Postdoctoral Positions now Available for 2022
The NSF AI Institute for the Foundations of Machine Learning (IFML), and the NSF TRIPODS program at the University of Texas seek highly qualified candidates (within five years of the award of their PhD) for a new UT ML Research Fellow Program. Appointments will begin Summer or Fall 2022.
This multi-year program will host several postdoctoral researchers working on either:
(a) foundational problems in machine learning, optimization, and statistics and their relationship to algorithmic and methodological improvements for training and deploying ML models or
(b) problems that advance the state of the art in central use-cases of large scale ML: video, imaging, and navigation or some combination of the above topics or
(c) deep learning and computational biology including applications of large-scale tools such as Alphafold.
Descriptions of the scientific agendas of IFML and TRIPODS can be found at ifml.institute and ml.utexas.edu/tripods respectively.
Fellows will be able to collaborate with numerous researchers and faculty involved in IFML partner institutions: the Machine Learning Lab at UT Austin, the University of Washington, Microsoft Research (Redmond), and Wichita State University. Fellows will play a leading role in organizing seminars, workshops and other research activities. The anticipated term for a fellowship is one or two years – to be decided at the time of appointment, with the possibility of extension based on mutual agreement. In addition to competitive salary and benefits, the fellowship also includes funding for independent travel to workshops, conferences and other universities and research labs.
Simultaneous applications for a joint Simons-UT ML Research Fellowship are possible! Please indicate a simultaneous application in your materials.
Submission requirements: a CV, research statement, and two reference letters. Applications will be accepted and reviewed on a rolling basis.
Apply here: apply.interfolio.com/98753