Tech stack
Artificial Intelligence
Game Theory
Machine Learning
Large Language Models
Information Technology
Job description
Professor Milind Tambe's Teamcore group has focused on "AI for social good" for the past decade, covering topics such as, but not limited to: (i) AI for conservation (e.g., for protection of endangered wildlife, forests, fisheries); (ii) AI for public safety and security; (iii) AI for public health. Their research focuses on fundamental research problems in generative AI approaches using LLM agents and diffusion models to scale up AI for social impact projects, as well as in multiagent systems, including computational game theory, security games, machine learning in multiagent settings, automated planning under uncertainty, social networks and others that are driven by these topics, ensuring a virtuous cycle of research and real-world applications.
Requirements
Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.
Benefits & conditions
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required 3
Maximum Number of References Allowed 5
Keywords
About the company
The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI projects with societal impact. We are currently working on projects related to public health, equity and fairness, and wildlife conservation. We seek researchers who are enthusiastic about interacting with computer scientists and colleagues from other disciplines and who have a demonstrated interest in connecting their research agenda with societal issues., Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.