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An established industry player is seeking a postdoctoral fellow specializing in applied probability theory and AI. This exciting role focuses on theoretical machine learning and stochastic optimization, particularly in finance and operations research. As part of a dynamic research group, you will develop innovative numerical methods, guide research projects, and support grant applications. This position offers a unique opportunity to contribute to cutting-edge research while collaborating with talented professionals in a stimulating academic environment. If you are passionate about advancing knowledge in applied mathematics and its applications, this role is perfect for you.
The Division of Mathematical Sciences (MAS) in the School of Physical and Mathematical Sciences (SPMS) is looking for a postdoctoral fellow in applied probability theory and AI. The key objective is to support the efforts of the research group of Associate Professor Ariel Neufeld.
The role will focus on theoretical machine learning and stochastic optimization with applications to finance and operations research.
We regret to inform that only shortlisted candidates will be notified.