Funded Postdoc position in Machine Learning Theory and Optimization

[raj.a...@gmail.com]

I am looking for a highly motivated Postdoctoral Researcher to join my group at the Department of Computer Science & Automation, Indian Institute of Science (IISc).

About Us: We are a young and growing lab pursuing deep, foundational questions in machine learning theory and optimization. The group is headed by me, Anant Raj. My homepage and Google Scholar profiles are available at the end of this post for those interested.

Research: The research will focus on the theory of machine learning, with topics including:
• Optimization theory (SGD, GD, overparameterized networks)
• Sampling from arbitrary distributions, interacting particle systems, and large-deviation/mean-field methods
• Robustness, generalization, and dynamics of modern ML systems

📍 Location: IISc Bangalore
📅 Start date: Flexible
🕒 Duration: 1–2 years (renewable after 1 year)
If you have a strong background in mathematics, optimization, probability, or theoretical ML, and are excited about deep, foundational problems in modern machine learning, I’d be happy to hear from you.

📧 To apply: Send a CV, research statement, and two representative publications to anan...@iisc.ac.in. Applications are reviewed on a rolling basis.
Please feel free to share with anyone who might be interested!

Required Qualifications:
• Ph.D. in CS, Mathematics, Statistics, EE, or related fields.
• Strong theoretical foundation in optimization, applied probability, or machine learning theory.
• Evidence of strong research capability (publications at top machine learning conferences (ICML, Neurips, COLT, AISTATS, ALT, etc), publications at top journals in the field, preprints, thesis).

My Homepage: https://anantrajml.github.io/
Google Scholar: https://scholar.google.com/citations?hl=en&user=wpdabDgAAAAJ&view_op=list_works&sortby=pubdate