Ph.D. in Algorithms and Machine Learning

Computer Science Department at George Mason University, USA is inviting applications for Computer Science Ph.D. student positions in algorithms for big data, machine learning and other areas of theoretical computer science starting in August 2023. George Mason University is located in Fairfax, VA, a suburb of Washington, DC. GMU is a vibrant college town with world class facilities, versatile food options and affordable housing. We offer competitive salary (~$25,000-30,000/year) and a comprehensive set of benefits. We welcome applicants with experience in science olympiads and competitive programming (IOI, IMO, ACM ICPC, TopCoder, Kaggle, etc.) as several of our faculty have been successful in various olympiads in the past. Zoom interviews will be scheduled with qualified candidates prior to the application deadline. For potential candidates, on campus visits will be sponsored. Please, contact Grigory Yaroslavtsev if you have any questions.

Contact: Grigory Yaroslavtsev, http://grigory.ai
E-mail: grigory@grigory.us

Starting date: August 2023. Application deadline: December 01, 2022 (late applications might also be considered). Application details: https://www2.gmu.edu/admissions-aid/how-apply/graduate.

Important details:

• Bachelors degree suffices at the start of the appointment (Masters is not necessary).
• Application fee ($75) can be waived for qualified candidates.
• GRE is not required this year.
• Please, make sure you start early on your TOEFL/IELTS as availability of test appointments is often limited.

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  Grigory Yaroslavtsev is an Assistant Professor of Computer Science. Previously he was an Assistant Professor of Computer Science at Indiana University and an Adjunct Assistant Professor of Statistics. He was the founding director of the Center for Algorithms and Machine Learning at IU. Previously Grigory held a visiting position at the Alan Turing Institute (London, UK) and postdoctoral fellowships at the Warren Center for Network and Data Sciences at the University of Pennsylvania and at Brown University, ICERM. Grigory received his Ph.D. in theoretical computer science in 2014 from Penn State. He works on foundational questions in scalable algorithms for machine learning, data science and private data release. His work is supported by NSF CRII Award and Facebook Faculty Research Award.