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Kaushik Sinha

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  1. A fully funded PhD position in Machine Learning is available in the Department of Electrical Engineering and Computer Science at Wichita State University as a part of the newly funded NSF AI Institute for Foundations of Machine Learning (IFML: https://ml.utexas.edu/ifml), starting from Fall 2021. Selected candidate will primarily work at the Wichita State University campus under the supervision of Dr. Kaushik Sinha and have the opportunity to collaborate with numerous researchers and faculty members involved in IFML partner institutions: the Machine Learning Lab at University of Texas at Austin, the University of Washington, and Microsoft Research Redmond and work on: Foundational problems in machine learning, optimization, and statistics and their relationship to algorithmic and methodological improvements for training and deploying ML models. The ideal candidate should have a Master’s degree in Computer Science or closely related fields and a very strong Mathematics and Computer Science background with substantial python programming experience. Exceptional candidates with a bachelor’s degree will also be considered. Yearly renewal of funding is contingent upon satisfactory performance. Interested candidates should email Dr. Kaushik Sinha (kaushik.sinha@wichita.edu) with a subject headline “PhD position at IFML” and provide a CV, transcripts (unofficial is fine), GRE, TOEFL (only for international candidates) and one page statement about their interest in the advertised position. Please include the name of at least three references in the CV. For more information, please visit my website: https://kaushik-sinha.github.io
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