Engineering Jobs in Richmond District, CA

Open date: May 12, 2025

Next review date: Friday, Mar 13, 2026 at 11:59pm (Pacific Time)

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

Final date: Monday, May 11, 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 Department of Chemical and Biomolecular Engineering (CBE) at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach undergraduate courses in all areas within chemical and biomolecular engineering, though candidates with experience in biochemical engineering laboratory will receive special consideration, should an opening arise. 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 department. This position is in a represented bargaining unit.

The vibrant community of CBE is situated within the College of Chemistry, a small college within a large campus, with a connected and collegial feel. The College provides comprehensive student support services including peer tutoring, professional advising, career placement, and drop-in counseling. Award-winning student groups including chapters of the American Institute of Chemical Engineers (AIChE), American Cancer Society (ACS) and Chemical Engineering Car (Chem-E-Car) enhance the student experience, and faculty members mentor students in clubs and teams in biofuels technology, cosmetics formulation, phytoremediation, and research projects.

General Duties

Classroom/laboratory teaching and preparation, managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.

Union Contract: resources/employment-policies-contracts/bargaining-units/non-senate-instructional/contract/

A bachelor's degree (or equivalent international degree) or enrolled in a bachelor's degree (or equivalent international degree) program.

A bachelor's degree (or equivalent international degree) and 2 years of experience in a laboratory course setting and/or research/professional experience.

A PhD degree (or equivalent international degree) in chemical engineering or a related field, and prior teaching experience.

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

  
  

• Cover Letter

  
  

• Statement of Teaching

  
  

• 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: June 14, 2025

Most recent review date: Tuesday, Jul 29, 2025 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: Tuesday, Aug 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 College of Chemistry at the University of California, Berkeley is generating an applicant pool of qualified lecturers to teach graduate courses on the Berkeley campus for the Master of Molecular Science and Software Engineering (MSSE) Program should an opening arise. We are seeking dynamic lecturers with a commitment to graduate education in computational science, data science, and software engineering to lead multiple courses each year. Disciplines where we are seeking instructors include:

• 
  
• Computational Chemistry
  
• Computational Quantum Chemistry
  
• Scientific Computing
  
• Machine Learning/Deep Learning
  
• Structural Bioinformatics
  
• High Performance Computing
  
• Complex mathematical modeling and simulations
  
• Leadership, management, and entrepreneurship
  

The MSSE Program is a unique program that is designed to formally train scientists, engineers, and computer scientists in computational and data science, and to provide them with the tools, software engineering practices, leadership, management, and entrepreneurial skills needed to create or lead science- or engineering-based enterprises. While the degree focuses on the molecular sciences, its content is suitable for any student pursuing software engineering or data science roles in other science-based industries, or in other areas that require advanced machine learning, complex mathematical modeling and simulations, or high-performance computing.

General Duties:

Classroom teaching and preparation, managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.

The MSSE Program seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Program:

Contract for the Lecturers Unit (IX) between the University of California and the American Federation of Teachers:

Advanced degree or enrolled in an advanced degree program.

Advanced degree.

• 
  
• A Ph.D., or equivalent international degree, in an area related to computational science, data science, and/or software engineering
  
• Prior teaching and/or work experience in computational science, data science, and/or software engineering
  
• Leadership, management, and entrepreneurial skills in STEM fields
  
• Existing authorization to work in the U.S.
  
• Proficient in C++ and Python programming languages
  

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

  
  

• Cover Letter (Optional)

  
  

• Statement of Teaching

  
  

• 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: October 30, 2025

Most recent review date: Monday, Mar 9, 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, Oct 30, 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.

UC Berkeley's Academic Talent Development Program (ATDP) offers challenging summer classes for high achieving and motivated young K- 12 scholars. Since 1982, the program has invited excelling students from the Bay Area and around the world into a unique academic community. We look for strong students from all backgrounds who are hardworking, enjoy learning, and are prepared for an intellectually stimulating and demanding summer class. Courses are taught by outstanding public school, private school, and university instructors as well as industry professionals who have deep knowledge of their subject areas and are committed to helping students think and understand deeply.

ATDP's mission is to enable all highly motivated and prepared students to pursue their academic passions through rigorous summer coursework in a community of like-minded peers.

ATDP's Learner Outcomes state that ATDP students will be able to:

• 
  
• successfully complete rigorous and challenging coursework in a chosen discipline,
  
• pursue their academic passions and deep interests, and
  
• participate in an academic community of similarly motivated peers.
  

Teacher Special Programs (TSP): The TSP will teach within ATDP's summer Elementary Division (ED, grades K-6), Secondary Division (SD, grades 7-12), or Global Programs (GP grades 7-12). This involves designing, and delivering age, grade, and achievement level student-centered curricula for a particular content area within the format and time parameters of a specific course, and whose teaching philosophy is aligned with ATDP's mission and Learner Outcomes.

ATDP unites teachers who love to teach with students who want to learn. We are in constant search of qualified, temporary, part-time, high-energy, passionate, and creative instructors, co-instructors, and instructional associates (IAs) for our summer courses. While each summer's faculty cohort is generally assembled by late winter, specific openings may remain unfilled, and we will keep promising candidates in mind for future summers.

Individuals who qualify to teach in the following subjects are encouraged to apply each year: Mathematics (ED & SD), Writing (ED & SD), Elementary Science (ED), Chemistry (SD), Physics (SD), Electronics (SD), Introduction to Engineering (SD), Intro/Advanced Biotechnology (SD & GP), Artificial Intelligence Applications (SD & GP), Advanced Robotic Engineering (SD), Earth/Planetary/ Physical Sciences (ED & SD), Programming in Scratch/Snap/Java/Python (ED & SD & GP), Algorithms & Data Structures (SD), Architectural Design (SD & GP), Art Practice (ED & SD), Business & Finance (SD & GP), Data Science or AP Statistics (SD), Entrepreneurship (SD & GP), Practice of Law (SD), Public Speaking (SD & GP), Social Psychology (SD & GP), AP Psychology (SD), Cognitive Neuroscience (SD).

Responsibility for teaching courses in ATDP's Elementary Division (grades K-6), Secondary Division (grades 7-12), and Global Programs (grades 7-12). Final course format (online or on- site) and schedule will depend on public health orders and/or University policies as well as enrollment minimums.

In addition to teaching responsibilities, duties include: holding office hours, assigning grades, writing student evaluations, advising students, attending faculty meetings, and preparing course materials. Teachers are also required to attend a Faculty-wide pre-service meeting in May; SD instructors must attend the Student/Parent orientation in June. ED instructors must attend the Student/Parent Orientation in July. Pending public health orders and/or University policies, such events may occur virtually.

School:

Program:

A Bachelor's Degree or equivalent international degree or enrollment in a Bachelor's degree or equivalent international degree program.

A Bachelor's degree or equivalent international degree.

Minimum three years demonstrated experience in related content area. Demonstrated experience teaching diverse K-12 students in formal or informal settings. U.S. Teaching Credential or M.A. or equivalent international credential/degree or higher in related content area. Teaching experience in the subject matter field with diverse populations preferred.

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

  
  

• Cover Letter

  
  

• Teaching Statement - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3 required (contact information only)

Reference names are collected but may not be contacted depending on the size of the recruitment pool and needs of the review committee. If references are requested, they will be requested for all applicants who are still under consideration at that time.

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: June 10, 2025

Most recent review date: Sunday, Feb 15, 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: Monday, Feb 1, 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 Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach Electrical Engineering or Computer Science courses should an opening arise. These are not tenure-track positions - selected candidates will hold the title of Lecturer. 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 department. Due to budget restrictions, no funding is available for visa or relocation expenses.

In addition to lecturing responsibilities, general duties for these positions include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), and maintaining a course website.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy in higher education through their teaching. UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.

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

Labor Contract:

Department:

Division:

School:

The minimum qualification required to be considered an applicant for the position is a Bachelor's degree (or equivalent international degree). Must be met by the time of application.

The following additional qualifications are required by the start date of the job. Advanced degree or four years teaching and/or industry experience.

Experience in teaching courses in Electrical Engineering or Computer Science, particularly courses with 200+ students. Experience managing large course staff.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Cover Letter (Optional)

  
  

• Curriculum Vitae - Your current and updated C.V.

  
  

• Statement of Teaching - Please discuss prior teaching experience, qualifications (including teaching evaluations, if available), teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  
  

  The teaching statement must include information on the course(s) the applicant is qualified to teach (after reviewing our list of courses: academics/courses).

  
  
  

  Courses of particular interest in the Computer Science division include CS 10, CS 61A, CS 61B, CS 70, CS 88, CS C8, CS C100, CS 160, CS 169, CS 170, CS W186, CS 188, CS 189, CS 194-100*, CS 195, CS 370, and CS 375. *Note: Candidates qualified to teach CS 194-100 possess teaching experience and a background covering the intersection of social justice and technology.

  
  
  

  Courses of particular interest in the Electrical Engineering division include EE 16A , EE 16B, EE 192, and EE 247B.

  
  

• 3 required (contact information only)

References will only be contacted at the finalist stage. We will seek candidate permission before contacting references.

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 5, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

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

Final date: Friday, Apr 10, 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 Chang Lab, led by PI Serina Chang, is part of the Berkeley EECS Department, the UCSF UC Berkeley Joint Program in Computational Precision Health, the Berkeley AI Research (BAIR) Lab, and the Center for Human-Compatible AI (CHAI).

We are seeking a postdoc to work on projects at the intersection of AI and human behavior, including modeling human behavior with AI, building AI tools to support societal decision-making, and studying the impacts of AI on society. Potential projects include:

1. 
   
2. Developing AI models of individuals that can accurately simulate complex behaviors across modalities, supported by rich, individual-level data including mobility trajectories, surveys, in-depth interviews, and health behaviors and outcomes.
   
3. Scaling simulations to entire societies with millions of agents, developing robust validation of societal simulations, and applying societal simulations to inform decisions in high-stakes domains (e.g., public health, emergency response).
   
4. Studying the impacts of generative AI on human health and well-being, from individual-level human-AI interactions (e.g., mental health risks, health decision-making) to community-level dynamics (e.g., changing support networks, engagement with health systems).
   

The selected candidate will assist with leading research projects, work closely with PI Serina Chang, mentor junior students in the lab, and help with the management of the lab.

Union: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

PhD degree or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program

PhD degree or equivalent international degree

• 
  
• PhD in Computer Science or closely related field
  
• Demonstrated record of publications in relevant computer science venues and/or general science journals
  
• Experience with training and evaluating generative AI models, working with large-scale messy datasets (e.g., mobility data, health data), and interdisciplinary research (e.g., computational social science, AI for health)
  
• 2-year postdoc is preferred, but we will consider applications for 1-year postdocs
  

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

  
  

• Representative paper - Please include one research paper where you played a substantial role and that are representative of your work and interests.

  
  

• Second Representative paper - Please include one research paper where you played a substantial role and that is representative of your work and interests.

  
  

• Statement of Research - (max 4 pages). Please discuss your past research and accomplishments (e.g., publications, awards, presentations, evidence of real-world impact). Please also describe your plans for future research, especially how they would align with this position.

  
  

• Mentorship statement - (max 1 page). Please describe your past experience with mentoring junior students, including PhD students, master's, or undergraduate, and your philosophy towards mentorship. This could include mentoring students on research projects and/or teaching experience.

  
  

• 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 10, 2026

Next review date: Tuesday, Mar 24, 2026 at 11:59pm (Pacific Time)

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

Final date: Thursday, Apr 9, 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.

Berkeley Summer Sessions & Study Abroad is a vibrant and dynamic organization that collaborates across faculty, academic units, international partners and campus service providers to enable more than 15,000 current and prospective Berkeley students, visiting students, and high school students to participate in more than 600 summer courses, study abroad experiences, global internships, and other learning opportunities. We are committed to offering quality, innovative learning experiences through open enrollment to a diverse audience of world-wide learners, while supporting the campus missions and commitments to its stakeholders.

Berkeley Summer Sessions & Study Abroad is a part of the division under the leadership of the Dean of Extended Education that also includes University Extension and Osher Lifelong Learning Institute.

Summer Sessions, in partnership with UC Berkeley's Electrical Engineering and Computer Science department (EECS), invites applications for a pool of qualified, dynamic instructors with a commitment to Pre-College education in Computer Science, Programming, and Data Science to teach high school students (grades 10-12) in our Berkeley Summer Computer Science Academy. This intensive, non-credit program is offered in-person over 2 weeks during weekdays (June 22, 2026 - July 3, 2026) on the UC Berkeley campus with some online instructional components, such as an Instructor Orientation and a student pre-arrival Welcome Webinar.

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

We are seeking qualified applicants who possess current subject matter expertise and teaching proficiency in the SNAP! programming language/coding software and in other introductory coding, computer science, data science, and artificial intelligence concepts.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Classroom (In-Person).

• 
  
• For synchronous instruction (classroom), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; reviewing and providing feedback on student work; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines; and responding to other requests from the Program Director or Department Director in a timely manner.
  

Berkeley Summer Computer Science Academy: summer-computer-science-academy

UC Berkeley's SNAP! Programming Language:

• 
  
• Bachelor's degree or equivalent international degree (or enrollment in a bachelor's degree or equivalent international degree program) required.
  

• 
  
• Bachelor's Degree or equivalent international degree required by the start date of the position.
  
• Minimum of one year of experience in related content area.
  
• Availability to teach in-person on the UC Berkeley campus weekdays between June 22, 2026 and July 3, 2026.
  

• 
  
• Advanced degree (or enrollment in an advanced degree) in course subjects.
  
• Subject matter expertise in SNAP! programming language/coding software and in other introductory coding, computer science, data science, and artificial intelligence concepts.
  
• 1 or more years of teaching experience in the course subject at a United States K-12, college, or university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Ability to convey conceptual and complex ideas and information.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Camtasia/Panopto); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  
• Familiarity with Title IX, CANRA, CLERY, Family Educational Rights and Privacy Act (FERPA) and related federal and state laws, health & safety regulations, policies and procedures, and risk management guidelines and best practices related to working with minors or demonstrated ability to learn such laws.
  

• Curriculum Vitae/Resume - Your most recently updated C.V. or Resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
  (Optional)

  
  

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
  

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.

Ray Therapeutics mission is to restore vision to people with retinal degenerations. RayTx is using a novel bioengineered optogenetic protein optimized for human vision delivered by AAV to restore visual function in a mutation agnostic approach and without the need for light enhancing eyewear. The company is developing its lead candidate RTx-015 in retinitis pigmentosa, a degenerative retinal disease with significant unmet medical need as well as a pipeline to treat both rare and large market indications.

We are currently seeking a highly motivated and detail-oriented Manager, CMC Product Management to join our team in the mission to restore vision to patients. This role will report to the Director, CMC Product Management and will be responsible for managing day-to-day CMC product activities across early and late phase development.

The Manager will work closely with internal CMC teams, Quality, Regulatory and external CDMOs to ensure timely execution of manufacturing plans, regulatory deliverables and product lifecycle activities. The position requires hands on process and/or analytical development and GMP AAV manufacturing and/or testing experience with the ability to be a team player both internally as well as with our external partners. The role is based in the Berkeley, CA office with a hybrid work from home/in office requirement and will require travel to our contract development and manufacturing organizations in the United States.

Essential Duties and Responsibilities:

• Support execution of RayTx’s CMC product lifecycle activities across development stages, including process development, tech transfer, manufacturing and regulatory submissions.
• Manage assigned CMC product activities to ensure alignment with program timelines, milestones, and development goals.
• Track CMC deliverables, timelines and communicates progress to stakeholders.
• Collaborate with CMC Analytical and MSAT teams on tracking and trending initiatives and data management.
• Serve as a day-to-day point of contact for assigned CDMO and product distribution vendors.
• Review and provide input on GMP documentation including, but not limited to master production records, test procedures, deviations, CAPAs and completes records.
• Provide input into risk mitigation and communicate to internal team.
• Support preparation and review of CMC sections for regulatory filings (IND, CTA, BLA, MAA) and ensures adherence to GMP and ICH guidelines.

Qualifications and Experience:

• Minimum bachelor's degree in relevant scientific or engineering discipline.
• 8+ years relevant biotech experience.
• Hands on experience in GMP AAV gene therapy manufacturing preferred.
• Knowledge of AAV analytical methods and testing preferred.
• Tech transfer experience preferred.
• Experience working with CDMO and external vendors preferred.
• Excellent scientific knowledge and acumen.
• Familiarity with CMC regulatory requirements and documentation
• Ability to travel up to 20%

Compensation Range and Benefits:

• For this role, the anticipated base salary range: $135,000 to $160,000, based on the candidate's professional experience level. The final salary offered for this position may take into account a number of factors including, but not limited to skills, education, and experience.
• Ray Therapeutics also offers annual performance-based bonus, annual equity awards and a comprehensive benefits package.

At Ray Therapeutics, we celebrate diversity and are committed to creating an inclusive environment for all employees; providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law.

All employment is decided on the basis of qualifications, merit, and business need.

Search Firm Representatives Please Read Carefully

Ray Therapeutics does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Please, no phone calls or emails.

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: 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