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HMS - Postdoctoral Fellow in Zitnik Lab

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Cambridge, Massachusetts

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HMS - Postdoctoral Fellow in Zitnik Lab

Position Description:

We invite applicants for a postdoctoral fellow position in the Zitnik lab at Harvard Medical School in Boston Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science.

The selected candidates will lead research in generative, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply these methods to address challenges in scientific discovery and precision medicine.

We seek highly-motivated applicants with background in one or more of the following areas: agentic AI, geometric deep learning, large-scale knowledge graphs, large language models, multimodal learning, and generative AI. Successful applicants will be strong technically as well as have an inclination towards real-world problems. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals.

Salary and Benefits

This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.

With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.

Basic Qualifications:

  • Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field.
  • Excellent programming skills and practical experience with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required.

Additional Qualifications:

Experience in applications of AI to biology and medicine is a strong plus.

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