Engineering Jobs Full Time Jobs in Berkeley

1,410 positions found — Page 6

Lecturer - Data Science - School of Information
Salary not disclosed
Berkeley, CA 2 days ago
Position overview

Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically for one to three sections per term, up to three terms per year, resulting in total compensation of approximately $8,181 per section at 17% FTE per academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.

Percent time:
Percent time 10% to 100% time

Anticipated start:
Positions typically start in January, May, and August.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

Position duration:
Initial position duration is for up to one year, with the possibility for renewal. Appointments may be renewed based on need, funding, and performance.

Application Window


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.



Position description

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.



About The I School

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.



Responsibilities Include:

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



Qualifications

Basic qualifications (required at time of application)

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



Additional qualifications (required at time of start)

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.



Preferred qualifications

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


Application Requirements

Document requirements

  • 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)




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF05270

Help contact:



About UC Berkeley

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 location
Berkeley, CA, or remote (US-based).
Not Specified
Founding Account Executive (Graph & AI)
✦ New
Salary not disclosed
San Francisco, CA 1 day ago

About FalkorDB


FalkorDB is the world’s fastest graph database, engineered for real-time, high-scale enterprise applications. We are the engine behind the next generation of cybersecurity, fraud detection, and AI-driven systems. As we scale our footprint, we are looking for a foundational sales leader to own the Bay Area and drive our enterprise expansion.

The Role


We are seeking an Enterprise Hunter not a "Farmer." You are a high-octane sales professional with a track record of crushing quotas in the deep-tech software space. You don’t just manage a territory; you dominate it.

You will be responsible for navigating complex, technical sales cycles and building strategic partnerships with the most innovative companies in the world. This is a high-impact role for someone who thrives on the hunt and wants to shape the GTM strategy of a category-defining company.


What You’ll Do

  • Drive New Business: Execute a ruthless territory plan to acquire "new logo" enterprise accounts across Cybersecurity, Infrastructure, and AI.
  • Navigate Technical Cycles: Lead complex, POC-driven sales motions, moving seamlessly between developer-level technical deep dives and executive-level value propositions.
  • Multi-Thread Strategic Deals: Build deep relationships with CTOs, VPs of R&D, and Architects to ensure FalkorDB is the standard for their infrastructure.
  • Scale the GTM: Partner with Product and Marketing to refine our messaging and contribute to the regional growth playbook.
  • Forecast with Precision: Maintain rigorous CRM hygiene and provide predictable revenue forecasting.


What We’re Looking For

  • The Track Record: 5+ years of quota-carrying experience in enterprise software, consistently landing in the top 10% of your peer group.
  • Technical Fluency: You speak the language of infrastructure, databases, and developer tools. You aren't afraid to get your hands dirty in a discovery session.
  • Strategic Agility: Experience managing 6–12 month sales cycles with a "win-fast" mentality.
  • The Startup Mindset: You excel in high-accountability, low-bureaucracy environments. You see a lack of process as an opportunity to build one.
  • The Network: A pre-existing network within the Bay Area tech ecosystem is a significant advantage.


The "Edge" (Preferred Experience)

  • Direct experience selling Graph Technology or high-performance data platforms.
  • Background in Open Source business models or hybrid SaaS/On-prem environments.
  • Experience at high-growth icons like Neo4j, MongoDB, Snowflake, Redis, or Databricks.


Why FalkorDB?

  • Product Superiority: Sell a product with undeniable technical benchmarks and clear market differentiation.
  • Uncapped Upside: A competitive compensation plan designed to reward over-achievement.
  • Influence: Direct access to founders and the ability to influence the product roadmap.
  • Growth: The opportunity to be one of the first boots on the ground in our most critical market.


Job Type: Full-time

Not Specified
Estimator
🏢 Hays
Salary not disclosed
Alameda, CA 4 days ago

Your new company

Our client, a well‑respected San Francisco Bay Area General Contractor, is adding an Estimator to its 12‑person preconstruction team. The company is known for consistently delivering high‑quality work. The firm has built a strong reputation across multifamily, commercial, civic, aviation, and seismic‑retrofit projects ranging from $5M to $200M+. The company is known for its supportive culture, stable workload, and leadership that actively invests in training and career development. This is a full‑time, in‑office role in San Francisco with an excellent work‑life balance.



Your new role

As the successful Estimator, you’ll support preconstruction efforts on projects typically ranging up to $50m, handling full-scope estimating responsibilities. You’ll work alongside Senior and Junior Estimators and collaborate closely with project teams and design partners.


Key responsibilities include:


  • Preparing detailed takeoffs, budgets, and cost estimates
  • Reviewing plans, specs, and project documents
  • Leading subcontractor outreach and bid scoping
  • Supporting proposals, bids, and value‑engineering
  • Participating in preconstruction and design development meetings


What you'll need to succeed


  • 5–7 years GC experience, including 1–2 years full-scope estimating
  • Experience with multifamily and negotiated work
  • Degree in Construction Management, Architecture, or Engineering
  • Strong plan reading, communication, and collaboration skills
  • Ability to work onsite in San Francisco


What you'll get in return

  • Base salary up to $155k
  • $650/month vehicle allowance, gas card, Fastrak
  • Bonus eligibility
  • Full medical, dental, vision + 401(k) match
  • PTO, holidays, professional development
  • Supportive leadership and a well-staffed team


What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your resume or call us now to discuss. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Not Specified
Lecturer - Information and Cybersecurity - School of Information
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 4 days ago
Position overview

Position title:
Lecturer

Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically for one to three sections per term, up to three terms per year, resulting in total compensation of approximately $8,181 per section at 17% FTE per academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.

Percent time:
Percent time 10% to 100% time

Anticipated start:
Positions typically start in January, May, and August.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

Position duration:
The initial position duration is up to one year, with the possibility of renewal. Appointments may be renewed based on need, funding, and performance.

Application Window


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.



Position description

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.



About The I School

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.



Responsibilities Include:

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



Qualifications

Basic qualifications (required at time of application)

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



Additional qualifications (required at time of start)

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.



Preferred qualifications

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


Application Requirements

Document requirements

  • 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)




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF05271

Help contact:



About UC Berkeley

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 location
Berkeley, CA, or remote (US-based).
Not Specified
Lecturer - Information Management - School of Information
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 2 days ago
Position overview

Position title:
Lecturer

Salary range:
The starting, full-time equivalent annual salary rate ranges from $79,887 - $128,194 , depending on experience. Appointments are typically made at 25% time for 2-unit courses, 33% time for 3-unit courses, and 42% time for 4-unit courses, for a period of 5 months. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.

Percent time:
Percent time 12.5% to 100% time

Anticipated start:
Positions typically start in January, August, and occasionally June.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

Position duration:
Initial position duration is for up to one year, with possibility for renewal. Appointments may be renewed based on need, funding, and performance.

Application Window


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.



Position description

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.



About the I School

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.



Responsibilities Include:

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



Qualifications

Basic qualifications (required at time of application)

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



Additional qualifications (required at time of start)

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.



Preferred qualifications

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


Application Requirements

Document requirements

  • 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)




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF05269

Help contact:



About UC Berkeley

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 location
Berkeley, CA
Not Specified
Project Engineer
Salary not disclosed
Alameda, CA 4 days ago

Project Engineer – Heavy Civil


San Francisco Bay Area, CA

We’re hiring a Project Engineer on behalf of a leading heavy civil contractor in the Bay Area. This role is ideal for a graduate or early-career engineer (1–5 years’ experience) who wants to gain exposure to all aspects of public works infrastructure and underground utilities.


About the Company

This contractor specializes in public works and underground construction, delivering projects such as:

  • Water & sewer transmission pipelines
  • Pump stations
  • Water & wastewater treatment facilities
  • Other underground utility infrastructure for municipalities across the Bay Area

With a reputation for technical excellence and collaborative project delivery, they offer a career path that combines hands-on engineering with leadership development.


Responsibilities

  • Assist the Project Manager in delivering projects on time and on budget
  • Track progress, update schedules, and prepare project reports
  • Review and process submittals, shop drawings, and RFIs
  • Perform geotechnical reviews and analysis (trench stability, shoring, dewatering, etc.) for underground utility work
  • Support quality control and testing requirements
  • Prepare and track change orders
  • Review contract documents and specifications to ensure compliance
  • Maintain detailed project documentation
  • Order and track project materials, equipment, and supplies
  • Coordinate with subcontractors and suppliers to ensure timely delivery
  • Interface directly with municipal owners, inspectors, and agencies throughout the Bay Area
  • Maintain strong professional relationships with owners, engineers, subcontractors, and field teams
  • Resolve conflicts and support effective problem-solving on-site
  • Attend progress meetings with municipalities and stakeholders
  • Support job site safety programs and ensure OSHA compliance
  • Assist with environmental and regulatory requirements related to public works


Qualifications

  • Bachelor’s degree in Civil Engineering, Construction Management, or related field
  • 1–5 years of relevant experience (internships or full-time) in construction preferred
  • Strong understanding of civil principles and interest in underground construction
  • Excellent organizational, communication, and problem-solving skills
  • Ability to thrive in a public works contracting environment with multiple stakeholders


Compensation & Benefits

  • Salary $80,000 - $140,000
  • Company vehicle + fuel card
  • 401(k) retirement plan
  • Health & dental insurance
  • Long-term career growth opportunities with a respected Bay Area contractor
Not Specified
Senior Cloud Support Engineer
✦ New
🏢 Crusoe
Salary not disclosed
San Francisco, CA 1 day ago

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.


About This Role:

Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position.


What You’ll Be Working On:


  • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+).
  • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues.
  • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.
  • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing.
  • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery.
  • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures.
  • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs).


What You’ll Bring to the Team:


  • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience.
  • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments.
  • Version Control: Proficiency with Git for code management and collaboration.
  • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments.
  • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana).
  • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP).
  • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations.
  • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN).


Bonus Points:

  • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator.
  • Cloud Expertise: Deep understanding of specific cloud platforms and services.
  • Automation Skills: Experience with automation tools and scripting languages.
  • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions.
  • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues.
  • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology.


Benefits:

  • Industry competitive pay
  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit; $300 per pay period


Compensation:

Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Not Specified
Bellwether Postdoctoral Scholar - School of Information
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 2 days ago
Position overview

Position title:
Bellwether Postdoctoral Scholar

Salary range:
The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table for the current salary scale for this position: . The current minimum salary range for this position is $69,073-$74,281. Salaries above the minimum may be offered when necessary to meet competitive conditions. A reasonable estimate for this position is $10,000 higher than the posted minimum, dependent on experience level at appointment.

Percent time:
100%

Anticipated start:
As soon as July 2026. Exact start date contingent on completion of degree and is also negotiable.

Review timeline:
Review will begin in March and finish in April.

Position duration:
2 years.

Application Window


Open date: February 13, 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, Mar 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.



Position description

The School of Information at the University of California, Berkeley invites applications for up to three new full-time Bellwether Postdoctoral Scholars to start as soon as July 2026. The exact start date is negotiable. These positions are available for two years, and are non-renewable. J-1 visa sponsorship is available for this position.



These postdoctoral positions are for academics in the early stages of their career who demonstrate exceptional potential as a scholar and researcher. Applicants should either have completed a doctoral degree, or be able to convincingly demonstrate that they will complete the degree before they intend to start this postdoctoral position (e.g. by documenting a scheduled viva/final defense).



We are seeking applicants with active research plans in any of the following areas:



BPS 1) We seek applicants pursuing a research agenda at the intersection of computer science and applied economics, with interdisciplinary training and interests in both topics. The successful applicant will work on projects that address pressing policy issues, using a mix of quantitative and computational methods (e.g., econometrics, data science, AI/ML). Examples of active projects include, but are not limited to, developing theory and methods for robust and equitable decision making in social settings; the use of machine learning and digital data to guide resource allocation and related policies in low-income countries; and creating and validating new techniques for monitoring living standards and well-being in high-stakes policy environments. This position will be supervised by Joshua Blumenstock.



BPS 2) We seek applicants with interdisciplinary training and interests pursuing a research agenda at the intersection of information science, computational social science, and public-interest research. The successful applicant will work on projects that examine how sociotechnical information systems shape high-stakes decision-making across digital and institutional contexts to address pressing issues in information access, trustworthiness, and credibility, using a mix of computational, quantitative, and qualitative methods (e.g., natural language processing, digital trace data, surveys, and interviews). Examples of active projects include, but are not limited to, studying online communities as informal information infrastructures; analyzing how search engines and digital platforms structure the visibility and credibility of information; developing methods to monitor and contextualize misinformation and uncertainty in sensitive or politicized domains; and advancing conceptual frameworks for understanding information ecosystems as structural determinants of equity, autonomy, and well-being, including but not limited to health-related contexts. This position will be supervised by Coye Cheshire.



BPS 3) We seek applicants with active research plans in climate and sustainability informatics, leveraging information and/or information tools to empower individuals, communities, and organizations in tackling the challenges of climate change and biodiversity conservation. We welcome applicants with strong backgrounds in one or more of the following areas: remote sensing, ML, NLP, HCI, participatory design, design research, biosensory computing. The successful applicant will become a core member of the IceBerk Lab ( ), and be supervised by John Chuang, with possible co-supervision by another IceBerk faculty member where appropriate.



BPS 4) The Cultural Analytics group seeks postdoc applicants to conduct data-driven research across archival heritage and born-digital media. Current projects include, but are not limited to: (i) the study of narrative, belief and resonance, where the goal is to understand how narrative is mutually constitutive of beliefs, and how narrative resonates in and across communities of belief; (ii) extracting narrative elements from literary works, with a strong focus on complex corpora such as the Icelandic sagas to understand composition and social modeling in late medieval fiction; (iii) further developing the approach of archetyptonics along with the SOCKS project at University of Vermont's Complex Systems Center; and (iv) refining a search engine for popular dance, where the search term is the dancer's sequence of poses, here focusing on Kpop dance. Ideal candidates bridge Computational Humanities/Social Science Computing (ML, Networks, and/or Computer Vision) with a qualitative theoretical background. You will be supervised by Tim Tangherlini (with potential I-School co-supervision), and be associated with the Berkeley Institute for Data Science (BIDS) and the AI Futures Lab. We welcome applicants with active research plans ready to contribute to a vibrant, interdisciplinary environment.



BPS 5) The goal of this postdoctoral position is to contribute to the development of an empirically-backed theoretical understanding of how people understand and make sense of the combination of graphic and textual information. We seek a scholar with expertise in some combination of information visualization, the psychology of reading and/or diagram interpretation, and cognitive science or neuroscience more generally to investigate human conception at the intersection of language and information visualization. Expertise in conducting and analyzing eye gaze is a requirement of the position. Expertise or interest in multimodal information, both cognitively and in large vision and language models is a plus. The mentor for this position is Professor Marti Hearst.



BPS 6) Seeking postdoc applicants with a passion for and commitment to equity-driven co-design with local marginalized Indigenous communities. A successful applicant will work on projects that weave together Indigenous knowledge, experiences, and values that address public-facing outcomes, such as informal science education programs and exhibits at local museums and cultural centers. The applicant will help develop theory and methods for world-building equity that integrate marginalized communities' cultural and social struggles. We are seeking applicants with the following attributes: strong background in co-design with marginalized communities, design research, qualitative methods, and experience building mixed reality systems. Knowledge of Indigenous research methods is a plus. This position will be supervised by Kimiko Ryokai.



The Bellwether Postdoctoral Scholar program is designed to allow exceptionally promising young researchers the time to develop their own research while collaborating with leading established faculty. It is designed to accelerate careers, and to maximize the ability of Bellwether Postdoctoral Scholars to build independent research trajectories. To accomplish this, a portion (30-40%) of each post-doc's time will be reserved for their own independent research and publication efforts, including publishing results from their dissertation.



Additionally, all Bellwether Postdoctoral Scholars will work with a mentor or mentors on research projects in the areas listed above (60-70%), all of which are either already active or will be at the time of the start of the post-doc. All have significant publication opportunities planned.



These postdoctoral positions are research-focused and do not include teaching. However, all post-docs will be given opportunities for guest lecturing and will be expected to give public talks about their research. Post-docs will also contribute to planning and hosting public talks for others, and will be expected to be active participants in I School academic events such as research talks.



Each postdoctoral scholar will have access to up to $5,000 annually for research expenses and travel to professional conferences and research opportunities. A laptop computer will also be provided for the duration of the post-doc.



For all of the above positions, we only seek candidates with excellent research and leadership abilities and a commitment to contributing to the UC Berkeley I School and the field of information more broadly while accelerating their career.



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. Faculty comprise 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 MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The 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.



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.



School:

School: about/community



Qualifications

Basic qualifications (required at time of application)

PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.



Additional qualifications (required at time of start)

PhD (or equivalent international degree) required by start date.



No more than three years of postdoctoral research experience.



Application Requirements

Document requirements

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


  • Cover Letter - 1-2 pages. Required elements of your cover letter include:



    which position(s) you are applying for (e.g. BPS1 or BPS5);

    when you would be available to start your postdoctoral work;

    a clear articulation of your fit with the UC Berkeley I School, addressing how your expertise overlaps with, enhances, or expands upon the research area indicated for your position(s) of interest. Please include names of any mentors that you would like to work with beyond the project supervisor.


  • Statement of Research - 2-3 pages. Includes a description of the focus of your planned independent research and publications during the post-doc, what resources would you need to do that work, and an explanation of how the research builds on and goes beyond work you have already done.


  • Writing Sample - Preferably a pre- or post-print of a first-authored publication.




Reference requirements
  • 3-5 required (contact information only)

We may contact your references at any stage in the hiring process unless you request otherwise. Please only provide contact information and do not request letters be sent at the time of application. Letters will be solicited for all finalists.



Apply link:
JPF05222

Help contact:



About UC Berkeley

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 location
Berkeley, CA
Not Specified
Estimator- Heavy Civil
Salary not disclosed
San Francisco, CA 4 days ago

Heavy Civil Estimator


When joining GSW Construction, Inc., you will be a part of a fast-paced construction team that strives for excellence. We are actively seeking an experienced Heavy Civil Estimator. The purpose of this role is to contribute to the success and profitability of projects by providing accurate, timely, and complete estimates. The Estimator will be responsible for calculating the cost of a broad range of projects. The goal is to provide accurate information to help in operations and strategic planning, perform quantity takeoff s, produce proposals, and prepare cost estimates.


Job Details: Full-time position

● Benefits: o Salary Employee (Schedule: Full-time with some required travel and weekend availability.) o 401(k) o OE3 Health & Dental Insurance o Paid Vacation o Salary DOE Essential Duties & Responsibilities

● Perform quantity take off s/reach out to potential subcontractors

● Analyze and compile estimate data that impact the cost of labor, materials, equipment requirements, location, and other factors to ensure a high-quality and timely estimate.

● Accurately prepares estimates. Review proposal specifications and drawings to determine scope. Determines the required contents of estimates and evaluates historical data to project man-hour data.

• Produce budgets from conceptual and schematic design phases that align with the organization's goals and strategy • Review drawings, specifications, and proposed project site conditions; record findings and solicit input from field operations to include in the final project estimate.

● Analyze alternative solutions and construction methods to increase the competitiveness of the bid.

● Apply mathematical calculations requiring advanced analytical processes to ensure logically estimated costs are accurate.

● Present estimate content in bid reviews with senior management to ensure accuracy and completeness. ● Communicate with owners, subcontractors, and public and private entities to ensure competitiveness.

● Develop and maintain business relationships to increase bid opportunities in the regional market.

● Participate in and lead discussions, catalyzing creative thinking and innovative ideas, and distinguishing a successful estimate.


Qualifications & Requirements

● Bachelor’s degree in civil engineering, Construction Management, or equivalent experience.

● 5+ years’ experience in heavy civil construction, emphasizing underground utilities, sewer/stormwater pump stations, WWTP/WTP work, heavy highway, bridges/concrete structures, and commercial/residential site work arena.

● Proficient in HCSS Heavy Bid

● Negotiated project experience preferred, including technical writing skills.

● Proficiency with all MS Office products (Word, Excel, PowerPoint, etc.)

● Advanced knowledge of civil engineering principles ● Advanced knowledge of construction principles and equipment capabilities

● Excellent interpersonal and communication skills. Specific Job Requirements:

● Knowledge of project management software and estimating software.

● Working knowledge of construction equipment, materials, techniques, and required standards applicable to the discipline.

● Successful completion of a pre-employment drug, alcohol, and background investigation.

● Valid Driver’s License.

● Current on all company-required safety training.

● Competence to maintain confidential information and avoid conflicts of interest.

● Adherence to the GSW Employee Handbook.


Notice to All Potential Job Candidates GSW Construction, Inc. is proud to be an equal-opportunity workplace. Individuals seeking employment at our company are considered without regard to age, ancestry, color, race, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, sexual orientation, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, religion, military or veteran status, or any other characteristic protected by federal, state, or local laws. Applicants must be authorized to work in the United States.



Not Specified
Product Manager
Salary not disclosed
San Francisco, CA 2 days ago

Job title: Product Manager

Location: San Francisco, CA

Duration: Full-time


Key Responsibilities

  • Product Roadmap Support: Assist in defining and prioritizing the Salesforce product backlog, ensuring alignment with the client’s broader business goals.
  • PMM & Adoption Strategy: Develop internal "marketing" materials (one-pagers, release notes, and demo decks) to drive user adoption and communicate the why behind new Salesforce features.
  • Data-Driven Decision Making: Analyze platform usage metrics and business KPIs to identify friction points and opportunities for automation or optimization.
  • Stakeholder Orchestration: Partner with sales, marketing, and customer success leaders to translate "pain points" into crisp functional requirements.
  • Agile Execution: Work closely with our engineering and Salesforce architect teams to ensure sprints are on track and UAT (User Acceptance Testing) meets the "Definition of Ready."


Required Qualifications

  • Experience: 5+ years of experience in Product Management, ideally within a B2B or SaaS environment.
  • The PMM Edge: Proven ability to synthesize complex technical features into simple, value-based narratives. You should be as comfortable in a slide deck as you are in a Jira ticket.
  • Data Fluency: Strong analytical skills with experience using tools (e.g., Excel, Tableau, or Salesforce Reports) to tell a story with data.
  • Communication: Exceptional written and verbal communication skills—this role requires "managing up" to client leadership.
  • Strong understanding of data analytics, leveraging insights to drive decision-making, and creating interactive dashboards for data visualization.
  • Strong experience beyond the Salesforce ecosystem, with broader expertise across multiple platforms and technologies.
Not Specified
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