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HAI Research Assistant Opportunities

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) is looking for research assistants with excellent analytical and organizational skills and outstanding academic credentials to support HAI. Please note that the position is open to Stanford students ONLY. Applications are reviewed on a rolling basis. Please allow 2-4 weeks processing time after the form is submitted. Please apply with your Stanford email!

Hours: 10-20 hrs/week Salary: $20-25/hr, based on skills and experience. Application Requirement: Submit the application below with resume 

Education & Experience Requirements:

• Stanford student
• Work, research, or internship experience providing both quantitative and qualitative research support, and/or project coordination experience preferred.
• Creative research skills and strong writing skills are essential.
• Knowledge of and keen interest in AI desired.

Core Duties: Support the research and education mission of HAI through special projects which could include :

• Assist with data gathering, cleaning, analyzing using state of the art techniques, and data visualization. 
• Conduct literature reviews, collect and analyze relevant materials from databases, conferences and seminars, government documents, academic journals. 
• Assist with drafting, editing, and proofreading published materials, such as research reports, and data briefs
• Write summary documents; compile abstracts, summaries, and analyses of books and articles.

Digital Economy Lab (DEL)

The Stanford Digital Economy Lab is an interdisciplinary research group that studies how digital technologies are transforming work, organizations, and the economy. The Lab focuses on three core areas of research: AI and the Future of Work, Measuring the Digital Economy, and Digital Platforms and Society. The Lab’s insights help companies, policymakers, students, and professionals rise to the challenges and opportunities created by digitization. The Stanford Digital Economy Lab is an initiative of the Stanford Institute for Human-Centered AI (HAI) and is co-sponsored by the Stanford Institute for Economic Policy Research (SIEPR).

We are looking for students to support our three key areas of work:

• AI and the Future of Work: Understanding the future of the workforce in a rapidly changing global economy. 
• Measuring the Digital Economy: Creating better methods of measuring the health of an increasingly digital economy.
• Digital Platforms and Society: Exploring how digital technologies can transform platforms and social media infrastructure to benefit society

We are looking for students to assist with logistics of data gathering, cleaning, analyzing data using state of the art techniques, and data visualization. Proficiency with R or Python is required.

Center for Research on Foundation Models

The Stanford Center for Research on Foundation Models (CRFM) is an interdisciplinary center at HAI. CRFM advances both the science of foundation models and the responsible deployment of these models in society. Our research spans three broad pillars: (i) technical research (e.g. creating new methods to train better models), (ii) applied research (e.g. building models in high-impact domains like medicine) and (iii) society impact (e.g. informing public policy on foundation models).

We are looking for students across these three pillars. At this moment, we are looking for strong students with engineering/CS expertise to build CRFM infrastructure (e.g. the HELM benchmark for foundation models). In addition, we are looking for students with data science and policy expertise to advance our societal efforts (e.g. maintain the Ecosystem Graphs initiative for documenting the foundation model ecosystem, translating CRFM research into policy and industry standards). CRFM is a large entity with many ongoing research efforts, so we encourage students to apply proactively and specify precise specific interests/strengths, even if they may not relate to the few projects listed above.

HAI Research: AI Index

The AI Index program at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) is looking for research assistants with excellent analytical and organizational skills and outstanding academic credentials to support research and data collection. The research and data collection would assist projects that support the next AI Index report and additional AI Index projects such as the legal AI database, AI regulations database and Global AI Vibrancy Tool. 

About AI Index : The AI Index program at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) tracks, collates, distills, and visualizes data relating to artificial intelligence. Our mission is to provide unbiased, rigorous, and comprehensive data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI.

Job Purpose : Work under the direction of project researchers. Present findings in organized, professional documents.

Core Duties :

• Support the HAI research and AI Index staff, which includes carrying out bibliographical searches of judicial decisions in the United States, finding new information and scholarly publications, summarizing policy documents and other content and analysis.
• Conduct literature reviews, collect and analyze relevant material from legal case databases, conferences and seminars, government documents, academic journals and policy. publications, and reports from a variety of sources, including government agencies, NGOs, etc.
• Assist with drafting, editing, and proofreading published materials, such as research reports, and data briefs.

Education and Experience Requirements :

• Law school students, or junior, senior, Master’s students in political science, international relations, history, or public policy as with additional background in computer science.
• Creative research skills and strong writing skills are essential. Knowledge of and keen interest in AI desired.

HAI Research: HAI Organizational Analytics

HAI manages hundreds of annual programs including, grant-making, educational courses, and research, policy and industry convenings. We interface with faculty from all seven Stanford schools and researchers, industry leaders, and policymakers from across the globe. In order to continuously build upon and improve HAI programming in service of the overall mission, we are looking for students interested in utilizing data science and advanced analytics to inform leadership decisions in a data-driven manner. Core duties include: data gathering, cleaning, analyzing and data visualization. Projects may involve:

• Determining the key research topics within the HAI portfolio and identifying any gaps
• Identifying the content that HAI's audiences are most interested in and better matching content with target audiences
• Conducting market research on new programming and initiative ideas

RAISE Health

Responding to rapid advances in artificial intelligence and the urgent need to define its responsible use in health and medicine. Stanford School of Medicine (SoM) and Stanford Institute for Human-Centered Artificial Intelligence (HAI) share a vision for the future where the benefits of AI across biomedical research, education, and patient care are broadly shared and the risks are mitigated. RAISE Health (Responsible AI for Safe and Equitable Health) seeks to accelerate current work at Stanford focused on responsible healthcare, translate the latest AI technologies into tangible health benefits while considering the critical ethical and safety issues and help others navigate this complex and evolving field. We are looking for students to support our three key areas of work:

• Establishing and maintaining a platform for sharing responsible AI in health and medicine standards, tools, models, data, research and best practices.
• Defining structured frameworks for ethical standards and safeguards
• Convening a diverse group of multidisciplinary innovators, experts and decision makers on the topic

Allow 3-4 weeks processing time after the form is submitted. Contact [email protected] with any questions.

MS | Course & Research Assistant Overview

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The CS Department offers a limited number of Course (CA) and Research (RA) Assistantships.  The CS Department hires 25% CA's and 50% CA's and RA's. Students hired at the 50% level have a enrollment cap of 10 units in order to ensure that students are making expeditious progress toward their degree.

The standard appointment periods and pay dates are: 

• The six Autumn pay dates are on 10/22, 11/7, 11/22, 12/7, 12/20, and 1/7.
• The six Winter pay dates are on 1/22, 2/7, 2/22, 3/7, 3/22, and 4/7.
• The six Spring pay dates are on 4/22, 5/7, 5/22, 6/7, 6/22, and 7/7.
• The four Summer pay dates are on 7/22, 8/7, 8/22, and 9/7.

Course Assistants (CAs)

A Course Assistantship is similar to a Teaching Assistantship. Course Assistantship appointments are made for the full quarter. 

• Autumn quarter.  Applications are accepted from late June through late July. Offers are made in early September.
• Winter quarter.  Applications are accepted from mid-October through late October. Offers are made in early December.
• Spring quarter.  Applications are accepted from early February through mid-February. Offers are made in early March.
• Summer quarter. Applications are accepted from early May through mid-May. Offers are made in early June.

Bettina Santos ( [email protected] ) sends an email announcement to the CS MS and CS PhD mailing lists each quarter when applications go live. If you're a non-CS student who would like to receive only these announcements, sign up for the CA announce mailing list .

• Important Note : Incoming MS CS students are not eligible to apply for CA positions with the CS Department during their first quarter at Stanford. You will be invited to apply for CS CA positions for Winter quarter and beyond.
• Submit an application . Everyone must submit an application in order to be hired. This includes prospective students, current CA's, CA's from previous quarters, and students that have already made arrangements with instructors. 
• Undergraduate students are not eligible to be CA's but do have the option to be paid Section Leaders. More information about section leading can be found on the CS198 website. 
• Hiring priority depends on program and funding . CS PhD students are given first priority, followed by CS MS students that were guaranteed CA funding when admitted, CS MS students, and lastly non-CS students.
• English evaluation . All Permanent Residents and International students are required to receive English proficiency approval before being appointed to a CAship. For more information, please visit the Language Center's website. 
• There is a  separate  process for students wishing to apply for the Additional Calculus for Engineers (ACE) Course Assistant positions.
• Note:  The ACE CA Application review and offer timeline is earlier than the CS Department's CA application timeline.
• To learn more about the ACE Program and how the responsibilities of these specialized CA positions may differ, please visit the ACE website.

Research Assistants (RAs)

Research Assistants work on research projects under the supervision of a faculty member. RA positions are arranged with the individual faculty member.

• Enrollment requirement. RA's must enroll in 8-10 units in Autumn, Winter, and Spring quarters. Exceptions are made for students in their final quarter who need fewer than 8 units to graduate, and who have an approved Part Time Enrollment request on file.
• Summer RA funding & enrollment. Some RA's may receive 90% level support during summer quarters from their advisor. In this instance, the tuition is covered for 3 units and salary offered is higher in exchange of 36 hours of work per week. This is only allowed in summer quarter and is at the discretion of the advisors.

Current CA Guide

If you've accepted a CA position, please refer to our current CA guide and the offer letter you've received from us, as they are the best resources in ensuring you are all set before starting your CAship.

Current RA Guide

If you've accepted a RA position, please refer to our Current RA guide and the offer letter you received from us, as they are the best resources in ensuring you are all set before starting your RAship.

CA/RA Campus Resources

Stanford provides a number of additional resources for all Course, Teaching, and Research Assistants on campus that is not administered by the Department of Computer Sciences.

CAs | Frequently Asked Questions

Research Assistant

🔍 doerr school of sustainability, stanford, california, united states.

To be successful in this position, you will need: 

Education & Experience:

Bachelor's degree in related scientific field.

Knowledge, Skills and Abilities:

• General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
• Demonstrated ability to apply theoretical knowledge of science principals to problem solve work.
• Ability to maintain detailed records of experiments and outcomes.
• General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
• Ability to work under deadlines with general guidance.
• Excellent organizational skills and demonstrated ability to accurately complete detailed work.
• * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

The expected pay range for this position is $25.96 to $36.54 per hour. 

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

How to Apply  We invite you to apply for this position by clicking on the “Apply for Job” button.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching, and clinical missions.

• Schedule: Full-time
• Job Code: 4943
• Employee Status: Fixed-Term
• Requisition ID: 101453
• Work Arrangement : On Site

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Climate Resilience Research Assistant

Dr. Gabrielle Wong-Parodi (Earth System Science and the Woods Institute for the Environment) and Dr. Paul Burow (Postdoc, Earth System Science) are seeking part-time undergraduate students in Earth Systems, or any field in the social sciences or related fields to support the Eastern Sierra Land & Community Survey, a social science research effort that is part of the Pinyon Community Climate Action (PiCCA) Project. The PiCCA project is a community-based research initiative to improve the social-ecological resilience of forests, communities, and landscapes to climate change in California’s Sierra Nevada. This study is a collaboration with researchers at UC Berkeley and Tribal, NGO, and agency partners throughout the Eastern Sierra, and is funded by the University of California Climate Action Research Initiative.

As part of this collaborative effort, Dr. Burow and Dr. Wong-Parodi are leading social science research to understand Eastern Sierra community perspectives around land use, environmental values, priorities for stewardship, and connections to place. The results from this work will be used to inform a community needs and values assessment and policy report, with the goal of expanding Tribal and broader community leadership in land stewardship to help support climate resilient landscapes. 

We are employing the following methods of data collection: 

• Interviews: We have conducted hundreds of interviews with a diverse range of community members, as well as separate policy interviews with federal land managers, Tribal leadership/staff, state agencies, municipal leadership/staff, and county leadership/staff.
• Focus groups: We have conducted more than a dozen focus groups with different affinity groups in the Eastern Sierra, including ranchers, conservationists, and Indigenous community members. 
• Household survey: The team is currently rolling out a regional household survey, with the goal of collecting >1,000 responses throughout the fall to ensure a robust sample size.

We are seeking students excited about climate resilience, land stewardship, and community-based research to work part-time (10-20 hours a week) on our research team. The students will be responsible for interview and focus group data processing, household survey data collection and processing, and other research tasks as needed. 

Successful candidates will have the unique opportunity to work closely with an interdisciplinary team of scholars across Stanford and UC Berkeley, as well as learn from community members across the Eastern Sierra region. The project is expected to last through the academic year.

Pay range: $22.19-$25/hour 

Interested candidates should email the PiCCA project manager, Emma Sage ( [email protected] ) with a resume and cover letter explaining their interest in the position. If your application is a good fit for the project, we will follow up with you to schedule an interview. 

• Processing, editing, and coding interview and focus group transcripts using qualitative data analysis software.
• Assisting with data collection for the household survey through phone-based survey enumeration,texting, and email support for respondents.
• Aiding with other data processing and analysis for publication of results from social scientific studies and policy analysis activities.
• Attending project coordination and team meetings.
• Undergraduate student in earth systems, social sciences, public policy, or closely related field.
• Interest in community-based research, climate resilience, cultural ecosystem services and landscape values. 
• Experience with the design and conduct of social scientific research and/or processing qualitative data. 
• Empathetic, ethical, and culturally-sensitive approach when engaging with diverse community members. 
• Excellent verbal and written communications and interpersonal skills.
• Experience using NVivo, Otter.ai, or other software platforms for qualitative data analysis (preferred). 
• Proficiency in Spanish (not required, but would allow for Spanish language translation).

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