machine Learning (ML) in Cybersecurity
  
• Capstone
  
• Cloud Security
  
• Cryptography
  
• Cybersecurity and Public Policy
  
• Cybersecurity Clinic
  
• Cybersecurity Consulting
  
• Cybersecurity Equality
  
• Cybersecurity in Context: Artificial Intelligence, Policy, Law and Ethics
  
• Introduction to Cybersecurity
  
• Managing Cyber Risk
  
• Network Security
  
• Operating System Security
  
• Public Interest Cybersecurity Clinic
  
• Security Operations
  
• Software Security
  
• Usable Privacy and Security Research
  
• Web Application Security Assessment
  
• Special Topics: AI-Driven Threat Detection, Blockchain Security, Critical Infrastructure Security, Cyber Threat Intelligence, Cyber Resilience, Incident Response, IoT Security, Post-Quantum Cryptography, Privacy-Preserving Machine Learning, Social Engineering, Zero Trust Security
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise, and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach on-campus courses in the Master of Information Management and Systems. We seek exceptional instructors with professional and/or academic expertise who can teach courses for I School doctoral and master's level students and other UC Berkeley graduate students in related fields, as well as undergraduate courses. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.

Applicants will be selected from this pool for the academic year (including summer sessions), when there is curricular need. Positions typically start at the beginning of the semester, and appointments may be renewable based on need, funding, and performance. This is a primarily in-person role that typically requires physical presence on the UC Berkeley campus, although alternative modalities may be authorized for instruction when conditions require.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in cybersecurity.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of information leaders, we encourage you to join our exceptional instructional team.

Designing and Delivering Engaging Classes: Plan and lead dynamic in-person sessions emphasizing active learning. Facilitate meaningful discussions, group activities, and hands-on exercises that deepen students' understanding and application of key concepts.

Creating a Cohesive Course Experience: Develop a comprehensive syllabus outlining learning objectives, assessments, assignments, and expectations. Ensure all course elements, including lectures, materials, and activities, align with program goals and foster a cohesive student learning experience.

Facilitating Student-Centered Learning: Provide personalized support through office hours, one-on-one meetings, and guidance throughout the semester to address individual student needs and ensure academic success.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, thoughtful, and actionable feedback on student assignments, projects, and assessments to promote continuous improvement and mastery of course competencies.

Managing Course Operations: Organize and communicate key course components, such as schedules, assignments, grading policies, and classroom logistics, to ensure a smooth learning experience for all students.

Collaborating with Instructional Teams: Participate actively in team meetings to share teaching strategies, address challenges, and ensure alignment on instructional practices. Attend faculty meetings to stay connected with program initiatives and goals.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please Note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to determine whether applications are currently being reviewed. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program: programs/mims

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/info

A bachelor's degree (or equivalent international degree).

Minimum of 4 years professional experience in the relevant field.

Minimum of 2 years experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

10 + years of professional experience in Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

Multiple years of demonstrated excellence in teaching college-level courses.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Professional and teaching experience in at least one of the following core areas (please see course descriptions online):

• 
  
• Algorithmic Fairness and Bias Mitigation
  
• Blockchain and Decentralized Systems
  
• Cloud Computing and Scalability
  
• Cybersecurity and Information Assurance
  
• Data Analysis and Visualization
  
• Data Engineering and Analysis
  
• Digital Ethics and Societal Impact
  
• Digital Transformation in Organizations
  
• Ethical Technology and Responsible AI
  
• Generative AI and Its Applications
  
• Human-AI Collaboration
  
• Human-Computer Interaction (HCI)
  
• Information Policy
  
• Machine Learning
  
• Natural Language Processing (NLP)
  
• Privacy-Preserving Technologies
  
• Product Management
  
• Smart Cities and Urban Informatics
  
• Social and Technical Innovation in Entrepreneurship
  
• User-Centered Design
  
• Other Areas of Information Science and Systems
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This may include, for example, fostering student success, connecting theory to practice, contributions to advancing an inclusive learning environment for all students, facilitating student-centered learning, or practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise, and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking a Senior Real Time Software Engineer to join the F/A-18 Mission Systems organization located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization.

Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist in integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come.

Our engineers are involved in all aspects of the software development lifecycle, and our agile development approach allows new hires to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, look at our video: .

The selected candidate will have the opportunity to join the F/A-18 Mission Systems software team and support various capabilities within the Vehicle Health Management team.

Our teams are currently hiring for a broad range of experience levels including: Experienced and Senior Level Software Engineers.

Position Responsibilities:

• Leads the design, development, tests, and maintenance of embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards
• Reviews, analyzes, and translates customer requirements into initial design of software products. Develops, maintains, enhances and optimizes software products and functionalities for systems integrations
• Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software products
• Debugs and leads resolution of issues identified to ensure the reliability and efficiency of software products. Handles user inquiries, troubleshoots technical issues and user feedback analysis
• Leads handling of user inquiries, troubleshooting technical issues and user feedback analysis.
• Implements current and emerging technologies, tools, frameworks and changes in regulations relevant to software development
• Develops, establishes, monitors and improves software processes, tools and key performance metrics that align projects with organizational goals and industry benchmarks
• Plans, executes and documents, software research and development projects
• Advises on software domains, system-specific issues, processes and regulations
• Performs software project management activities and software supplier management functions
• Tracks and evaluates software team and supplier performance to ensure product and process compliance to project plans and industry standards

Security Clearance and Export Control Requirements:

This position requires the ability to obtain a Secret US Security Clearance for which the US Government requires US Citizenship. Ability to obtain Secret US Security clearance (Post-Start).

Required Qualifications (Required Skills/ Experience):

• 4+ years' experience with hands on experience writing C++ software for integration with real-time embedded systems
• 4+ years' experience with Vehicle Health Management experience
• 4+ years' experience of training, mentoring, advising junior software engineers across entire lifecycle of software development
• 4+ years' experience working on a project where various software development methodologies are being utilized
• Demonstrated expertise leading complex projects across multiple teams of engineers.

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
• Familiarity with implementation and requirements of Vehicle Health Management areas such as Built in Test, Power Control, Maintenance Codes, Erase, Loading
• Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools
• Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Total Rewards & Pay Transparency:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Senior: $160,650.00 - $217,350.00.

Applications for this position will be accepted until Mar. 20, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

About the Company

Pegasus Solar is the fastest-growing provider of proprietary solar mounting hardware and project design software in the U.S. In 2025, we’ll manufacture and ship more than 13 million parts — with a Pegasus system installed once per minute. We’re a tight-knit, high-impact team driven to accelerate the widespread adoption of solar by making it simpler, faster, and better. Founded in 2012, Pegasus partners with installers to design and engineer products that improve installation efficiency and long-term reliability. With 130+ patents issued/pending and installations on over 350,000 buildings, Pegasus continues to set the standard for innovation and reliability in solar. Our mission is to give installers a better day on the job — and system owners a better product for life. If you’re passionate about clean energy, innovation, and hands-on manufacturing impact, this is where you’ll make a difference.

About the Role

We are seeking a Manufacturing Engineer to join our Manufacturing Operations team, based in Richmond, California. This role is ideal for a developing, hands-on manufacturing engineer who enjoys working directly in production environments and supplier facilities. Unlike a purely internal manufacturing role, this engineer will serve as the “eyes and ears” of the Manufacturing Operations team, spending significant time in the field supporting suppliers, qualifying tooling and production lines, auditing manufacturing processes, and ensuring quality and operational readiness across our supply base. The ideal candidate will bring experience in one or more core manufacturing processes such as metal stamping, machining, sheet metal fabrication, casting, extrusion, or cold heading, with strong preference for metal stamping in high-volume production environments. This role requires adaptability, strong documentation and communication skills, and the ability to operate effectively in smaller, fast-moving manufacturing environments with limited structure or support. This position is hybrid and best suited for candidates local to the Bay Area, with frequent travel (approximately 30–40%) to supplier and manufacturing sites.

Responsibilities

• Supplier Industrialization & Manufacturing Support
• Support qualification and ramp of supplier production lines, tooling, and manufacturing processes
• Conduct supplier audits, process validations, and manufacturing inspections
• Partner with suppliers to resolve technical and quality issues and improve production stability
• Support PPAP, line validation, and tooling readiness across the supply base
• Serve as a key field liaison between Pegasus engineering, manufacturing, and supplier partners
• Manufacturing Process & Production Support
• Apply hands-on manufacturing knowledge across processes such as stamping, machining, casting, extrusion, or cold heading
• Assist with process development, documentation, and continuous improvement initiatives
• Identify and troubleshoot production and quality issues at supplier and manufacturing sites
• Support creation of SOPs, work instructions, and manufacturing documentation
• Ensure adherence to quality standards and manufacturing best practices
• Cross-Functional & Quality Systems Engagement
• Work closely with Manufacturing Operations, Quality, and Engineering teams to ensure production readiness
• Support implementation and maintenance of quality systems and structured manufacturing processes
• Provide clear documentation, reporting, and communication from field activities
• Contribute to operational improvements across the manufacturing and supplier ecosystem

Qualifications

• Education: Bachelor’s degree in Mechanical, Manufacturing, or Industrial Engineering, or equivalent hands-on manufacturing experience
• Experience: 3–5 years of manufacturing engineering, production, or supplier industrialization experience
• Experience in at least one core manufacturing process (metal stamping strongly preferred; machining, sheet metal, casting, extrusion, or cold heading also valued)
• Experience working in smaller manufacturing environments (family-run, startup, or sub-50 employee facilities preferred)
• Experience supporting tooling, PPAP, supplier qualification, or production line validation
• Experience with quality systems required

Required Skills

• Hands-on understanding of manufacturing and production processes
• Ability to operate effectively in fast-moving, less structured manufacturing environments
• Strong documentation and communication skills (written and verbal)
• Experience creating SOPs, conducting inspections, and auditing manufacturing facilities
• Problem-solving mindset with strong technical curiosity
• Ability to work cross-functionally and independently in the field
• Comfortable spending significant time on manufacturing floors and supplier sites
• Travel readiness: Willingness to travel approximately 30–40%

Equal Opportunity Statement

Pegasus Solar is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.