Job Title: Postdoctoral Fellow in the Theory of Representation Learning in Artificial and Natural Systems – Harvard University

Date of Postdoc Position Posting:11/11/21

Postdoctoral Position Discipline: Engineering – Computer Engineering

Position Description

The Harvard Theory of Machine Learning invites applications for a postdoctoral fellowships in a multidisciplinary study of the underpinnings of deep learning, and in particular representation learning, transfer learning, generalization, and connections between artificial neural networks and natural learning systems including human and animal brains. We are looking for exceptional junior scientists to work collaboratively with a group of faculty from Computer Science (Boaz Barak), Statistics (Lucas Janson), Electrical Engineering (Demba Ba) and Applied Mathematics (Cengiz Pehlevan) towards a theory of representations in artificial and natural systems. Candidates should suggest at least two of these faculty as potential advisors for their proposed research. The duration of the fellowship will be one year with the possibility of extending for an additional year.

The candidate will be expected to publish scholarly papers, attend internal, domestic, and international conferences and meetings, as well as take on a mentorship role for undergraduate and graduate students.

Required Qualifications

Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date. Candidates should have backgrounds in one or more of the following areas: machine learning, statistics, computational neuroscience, theoretical computer science, applied mathematics, or electrical engineering. We do not expect candidates to know everything about all these areas, but be willing to learn and collaborate with researchers from different areas and backgrounds.

Additional Position Details

  • Opportunity for teaching: Yes
  • Opportunity for supervision/mentoring: Yes
  • Opportunity for community outreach and engagement: Yes

How to Apply:

Required application documents include a cover letter, CV, a statement of research interests, and up to three representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been submitted. Applications should be submitted to

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