Information Technology Jobs in California

Open date: March 4, 2026

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

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

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

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

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

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

Please Note:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Please note:

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

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

Program:

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

Course Descriptions: courses/datasci

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

Minimum 4 years of professional experience in the relevant field.

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

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

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

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

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

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

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

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

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

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

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

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

  
  

• Cover Letter

  
  

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

  
  
  

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

  
  
  

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

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

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

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

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

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

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

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

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

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

Open date: August 7, 2025

Most recent review date: Tuesday, Mar 3, 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, Aug 7, 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 Law is generating an applicant pool of qualified instructors should openings arise.

Berkeley Law is one of the premier law schools in the United States. Our programs are demanding, engaging, hands-on, and selective. As with all our faculty, we expect our lecturers to demonstrate a strong commitment to academic rigor and intellectual diversity.

Berkeley Law strives to educate responsible, effective, and forward-thinking advocates who serve the public through legal practice, public policy, academic scholarship, and related fields. In doing so, the school addresses some of society's most pressing challenges by leveraging its strengths in teaching and research to improve law, policy, and public institutions. At the heart of Berkeley Law's public mission is a commitment to access, affordability, and empowering students from all backgrounds to pursue impactful careers across a wide range of professional paths.

The J.D. and LL.M. programs host a diverse and constantly evolving curriculum. Hundreds of courses are offered, including dozens in our top-ranked Law and Technology, Business Law, International Law, Environmental Law, and Social Justice programs.

This pool encompasses courses on intellectual property law, copyright, patent and patent litigation, trademark, trade secret, regulated digital industries, privacy, cybersecurity, computer programming, biotechnology and life sciences innovation law, computer law, videogame law, art and cultural property, entertainment law, computer crime law, wine and alcoholic beverages law, Artificial Intelligence and the law, law governing use of Name, Image & Likeness, and other major and emerging practice areas in law and technology.

Instructors for lecture courses are appointed in the Lecturer title; instructors for experiential center courses are appointed to the Field Work Supervisor title. The applicant selected will have important teaching responsibilities, including preparing course materials (such as the syllabus) and maintaining a course website, and will also be expected to hold office hours, assess and offer feedback on student work, assign grades, and advise students.

UC Lecturers and Field Work Supervisors are academic appointees in an organized bargaining unit and are exclusively represented by the American Federation of Teachers - Unit 18.

* Bachelor's degree, or equivalent international degree, is required at the time of application.

* J.D., Ph.D., M.B.A., LL.M. or Master's degree, or equivalent international degree, and a minimum of three years of professional experience in either legal practice, judicial clerkship, or law school teaching, in the United States, or

* Bachelor's degree and a minimum of six years professional experience in either legal practice, judicial clerkship, or law school teaching, in the United States.

* Availability to teach in-person during required law school class times.

* Experience teaching courses in a United States law school, with outstanding student valuations; and/or

* Five or more years of legal practice experience in the United States or another jurisdiction, in the area of law and technology.

Teaching evaluations and/or other materials or information may be requested of top candidates.

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

  
  

• Teaching Statement - Please address the following questions related to your potential teaching at Berkeley Law. Please limit your response to 300 words.

  
  
  

  -- Please discuss your competencies and experiences relevant to successful instruction for law school courses, including your prior law teaching experiences, 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. We also welcome information about other aspects of your professional experience as it is specifically relevant to teaching at Berkeley Law.

  
  

• 2 required (contact information only)

Help contact:

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

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

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

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

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

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

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

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

Open date: February 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.

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

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

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

No more than three years of postdoctoral research experience.

• 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.

  
  

• 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.

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
  

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About the Role & Team

Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe.

Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us.

Are you an OT or ICS engineer who has an interest and aptitude for network design and cyber security?

As a Ride Control Systems Security Engineer you will work within Walt Disney Imagineering’s Ride Studio on multiple ride attraction projects and are responsible for network architecture and cyber security design and implementation activities on new ride projects for installation in all our parks across the globe.  Join us in a highly collaborative and self-directed atmosphere to lead efforts applying leading edge network technology on Disney rides!

You will report to the Ride Controls Systems Engineering Executive

This is a full time role.

What You Will Do:

• Lead Operational Technology (OT)/ Industrial Control Systems (ICS) network architecture and cyber security systems development, design, and implementation for automation and embedded control systems on a wide variety of large-scale, highly complex, and innovative ride systems
• Perform engineering design and analysis for ride system networks, with focus on automation system architecture
• Design and test cyber security solutions and network architectures for ride systems
• Design, model, and analyze data network communication systems
• Research and test new products, technologies, and methodologies and conduct trade-off studies
• Prepare and propose new cyber security and network architecture concepts and standards
• Lead standards and policies development for ride control network and cyber security architectures
• Collaborate with and support project teams on network requirements, implementation, and issues
• Collaborate with attraction development teams to design and deliver ride networks
• Develop and analyze OT network performance requirements for high availability real-time system
• Develop and capture requirements and functional specifications in documents, drawings, and models
• Develop implementation plans and budgets for ride control network systems
• Develop and implement mock-ups and prototypes for proof-of concept efforts
• Develop test requirements and documents and conduct ride network installation/commissioning efforts

Required Qualifications & Skills

• At least 3 years of experience with design, engineering, installation, and commissioning of highly networked automation, process control, and industrial control systems
• At least 3 years of experience in network systems design, installation and configuration
• At least 3 years of experience with Linux and Windows system administration experience
• Demonstrated experience in network design and analysis approaches to ensure and balance network availability, performance, resiliency and security
• Knowledge of wired and short-range wireless communication networks used in high availability industrial and embedded applications
• Solid understanding of communication technologies/protocols: TCP/IP, CAN, Serial, ProfiNET, Ethernet/IP, EtherCAT, 802.11
• Demonstrated experience in wireless communications for control and monitoring high-availability safety critical systems
• Demonstrated experience evaluating and remediating network and system vulnerabilities
• Demonstrated experience with cyber security technologies including firewalls, endpoint security solutions, VPNs, network security monitoring and detection, and security information and event management (SIEM).
• Solid skills in technical document writing
• Ability to travel and work both domestically and internationally, for varying durations that could be up to 3 months
• Ability to handle multiple complex efforts simultaneously, coordinate team efforts, and manage tasks and priorities
• Ability to maintain knowledge of constantly changing network and cyber security concerns in OT/ICS systems

Preferred Qualifications and Skills

• Proficient in Rockwell and/or Siemens automation systems architecture and components
• Experienced in fail-safe and safety-related system design and analysis
• Experience with multitasking software platforms and design approaches
• Experience with wired and wireless network design and configuration
• Experience with firewalls, VPNs, network security monitoring, and vulnerability assessment tools
• Knowledge of software configuration management/version control tools
• Cisco, GIAC, CompTIA or other relevant network and cyber security certifications strongly preferred

Education

• As a minimum a Bachelor of Science Degree in engineering, computer science, or related field from an accredited university required; Electrical Engineering preferred

Additional Information:

• Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at  

#DXmedia

Our customer, an Energy Infrastructure company, is seeking a Business System Analyst (Legal Technology).

This is a high-impact opportunity at the intersection of legal and technology. The role will work closely with attorneys and IT teams, leveraging AI tools, Power BI, iManage, and TeamConnect to modernize legal workflows.

Role: Business Systems Analyst (Legal Technology)

Work Mode: Full-time, Permanent Position

Geographical Location: Los Angeles, CA or San Diego, CA (Hybrid)- 4 days onsite / 1 day remote per week

Responsibilities:

• Oversee the law department's technology portfolio, architectural roadmap, software vendors, and IT-managed services.
• Partner with stakeholders across IT organization to align legal technology initiatives with enterprise strategy.
• Advance the law department's use of artificial intelligence and enable legal-specific AI use cases.
• Translate complex business strategies into enterprise architecture and technology requirements across multiple platforms.
• Establish requirements management standards, methodologies, and best practices to enhance project delivery quality.
• Influence strategic technology investment decisions through business cases aligned with corporate objectives.
• Architect integrated solutions across systems, business units, and external partners while ensuring regulatory compliance.
• Drive continuous improvement in business analysis methodologies using industry innovations and lessons learned.
• Identify and mitigate risks in complex system implementations and develop contingency plans.
• Analyze industry trends and emerging technologies to inform long-term digital transformation strategy.

Experience:

• Typically requires 10+ years of related experience.
• Experience in legal technology within a law firm or in-house legal department is required.
• Must reside in Southern California or be willing to relocate upon hire.

Key Requirements (Must Haves):

• Strong technical skills including AI tools (Copilot, ChatGPT, etc.).
• Strong understanding of databases and enterprise systems.
• Experience with iManage (Document Management System).
• Experience with Power BI.
• Experience with Mitratech TeamConnect or Enterprise Legal Management (ELM) platforms.
• Legal technology experience from a law firm or in-house legal department.
• Excellent communication and training skills, with the ability to work closely with attorneys.
• Highly detail-oriented, professional, motivated, and consultative.
• Undergraduate degree.

To apply:

If you are qualified, interested, and available, please send 1) your WORD version of your resume and 2) an email stating why you are a good fit for this position to

ElevateFlex provides an unparalleled platform for you to work with innovative companies and law firms worldwide on various exciting and challenging roles. We pride ourselves on respecting your individuality and choice of career, allowing you to bring your very best to each role, to continue to develop your experience, expertise, and professional network, and be supported with a package of benefits tailored to your needs.

As a member of our talent community, you will benefit from Elevate's curated training suite to enhance and develop your skills. You will have access to hands-on support, networking opportunities, and accessing the most up-to-date resources. By joining our global community of Talent, you will get the opportunity to work with our best top law firms and law department customers.

Equitability and inclusion are critical to ElevateFlex's success. As The Law Company, changing the legal business landscape, we know a diverse, inclusive work culture is at the heart of attracting, retaining, and celebrating the industry's most talented people. We empower our employees to bring their whole selves to work because we know that diversity of experience and perspective drive innovation and is simply good business.

As a strong proponent of diversity, equitability, and inclusion, ElevateFlex is committed to hiring diverse candidates from all backgrounds. We invite you to apply to become part of the ElevateFlex Team – help us change the legal business landscape and make a dent in the legal universe.

Job Overview

The Medical Information Specialist is a contract role supporting day to day Medical Information (MI) including Medical Review Committee (MRC) responsibilities. This role coordinates cross functional review activities, tracks MI projects and deliverables, and supports timely, compliant content review and approval. The Specialist works closely with Medical, Legal, and Regulatory stakeholders to manage workflows, support system operations, and assist with inspection readiness while driving efficient and consistent MI processes.

Key Responsibilities

• Manage content submissions, routing, version control, and approvals in Veeva

• Coordinate MRC schedules, agendas, meetings, and reviewer follow up

• Track MRC and MI timelines; identify and escalate risks or delays

• Maintain MI trackers (content updates, inquiries, escalations, project status)

• Collect and report MI/MRC metrics (cycle time, volumes, trends)

• Support MI content lifecycle (FAQs, standard responses, scientific content)

• Maintain MI SharePoint/team sites, support portal or website updates

• Support SOPs, templates, training materials, and workflow training

• Assist with audit and inspection readiness documentation

• Ensure compliance with SOPs, quality standards, and regulatory requirements

• Support MM launch readiness and post-launch MI activities

• Participate in continuous process improvement initiatives to enhance MRC and MI efficiency

• Support system testing, user acceptance testing (UAT), and implementation of MI-related tools or process enhancements

Qualifications

• Bachelors or advanced degree in life sciences, pharmacy, healthcare, project management, or a related field

• 3-5+ years of experience in Medical Information, medical content review, or pharmaceutical project management

• Hands-on experience with Veeva Vault (PromoMats, MedComms, or similar modules) or comparable content management systems

• Strong project management, organizational, and stakeholder coordination skills

Key Competencies

• Attention to detail and strong quality mindset

• Ability to manage multiple priorities in a fast-paced, regulated environment

• Excellent written and verbal communication skills

• Proactive problem-solving and continuous improvement orientation

• Ability to influence and collaborate across cross-functional teams

Location: San Francisco, CA 94111

Travel: Requires up to 20% domestic & International travel.

Telecommuting: Up to 1 day per week.

• 
  
• Identify and assess investment opportunities in companies across several sub‑sectors of U.S. Tech & Consumer across private and public stages.
  
• Evaluate, conduct due diligence, and execute investments.
  
• Monitor the performance of portfolio companies and help to lead them into public listing or divestment.
  
• Lead due diligence, financial modelling, draft of investment papers, co‑ordination of internal approval processes and finalization of legal documentation in transaction processes.
  
• Establish and cultivate relationships with companies, corporate partners and other relevant institutions.
  
• Develop, and coach junior members of the team.
  
• Develop and renew industry/sector knowledge as well as macro and regulatory changes.
  

• 
  
• Bachelor's degree or equivalent in Business Administration, Finance, Accounting, Economics, Engineering or related field of study.
  
• 3 years of experience in any job title/occupation/position involving investing in the areas of private equity, growth, or public markets.
  
• Experience specified must include each of the following:
  
• 3 years of experience with financial analysis to support investment decision utilizing general accounting and finance principles including Profit & Loss modeling and valuation analysis.
  
• 3 years of experience with researching and explaining market events utilizing quantitative and analytical skills.
  
• 3 years of experience with MS Office (Excel and PowerPoint).
  
• 3 years of experience with research resources including Capital IQ and PitchBook.
  
• 2 years of experience in investing in the Technology and Consumer sub‑sectors.
  
• Telecommuting permitted up to 1 day per week.
  
• Requires up to 20% domestic & International travel.
  

101 California Street, Suite 3700, San Francisco, CA 94111

Salary: $221,400 to $273,000/year

Hours: M-F, 40 hours/week

Internal Referrals for this position are eligible for the Employee Referral Program.

Nearest Major Market: San Francisco

Nearest Secondary Market: Oakland

Open date: July 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: Friday, Jul 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 Pantas and Ting Sutardja Center for Entrepreneurship & Technology (SCET) at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach experiential-based courses in SCET, housed within the College of Engineering, should an opening arise. The number of positions varies from semester to semester (Spring, Summer and Fall) depending on the needs of the department.

UC Berkeley's SCET is the premier institution for the study and practice of entrepreneurship and technology innovation. SCET's mission is to empower innovators to positively change the world and believe mindsets and behaviors matter, diversity adds value, and innovators should be responsible for what they create. Since 2005, SCET has created the foundation of Berkeley's entrepreneurship ecosystem and is known for developing the Berkeley Method, an internationally recognized approach to teaching technology entrepreneurship to undergraduate students, innovation to graduate students, and technology firm leadership to executives and professionals. SCET is where aspiring entrepreneurs and innovators take a deep dive into the world of entrepreneurship and technology innovation. SCET courses offer students the opportunity to learn from experts in their fields, as well as their classmates, and address real-world problems through hands-on group projects. Students have the chance to build networks, learn how to start and grow their own start up, and strengthen transferrable skills in areas such as leadership, teamwork, and communication. The mindsets and skills introduced in SCET classes prepare students to become innovative leaders in their industry, jobs or ventures regardless of the field.

SCET hires a number of qualified professionals and academics to hold temporary lecturer appointments to lend variety and subject matter expertise to our core topics. The topics in our Fall, Spring and Summer curriculum may include but are not limited to: Technology Entrepreneurship, the Berkeley Method of Entrepreneurship, Leadership, Product Management, and other advanced topics and challenge labs in entrepreneurship, innovation, and technology including, but not limited to environmental sustainability, plant based foods, smart cities, future of work, health technology, sports technology, and other emerging technologies and industries.

SCET hires for both lecturer and Teacher Special Program (TSP) positions. TSPs teach short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' format in August and January. Lecturers and TSPs are responsible for the course syllabus, curriculum development and delivery, holding office hours, student assessment through relevant projects, presentations, problem sets, exams, and/or class attendance and participation, and assigning grades.

Unit:

Labor Contract:

Bachelor's degree or equivalent international degree required at the time of application.

Advanced degree or five years teaching experience and/or five years industry experience.

Experience starting and growing new technology ventures, investing, and/or executive experience. Experience teaching undergraduate-level innovation topics.

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

  
  

• Cover Letter - Within your cover letter please address your experience and interest in teaching as well as your experience starting and growing new technology ventures, investing, and/or executive experience.

  
  

• 0-2 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: January 1, 2026

Most recent review date: Friday, Feb 6, 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: Thursday, Dec 31, 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 History at the University of California, Berkeley, invites applications for a pool of qualified temporary instructors to teach courses should an opening arise.

The Department of History is generating an applicant pool of qualified instructors to teach courses in all areas of History (Africa, Ancient Greece & Rome, Byzantine, Early Modern Europe, East Asia, North America, Jewish, Late Modern Europe, Latin America and the Caribbean, Soviet Union, Medieval Europe, Middle East, South Asia, Southeast Asia, and other various needs), pending openings. Currently identified openings are in Africa, Europe and the Atlantic World 1650-1850, and the History of Science, Technology, and Medicine. This pool includes assignments to teach courses in the history of science, technology, and medicine, including courses that are offered together with Science, Technology, and Society (STS) and/or Data Science.

In addition to teaching responsibilities, general duties may include holding regular office hours, calculating grades, advising students, preparing course materials, managing GSIs, and attending appropriate meetings/orientations, etc.

It is important to mark any and all specializations that match your area of expertise. If you would be available for or are interested specifically in summer teaching, please indicate it as a specialization as well.

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

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

A PhD (or equivalent international degree) in History, or related field. Demonstrated teaching excellence in the appropriate fields with undergraduates and, where appropriate, graduate students.

• Cover Letter - Please indicate in bold in the first paragraph of your cover letter your area(s) of specialization noting time period, any regional emphasis and topical focus.

  
  

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

  
  

• Sample Syllabus

  
  

• 2 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