Multiple Ph.D. Positions in AI and Machine Learning at Indiana University Bloomington

[Roni Khardon]

The Center for Machine Learning at Indiana University brings together
over 10 faculty working in areas including algorithms, theory,
reinforcement learning, statistical learning, speech and audio
processing, robotics, planning and control, medical image processing,
graphical models, computational neuroscience, computer vision,
case-based reasoning, and deep learning.

Together we have at least 10 PhD positions available for Fall 2022
admission, with some of the topics listed below.

For all areas ideal candidates should have demonstrable strong math and
theory skills and/or excellent programming and system building skills.

For more information including application process, deadlines, contact
emails, etc please see

https://cml.luddy.indiana.edu/prospective-students/


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Roni Khardon
Professor of Computer Science
Indiana University, Bloomington

rkha...@iu.edu
http://homes.sice.indiana.edu/rkhardon/

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PhD positions areas/topics include:

Algorithms for ML: scalable (e.g., parallel, distributed
round/communication-efficient) algorithms for reinforcement learning,
online learning, clustering.

Probabilistic ML: graphical models, efficient inference algorithms,
applications, and computational/statistical learning theory.

AI: probabilistic planning, unsupervised learning, memory augmentation,
reinforcement learning, and the connections between planning and
probabilistic inference.

Robotics: planning, decision-making, and learning methods for autonomous
robotic systems, and coordination approaches for distributed multi-robot
or swarm systems.

Computer Vision: object and action recognition, 3D reconstruction,
egocentric computer vision, deep learning, and graphical model inference.

ML and DL for speech/music/audio processing: speech enhancement, source
separation, privacy and security for speech/audio applications,
speech/audio coding, music information retrieval and music signal
processing.