Engineering Structures Elsevier Jobs Full Time Jobs in Berkeley, CA

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Position Overview

The Regional Sales Manager - SF Bay Area & Western Region represents a curated portfolio of premium brands within an assigned territory, serving as the primary field partner to distributors and select dealers. The role centers on two key product lines: one undergoing a significant brand and product refresh following years in market, and another experiencing strong momentum and rapid growth. This position requires thoughtful brand stewardship, strong distributor relationships, and the ability to balance development, education, and sell-through across multiple lines.

This role is based out of the SF Bay Area with travel throughout the greater territory (Western Canada, PNW, Hawaii).

Key Responsibilities

· Represent and manage a curated portfolio of Lunada Bay Corp. brands, with primary focus on two core lines—one in active revitalization and one experiencing rapid growth

· Serve as the face of the Lunada Bay Corp. brands within the territory, building long-term relationships with distributors, dealers, and select trade partners

· Work closely with distributor principals and sales teams to align priorities, training, and in-market execution

· Support dealer and showroom partners through regular visits, product education, merchandising guidance, and hands-on market support

· Make targeted A&D calls in key markets, focusing on strategic firms, designers, and projects that align with brand positioning and distributor capabilities

· Partner with distributor and dealer teams to support specification influence and project pull-through, while recognizing that final project management and order execution reside with the channel

· Drive sell-through with thoughtful support of product launches, brand refresh initiatives, and select local programs

· Develop and execute territory plans that balance growth, brand integrity, and long-term market development

· Collaborate with internal teams including marketing, customer success team, and operations to ensure consistent and high-quality customer experience

· Track activity, opportunities, and performance using CRM and reporting tools

· Represent the Lunada Bay Corp. portfolio at industry events, trade shows, and design-focused functions as appropriate

· Provide ongoing market feedback on product performance, customer needs, and competitive dynamics

Requirements & Qualifications

· Bachelor's degree or 5+ years of outside sales experience representing manufacturers or rep agencies in tile, floor coverings, wall coverings, textiles, or related premium building materials

· Proven ability to manage multiple brands while maintaining focus on priority lines

· Experience supporting brand refreshes, product launches, or growth-stage product lines preferred

· Strong distributor and dealer relationship experience in design-driven or specialty markets

· Comfortable in a field-based role with regular regional travel

· Consultative, relationship-first sales style with attention to detail and brand presentation

· Highly organized and self-directed with strong territory and time management skills

· Proficient with CRM systems and standard business tools

· Polished communication and presentation skills

Pay range and compensation package

• Base salary: Competitive and commensurate with experience in B2B sales and/or inventory-related roles in building materials or similar industries; may be structured appropriately for full-time or part-time employment. Full-time salary range: $60,000 - $80,000 + commission.
• Commission: Sales Commission in addition to base salary.

Lunada Bay Tile is an Equal Opportunity Employer committed to building a diverse workforce. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other legally protected status.

MEP Electrical Engineer and Senior MEP Electrical Engineer

New York City, NY or San Francisco, CA

Permanent, Full Time

HC Solutions Group is partnering with a nationally recognized MEP consulting engineering firm with offices in New York City and San Francisco to identify an Electrical Engineer, and a Senior Electrical Engineer to join their growing team (position can office from either location). This client is a design driven firm known for delivering high performance, sustainable, and architecturally significant projects across diverse building types.

Both roles offer the opportunity to work on complex, innovative building systems from schematic design through construction administration in a collaborative, principal led environment.

About the Role

The MEP Electrical Engineer and Senior MEP Electrical Engineer will be responsible for the design, documentation, and coordination of electrical building systems for commercial, institutional, and mixed use projects. These professionals will collaborate closely with architects, owners, and multidisciplinary MEP teams to deliver technically sound and constructible solutions.

The Senior MEP Electrical Engineer will take on expanded technical leadership, detailed system design responsibility, and mentorship of junior staff.

Key Responsibilities

Responsibilities for both roles include:

• Conceptualize electrical systems and communicate design strategies to clients and stakeholders

• Develop high quality construction documents and technical specifications

• Perform engineering calculations including load analysis, short circuit studies, voltage drop, feeder sizing, generator sizing, and lighting power density

• Design emergency power systems and prepare associated documentation

• Prepare building assessments and due diligence reports outlining existing conditions and system recommendations

• Participate in construction administration including field observations, contractor coordination, submittal review, RFIs, punch lists, and cost review

• Coordinate with internal MEP disciplines and external consultants

• Build and maintain strong client relationships

Additional responsibilities for the Senior MEP Electrical Engineer:

• Prepare detailed power one line diagrams, grounding diagrams, fire alarm layouts, lighting control systems, and complex distribution systems

• Lead project teams and manage electrical scope across multiple phases

• Mentor and develop junior engineers and designers

• Serve as a technical resource for complex code interpretation and system design decisions

Qualifications

MEP Electrical Engineer

• Bachelor's Degree in Electrical Engineering or Architectural Engineering

• Minimum 3+ years of experience in MEP building design

• Experience across multiple project phases from schematic design through construction administration

• Proficiency in Revit, AutoCAD, and Microsoft Office

• Strong knowledge of NEC, NFPA codes, and applicable building codes

• Experience with engineering calculations and energy compliance documentation

• LEED Accreditation preferred

Senior MEP Electrical Engineer

• Bachelor's Degree in Electrical Engineering or Architectural Engineering

• 6 to 10 years of experience in the MEP buildings industry

• Licensed Professional Engineer preferred or required depending on project responsibility

• Demonstrated experience leading electrical system design for complex projects

• Advanced knowledge of NEC, NFPA, and applicable state and local codes

• Strong construction administration experience including submittal review and field coordination

All candidates must be legally authorized to work in the United States without current or future sponsorship.

Key Competencies

• Experience with diverse building types including commercial, institutional, and high performance facilities

• Strong verbal and written communication skills

• Desire to grow into or continue in project management leadership roles

• Creative problem solving and analytical thinking

• Commitment to sustainable and high performance building design

Why Consider This Opportunity

• Offices in both New York City and San Francisco

• Work on architecturally significant and sustainable projects

• Collaborative, principal involved leadership structure

• Strong technical mentorship and professional development

• Exposure to high profile clients and complex design challenges

If you are an MEP Electrical Engineer or Senior MEP Electrical Engineer seeking an opportunity in New York City or San Francisco with a top tier consulting engineering firm, we would welcome the opportunity to speak with you.

Apply today to learn more about these openings!

Eximietas Design is a leading technology consulting and solutions development firm specialising in the VLSI, Cloud Computing, Cyber Security, and AI/ML domains. Our success is anchored in the unparalleled expertise of our engineering leadership team, whose collective experience spans renowned tech giants. With a commitment to innovation and excellence, we deliver cutting-edge solutions that empower businesses to thrive in the ever-evolving digital landscape.

Location: Bay Area, CA

Employment Type: Full-Time

Minimum Qualifications:

● Bachelor’s degree in computer science or electrical/Electronics Engineering

● Over 10 years of experience in Design Verification

● Strong understanding of design concepts and ASIC verification flow

● Proven experience in IP, Subsystem, and SoC verification

● Hands-on expertise with high-speed protocols and their controllers (PCIe/USB/DDR/ Ethernet/MIPI/UFS)

● Proficient in System Verilog and UVM coding

● Solid understanding of RAL (Register Abstraction Layer)

● Practical experience integrating third-party VIPs

● Excellent problem-solving, analytical, and debugging skills

● Mandatory exposure to at least one of the following: GLS, UPF, Performance Verification, Meta stability simulation, Boot-up (C–SV/UVM) handshakes and C testcase development

● Demonstrated capability in Subsystem testbench development and SoC-level verification

● Strong knowledge of AMBA protocols including AXI, APB, and AHB

● Hands-on experience with revision control systems such as Git, SVN, or Perforce

● Experience in a team lead role with responsibilities in guiding, mentoring, and ensuring effective collaboration across teams

As a Lead verification engineer candidate will be responsible to work at IP, Subsystem or

SoC verification-related tasks.

Responsibilities:

● Develop testbench components (Driver, Monitor, Scoreboard) from scratch or enhance an existing testbench for a given IP, Subsystem, or SOC.

● Understand design specifications and implementation to define the verification strategy.

● Create testbench micro-architecture, test plan, and coverage plan documents.

● Define the verification scope, develop test plans and tests, and establish the verification infrastructure to ensure design correctness.

● Implement System Verilog assertions and functional coverage.

● Analysed code coverage and address missing scenarios to meet coverage goals.

● Work with other verification team members to develop, execute, and analyse verification test cases and sequences, providing relevant solutions to issues.

● Collaborate with architects, designers, and pre- and post-silicon verification teams to meet deadlines.

● Coordinate with customer leads, ensuring all deliverables and timelines are met.

● Serve as the project's point of contact, responsible for verification signoff.

Apply/Refer -

Title - Senior Mechanical Design Engineer

Location – Oakland CA

Duration – Fulltime

Key Responsibilities:

• As a Senior Mechanical Design Engineer (MEP) at Interface, you will be taking ownership as a discipline lead on multiple projects. Your duties will include (but may not be limited to):
• HVAC system selection, engineering & design.
• Preparation of HVAC drawings, analysis, specifications, and calculations.
• Demonstrate excellent communication skills.
• Provide oversight of HVAC support staff.
• Provide construction administration & site observations related to your projects.
• Provide exemplary service to team members and clients.

Required:

• BS/Mechanical Engineering, or equivalent experience.
• 7+ years' MEP/AEC design and consulting experience.
• Advanced knowledge of HVAC systems in public safety, educational, and commercial sectors.
• Knowledge of industry codes and standards
• Demonstrated interaction with clients in meetings or presentations

Preferred:

• A Professional Engineering License
• LEED Accreditation
• Working IES-VE knowledge

What You'll Love

• Employee Ownership: Build equity through our Employee Stock Ownership Plan (ESOP)
• Robust Benefits: 401(k), medical/dental/vision, life & disability insurance, transportation benefits...and more!
• Generous Time Off: PTO, paid holidays, and company closure to clients from Christmas to New Year's
• Purpose-Driven Culture: Paid volunteer time and a commitment to social equity
• Career Development: Work alongside industry leaders and access continuous learning opportunities

Company:

We are a leading heavy civil contractor recognized for delivering complex transportation, bridge, and infrastructure projects across the United States. We are committed to innovation, technical excellence, teamwork, and safety in every aspect of our work.

We are seeking a highly motivated Project Engineer to join our team on a landmark multi-year initiative focused on enhancing the bridge’s structural resilience while preserving its historic integrity.

Position Overview:

The Project Engineer will support daily engineering, coordination, and management activities for the seismic retrofit scope of work. This role involves close collaboration with construction teams, subcontractors, designers, and project stakeholders to ensure successful and safe execution of all project phases. The ideal candidate has strong technical competence, exceptional communication skills, and the ability to thrive in a high-profile, fast-paced environment.

Key Responsibilities:

Engineering & Technical Support

• Assist with interpretation of contract documents, specifications, drawings, and engineering reports.

• Prepare and review engineering calculations, construction methodologies, and temporary works designs.

• Support seismic retrofit activities including steel reinforcement, anchorage systems, structural modifications, and specialty access/rigging needs.

• Contribute to value engineering initiatives and constructability reviews.

Project Coordination & Documentation

• Develop and maintain submittals, RFIs, design clarifications, as-built drawings, and technical logs.

• Coordinate closely with the design team, project managers, superintendents, inspectors, and owner representatives.

• Track material procurement, production rates, and schedule impacts.

• Assist in preparing progress reports, meeting minutes, and documentation required by the Owner.

Field Support

• Provide daily field engineering support to construction crews, ensuring work complies with plans, specs, and safety requirements.

• Monitor installation quality, survey/layout, tolerances, and inspections for seismic retrofit components.

• Support resolution of field issues through collaboration with designers and specialty subcontractors.

Safety & Compliance

• Uphold company safety culture and ensure compliance with OSHA, Cal/OSHA, and project safety requirements.

• Participate in hazard analysis, risk mitigation planning, and safety audits.

• Ensure quality control procedures are followed for all seismic retrofit activities.

Qualifications:

• Bachelor’s degree in Civil Engineering, Structural Engineering, Construction Management, or related field.

• 2–5+ years of experience in heavy civil, bridge, infrastructure, or structural construction projects.

• Strong understanding of structural systems, steel and concrete construction, and seismic retrofit principles.

• Proficiency with engineering and construction software (AutoCAD, Bluebeam, MS Office; P6 a plus).

• Excellent analytical, organizational, and communication skills.

• Ability to work in challenging field conditions, including heights, marine environments, and active jobsite constraints.

Who We Are:

17A is a new type of management consulting firm. We come from places like McKinsey, Palantir, JP Morgan Philanthropies, and venture-backed Healthcare startups. We share a common goal: improving the quality of government and social services. 17A believes that trust in government is something to be continuously built and earned, through strong service delivery.

We have a dynamic core team, and partner with Consultants, known internally as Project-Based Team Members, to bring the best combination of expertise to what we do. Our team has varied skills from a range of industries and experiences, including management consulting, technology and analytics, and public service. If you've spent the early part of your career in consulting or a fast-paced analytical environment and you're ready to apply those skills to something with direct civic impact, 17A is for you.

The Opportunity:

17A is supporting a large Bay Area county agency on a technology and digital services transformation effort. This is a fully embedded, on-site role — not parachuting in. You'll work inside the agency's digital innovation team, sitting alongside Deputy-level leadership to help the county deliver on its mission to make government more human, more responsive, and more digital. This position is a contract role with the potential to convert to full-time after a few months.

This agency has taken a distinctive approach to transformation: rather than buying expensive new systems and hoping for the best, it's doing the hard, human-centered work of dismantling bureaucracy, redesigning how services are delivered, and building a digital culture from the inside. A core initiative — which brings departments through rapid, structured sprints to identify and address service delivery friction — will be a major focus of this role.

This is a chief-of-staff style position for a sharp, early-career operator ready to take on real ownership. You'll help senior leaders turn strategy into action — managing complex initiatives across departments, facilitating working sessions, and communicating progress clearly to executive and operational audiences.

What You'll Do

• Serve in a chief-of-staff capacity to Deputy-level leaders within the innovation team, helping translate priorities into structured plans and concrete next steps
• Support coordination and execution of digital transformation sprints, including logistics, stakeholder engagement, documentation, and follow-through on recommendations
• Facilitate working sessions with department staff and senior leaders to map current-state processes, identify friction points, and co-design improvements
• Lead and coordinate cross-functional workstreams, tracking progress, surfacing blockers, and keeping stakeholders aligned across a large, multi-department organization
• Prepare executive-level communications including briefings, memos, presentations, and decision documents for senior agency leadership
• Conduct rapid research and analysis to support emerging decisions and evolving priorities
• Help build the internal documentation, playbooks, and operational systems the innovation team needs to scale its impact countywide
• Operate as a collaborative, low-ego team member who is genuinely embedded in the agency's culture and mission

Who You Are

You're 1–2 years into your career and you're looking for a role where you can do meaningful work and see the results directly. You might be a current or former:

• Business Analyst or Associate at a management consulting firm
• Fellow or analyst at a public sector-focused organization (e.g., a government innovation lab, a civic tech organization, or a public agency)
• Analyst in a fast-paced, mission-driven environment where you built strong project management and communication muscles

The Skillset:

You'll thrive in this role if you:

• Are energized by the mission — you genuinely care about improving how government works and the people it serves
• Are comfortable operating with ambiguity and building structure where there isn't any yet
• Have strong project management instincts and can keep multiple workstreams moving simultaneously
• Can communicate clearly and credibly with both frontline staff and senior leaders
• Understand that real transformation requires engineering culture, not just deploying technology
• Are ready to be embedded — not just advisory — and want to see the direct impact of your work
• Are based in or willing to relocate to the Bay Area

Bonus if you have:

• Familiarity with local or county government operations
• Experience with digital services, human-centered design, or service delivery improvement
• Prior exposure to process redesign, organizational change, or operational improvement
• Interest in civic technology and the future of public service delivery

Location:

This position is based out of San Francisco, California and you must reside within the area. If you are interested in remote-only opportunities, please consider joining our Network for future roles.

Compensation:

Due to the nature of our business and the clients that we partner with, compensation for this position (and all of our opportunities) depends on the skillset, tenure, and experience that you possess. This specific position has a range of 90,000- 110,000 annually. Depending on the type of work you do with us, you may be eligible to receive medical benefits and other perks.

Accommodation Statement:

Improving public service delivery requires a team with diverse backgrounds and perspectives. We are an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind based race, color, creed, religion, national origin, sex, gender identity, sexual orientation, disability, age, marital status, familial status, pregnancy or pregnancy-related conditions, domestic violence victim status, prior arrest or conviction record, military status, predisposing genetic characteristics, membership or activity in a local human rights commission, or status with regard to public assistance.

We encourage and welcome applicants who identify with groups traditionally underrepresented in government to apply.

Please contact , if you would like to request reasonable accommodation during the application or interview process.

Not interested in this specific opportunity but want to make an impact with the work you do? Join our Network for future consulting opportunities within the public service sector!

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
  

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