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Description: The Institute for Law & AI’s (LawAI) Summer Research Fellowship (US) is a paid summer program that offers law students, professionals, and academics the opportunity to work at the leading edge of AI law and policy. The program is designed to support intellectual and professional development, combining tailored research mentorship with career planning and opportunities to engage with policymakers, researchers, and other leaders in the field.
Our goal is to empower the experts of today and tomorrow, ensuring that advances in artificial intelligence are beneficial and safe for everyone. With this vision in mind, we welcome applicants with diverse skill sets, experience levels, areas of expertise, and degrees of knowledge in AI law and policy.
Eligibility
- We encourage applicants with various skill sets, experience levels, and degrees of knowledge in AI law & policy to apply. While candidates should be prepared to apply their research abilities and legal knowledge to questions in our field, prior experience or expertise in AI-specific research is not required.
- We welcome applicants from all countries interested in applying their skills to US law and policy. Past fellows have included: Graduate law students (e.g., JD or LLM), PhD candidates, and postdoctoral researchers, Professionals transitioning into the fiel, Legal Academics
If you’re not sure about applying because you don’t know if you’re qualified or the right fit, we encourage you to apply anyway — we often find that some of the most promising candidates underrate their fit for programs like this.
- Ability to commit to full-time, remote-based work for at least 8 weeks, beginning on either of the start dates listed above. Note: We will also consider exceptional candidates who can only join part-time but for an extended period. Students whose classes resume during the fellowship may complete it part-time during the semester.
- Ability to attend the in-person week in Washington, D.C., on July 7-11.
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Fields
Tourism
Accounting
Aerospace Engineering
Agricultural Science
Agricultural Science
Anthropology
Archaeology and Ancient History
Architecture and Design
Artificial Intelligence
Arts and Culture
Astrophysics
Banking and Finance
Biochemistry
Biological Sciences
Biology
Biomedical Science
Building Technology
Business and Economics
Chemical Engineering
Chemistry
Civil Engineering
Communication
Computer Engineering
Computer Science
Criminology
Data Science
Dentistry
Earth Sciences
Ecology
Economics
Education
Engineering
Entrepreneurship
Environmental Science
Epidemiology
Food science Technology
Forestry
French
Geographic Information Systems
Geography
Geosciences
Health Science
History
History of Art and Film
Horticulture
Hospitality and Management
Human Kinetics
Human Resources
Humanities
Information Systems
IT
Journalism
Journalism
Law
Library
Library and Information Science
Linguistics
Literature
Machine Learning
Management
Marine Science
Marketing
Material Engineering
Material Science
Mathematics
Mechanical Engineering
Media
Medicine
Microbiology
Modern Languages
Museum Studies
Music
Neurobiology
Neuroscience
Nursing
Nutrition
Office Technology Management
Peace and Conflict
Pharmaceutical Science
Philosophy
Physics
Physiology
Plant Science
Political Science
Politics and International Relations
Psychiatry
Psychology
Public Health
Public Policy
Real Estate
Science
Social Science
Social Welfare
Social work
Sociology
Software Engineering
Soil Science
Space Science
Special Education
Sport Science
Supply Chain
Sustainable Development
Theology
Transportation Science
Urban Planning
Wild-life management
Zoology
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Qualifications
Assistant / Associate Professor
Faculty
Lecturer / Senior Lecturer
Management / Leadership
Master
PhD
Postdoc
Research Assistance
Research Associate
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