Engineering Structures Elsevier Jobs in Ca

A premier motorsports industry leader is seeking a skilled Engine Builder / Automotive Mechanic to support the assembly, maintenance, and optimization of high‑performance racing vehicles and hybrid systems. This role involves building and rebuilding client chassis/vehicles, performing detailed inspections, ensuring quality control, and contributing to peak race‑car performance, reliability, and drivability.

You will also support teardown, inspection, precision measurement of components, and assist in mentoring new team members in proper build procedures and best practices.

Key Responsibilities

• Vehicle & Chassis Assembly: Build and rebuild racing chassis, vehicles, and hybrid systems, including sub‑assemblies and final assemblies.
• Quality Control: Perform detailed inspections on components, document findings, and support corrective action planning.
• Teardown & Inspection: Conduct teardown, inspection, and precise measurement of engine and chassis components.
• Final Fitting & Integration: Carry out final fitting of new or rebuilt parts to ensure optimal performance and reliability.
• Training & Mentorship: Train new associates in correct procedures, build methods, and quality standards.
• Performance Support: Assist in identifying and resolving chassis/vehicle faults to improve drivability and race‑ready performance.
• Documentation: Maintain accurate records of inspections, measurements, build notes, and component conditions.

Required Experience (5+ Years)

• High school diploma or equivalent required.
• Hands‑on experience focused on automotive and/or heavy equipment maintenance and repair.
• Training in Automotive Mechanics, Automotive Technology, or a related field—or certification from a post‑secondary vocational program—is a plus.

Skills & Qualifications

• Proven ability to perform complex repairs across a wide range of automotive systems.
• Strong diagnostic capabilities and accuracy in identifying mechanical issues.
• Ability to read and interpret:
• Technical repair manuals
• Circuit diagrams
• Blueprints
• Technical drawings and shop prints
• Mechanical curve charts
• Ability to work from written or verbal instructions—or independently from your own diagnosis.
• Capable of organizing and planning the work of others when needed.
• Strong communication abilities, including reading, writing, and speaking English effectively for technical tasks and teamwork.
• Excellent interpersonal skills, initiative, and sound judgment.
• Physical strength, agility, and endurance appropriate for the position's demands.

Apply now to join a team where engineering excellence and racing performance go hand in hand.

Local to Bay area

1 day onsite @ Oakland office.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and “know what they are talking about.”

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Role and scope

Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled “product managers.”

Not seeking a pure scrum master or a typical external-facing PO who only writes requirements.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and “know what they are talking about.”

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

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.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• 
  
• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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

#LI-REMOTE

#LI-AH2

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:

Join our Pleasanton, CA Team!

Interventional/Structural Cardiologist

Salary Range: $550,000 annual base guarantee (2 years) + Productivity & Performance Incentives + Sign-On + Relocation

Requirements to Apply

• Medical degree (MD or DO), residency, and any applicable fellowship completed at U.S. accredited training programs
• Board Certified or Board Eligible in Cardiovascular Disease
• Fellowship training in Interventional Cardiology
• Active, unrestricted California medical license (or ability to obtain)
• Current DEA registration

Preferred

• Interest in developing Structural Heart services
• Experience in community-based cardiology practice

Interventional Cardiologist Job in Pleasanton, CA – Stanford-Affiliated Community Practice – Structural Heart Growth Opportunity

Job Overview

This full-time Interventional Cardiology opportunity offers the ability to practice in a community-based setting affiliated with a nationally recognized academic health system. The clinical team includes four Interventional Cardiologists, four Non-Invasive Cardiologists, and two Electrophysiologists providing comprehensive cardiovascular care.

The practice is based in Pleasanton with satellite clinics in Castro Valley and Emeryville. Hospital coverage is provided at a local Stanford-affiliated hospital. Call responsibilities are distributed equally among physicians.

Advanced cardiac diagnostic services include echocardiography, cardiac MRI, coronary CTA, nuclear imaging, multi-modality stress testing, arrhythmia monitoring, and vascular imaging. There are opportunities to expand and develop a Structural Heart program. Providers benefit from robust ancillary support staff and collaboration with specialists within and outside the broader academic system.

EPIC EMR is utilized.

What Are the Benefits?

• 2-year base salary guarantee of $550,000
• wRVU-based productivity incentive bonus
• Up to 10% annual performance incentives
• Sign-On Bonus
• Relocation Assistance
• 401(k) Safe Harbor and profit-sharing contributions
• Comprehensive health plans (including $0 premium option)
• Dental, vision, life, and disability coverage
• Full malpractice coverage with prior acts
• PTO including paid holidays and extended sick leave
• CME allowance and paid CME time
• Gym membership and cell phone reimbursement

Where?

Pleasanton, located in the Tri-Valley region of Northern California, offers a high quality of life with top-rated schools, scenic parks, and a vibrant downtown. Situated between San Francisco and Silicon Valley, the area provides suburban comfort with easy access to major metropolitan amenities, fine dining, cultural attractions, and outdoor recreation.

Who Are We?

We are a physician-led, physician-managed multispecialty medical group committed to delivering clinical excellence, innovation, and collaborative care. In partnership with a leading academic medical institution, our mission is to advance precision health and wellness while serving our communities with integrity and compassion.

Open date: June 14, 2025

Most recent review date: Saturday, Jun 28, 2025 at 11:59pm (Pacific Time)

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

Final date: Thursday, Oct 1, 2026 at 11:59pm (Pacific Time)

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

The College of Chemistry at the University of California, Berkeley invites applications for a pool of temporary instructors to assist in teaching graduate courses online for the Master of Molecular Science and Software Engineering (MSSE) Program, should an opening arise. Candidates will support the primary instructors assigned to the courses.

Disciplines where we are seeking lecturers in lieu of GSIs include:

• 
  
• Computational Chemistry
  
• Scientific Computing
  
• Bioinformatics
  
• Machine Learning/Deep Learning
  
• High Performance Computing
  
• Complex mathematical modeling and simulations
  
• Computational Quantum Chemistry
  
• Leadership, management, and entrepreneurship in a computational science company or organization
  

General Duties

Duties include assisting or leading lectures, leading or assisting in labs or discussions, and other activities customarily related to instructional assignments (i.e., grading assignments, submitting/maintaining student records, responding to student questions, tutoring students, holding regular office hours, course material preparation, attending relevant meetings, orientations, etc.).

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

Program:

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

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

A bachelor's degree, or equivalent international degree, and authorization to work in the U.S.

• 
  
• A master's degree, or equivalent international degree, in an area related to computational science, computational chemistry, bioinformatics, data science, high performance computing, mathematical modeling and simulations, or software engineering
  
• Proficiency in C++ and Python programming languages
  

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

  
  

• Cover Letter (Optional)

  
  

• Statement of Teaching (Optional)

  
  

Help contact:

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

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

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

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

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

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

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

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

We are currently seeking a Project Manager to lead and contribute to a diverse portfolio of structural projects. The Project Manager position requires effective leadership and communication skills. Project Managers need to have a varied structural design expertise and comprehension. In addition, have the ability to monitor project progress, and develop project schedules and proposals. You will be involved in production and coordination of several projects concurrently with the responsibility of coordinating and reviewing the details of their projects while developing the engineers and drafting staff. Project Managers are also responsible for building client relationships and networking within the community and bringing in new work for the office.

General Job Duties and Requirements (including but not limited to):

PE (Professional Engineer) Licensed in state of California (minimum)

Create project schedules and communicate deadlines.

Create proposals and budgets.

Verify project budgets and modify as needed.

Participate in monthly invoicing, including worksheet review and invoice preparation for current client’s base.

Manage projects through all phases.

Develop and maintain client relationships.

Attend and participate in weekly manager meetings.

Maintain job scheduling sheets and employee schedules.

Develop and maintain a professional relationships with staff.

Support and/or participate in annual reviews.

Coordinate with field personnel regarding any of your projects that are scheduled for observations/inspections.

Maintain up to date records in job folders (Including but not limited to, design documents, proposal/contracts, extra service documents and relevant correspondence.

Provide structural design for projects.

Involvement with 2 community organizations.

Soft and Personal Skills Required:

Strong written and verbal communication skills.

Have Excellent interpersonal and client-service abilities.

Proven leadership and team-building capability.

High level of professionalism and integrity.

Organizational and time-management skills.

Ability to mentor and motivate others with respect and fairness.

Emotional intelligence and sound judgment under pressure.

Commitment to collaboration and maintaining a positive team environment.

Physical Demands:

The position may require the employee to perform the following physical activities:

Sitting or standing for extended periods.

Using a computer for extended periods.

Lifting and carrying up to 25 pounds.

Using manual dexterity to operate office equipment and handle paperwork.

Reasonable accommodation will be provided for individuals with disabilities in accordance with ADA requirements.

Additional Information:

This position is 100% onsite at our office in Rohnert Park, CA. 5 days/week, 8-hour shifts. (Flexible schedules can be accommodated)

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.

We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.

What you'll do:

• 
  
• Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
  
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
  
• Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
  
• Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  
• 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
  
• 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
  
• Deep knowledge with building distributed systems.
  
• Strong cross-functional collaborator and communicator.
  
• Strong people development skills.
  
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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

#LI-HYBRID

#LI-AH2

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:

• 
  
• 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:

Open date: June 10, 2025

Most recent review date: Wednesday, Jun 25, 2025 at 11:59pm (Pacific Time)

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

Final date: Thursday, Oct 1, 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 Fung Fellowship at the University of California, Berkeley invites applications for a pool of part-time lecturer positions in Design and Technology Innovation should an opening arise. We seek candidates that have experience to teach a 3-unit fall and/or spring course for undergraduates who have been selected for the Fung Fellowship for Technology Innovations, a one-year program that develops leadership, teaming, storytelling, technology innovation, and human centered design. This lecturer pool has been generated in case of need for teaching for two courses: (1) Health + Tech Innovations course and (2) Conservation + Tech Innovations course. The number of positions may vary from semester to semester, depending upon the teaching needs of the School.

Candidates with a background in one or more of the following areas are encouraged to apply: Public Health, Conservation, Sustainability, Innovation, Design, Other health-technology, Human centered design, Student directed learning, Participatory design, Inclusive teaming and leadership, Experiential learning methods.

Teaching Responsibilities: We are seeking outstanding lecturers who can teach a design, project based course for the Fung Fellowship for Technology Innovations at the undergraduate level. The Fung Fellowship brings together students from diverse backgrounds and majors to develop technology solutions to address societal challenges facing our most marginalized populations.

General Duties: Curriculum development and teaching that involves an experiential approach to participatory learning that includes community engagement and innovative problem-solving. In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students, support community and industry partnerships and other opportunities for students, prepare course materials (e.g., syllabus) and maintain the course website with support from the graduate student instructor (GSI).

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

Labor Contract:

Bachelors degree or equivalent international degree required by date of application.

Masters degree or equivalent international degree required by the start date of the job, or industry experience of 5 or more years.

Experience teaching undergraduate-level innovation and design topics. An advanced degree, or equivalent degree, or 6 years work experience in the areas of Public Health, Conservation, Design, Innovation, or other health-technology related fields.

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

  
  

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

  
  

• Teaching Evaluations - Evidence of teaching/course evaluations may be requested of the finalists.
  
  (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