Research Fellow in Advanced Mathematical Optimization and AI for Medical Applications

2 weeks ago


New York, New York, United States Memorial Sloan Kettering Cancer Center Full time

Postdoctoral Research Opportunity in Advanced Mathematical Optimization and AI for Medical Physics

Location: Upper East Side, Manhattan, New York

We are pleased to present an opportunity for a Postdoctoral Researcher focused on enhancing the domain of medical physics and radiotherapy for cancer treatment through innovative applications of large-scale optimization and artificial intelligence/machine learning (AI/ML). Our group has established a strong history of developing and clinically applying state-of-the-art optimization techniques and AI algorithms, which have become essential components of our standard patient care practices.

Key Employment Features:

The typical research duration is two years, with an ideal commencement timeframe in the near future.

Subsidized housing options are available.

A competitive salary and comprehensive benefits package are offered.

Required Qualifications:

A PhD in Mathematics, Computer Science, Electrical/Industrial Engineering, Physics, or a closely related discipline, obtained within the last four years.

A robust publication history.

Proficiency in Python programming and a strong commitment to open-source methodologies.

Previous experience in one or more of the following areas, along with a willingness to explore additional fields:

  1. Large-scale optimization techniques (including convex and non-convex optimization algorithms)
  2. Artificial Intelligence and Medical Imaging (including deep learning and/or reinforcement learning)

For inquiries regarding this position, please reach out to the designated contact person.



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