Kempner Institute Research Fellow
Company:
Harvard University
Job Location:
Cambridge, Massachusetts
Category:
Computer Science
Type:
Full-Time
School: Faculty of Arts and Sciences
Department/Area: Kempner Institute for the Study of Natural and Artificial Intelligence
Position Description
The Kempner Institute at Harvard University seeks applicants for Kempner Institute Research Fellows who will begin their appointments in September 2025.The Kempner Institute is a community of scholars, who work across boundaries and fields to advance our understanding of intelligence, broadly speaking. Kempner Institute Research Fellows will join a dynamic community to learn, collaborate, and discover. They will seek to fundamentally and radically advance our understanding of Natural and Artificial Intelligence.
We seek candidates with demonstrated ability and creativity who study one or more of the following areas:
- Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence.
- Applications of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. Research may focus on the development of new methodologies or models from an engineering perspective, as well as scientific studies focused on understanding deep learning.
Fellows will be appointed for a term of up to 3 years. They will receive salary and research support, office space, compute resources and engineering support. They will benefit from a wide and deeply engaged community of scientists, as well as access to the breadth of resources and facilities available to members of Harvard University.
For more information about the Kempner Institute Research Fellows program, please visit our website at https://kempnerinstitute.harvard.edu/kempner-institute-research-fellowship/
Basic Qualifications
To be eligible, a candidate must be, at the earliest, in the final year of their Ph.D. training and able to formally complete, defend, and receive their Ph.D. by the time the fellowship starts. Fellows must have received their PhD no earlier than September 1, 2022 and no later than September 1, 2025Special Instructions
Please submit the following items in PDF format no later than 11:59pm EST Tuesday, October 1, 2024:- CV, highlighting any publications and conference abstracts relevant to the mission of the Kempner Institute.
- A list of two to three proposed mentors from current faculty associated with the Kempner Institute or working on machine learning, artificial intelligence, or computational neurobiology at Harvard.
- A research proposal of no more than 3 pages (1500 words, exclusive of references) outlining plans for research to be performed at the Kempner Institute.
- A personal statement of no more than 2 pages (1000 words) which includes a brief description of:
- Your PhD research and past accomplishments.
- How your work fits at the interface of the Kempner Institute research areas.
- How you will interact with the Kempner Institute community.
- References - 3 required
- Please give the emails of three individuals who can describe your work and your potential for future discoveries.
- Referees will be contacted to submit the letters directly to the Kempner Institute.
- The application will not be considered complete until all letters have been received.
- Monday, November 18, 2024 from 9:00am - 12:00pm EST
- Thursday, November 21, 2024 from 9:00am - 12:00pm EST
- Tuesday, December 3, 2024 from 9:00am - 12:00pm EST
- Thursday, December 5, 2024 from 9:00am - 12:00pm EST
Candidates may reapply only once.
Contact Information
Elise PorterContact Email: KempnerInstitute@Harvard.edu
Equal Opportunity Employer
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.Minimum Number of References Required: 3
Maximum Number of References Allowed: 3