Up to 30% off — ends 7 Aug
ONLY00h00m00s
Up to 30% off — ends 7 Aug
ONLY00h00m00s
Ali Tajer
7 months ago
This position has expired. You can browse more openings on our positions listing pages.
PhD Positions in Machine Learning, Robotics, and Causality at Rensselaer Polytechnic Institute Rensselaer Polytechnic Institute in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
United States
University
Rensselaer Polytechnic Institute

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About this position
Professor Ali Tajer, Associate Dean of Engineering and Professor of ECSE at Rensselaer Polytechnic Institute (RPI), is recruiting multiple PhD students for research in machine learning and its applications to robotics. The research focus includes causality and representation learning, with opportunities for close collaboration with researchers from IBM and Google DeepMind. This is an excellent opportunity for students interested in artificial intelligence, robotics, and advanced machine learning topics.
Applicants should have a strong interest in machine learning, robotics, causality, and representation learning. The ECSE Department at RPI is committed to increasing accessibility and diversity in its graduate programs. As part of this commitment, the department has waived the application fee for its PhD program for students from a selected group of institutions. The list of eligible institutions can be found at the provided link. Students from other institutions may also contact the admissions office to request a fee waiver by emailing [email protected] with the subject 'ECSE Application Fee Waiver'.
To apply, interested candidates should send their CV and transcripts to Professor Tajer at [email protected]. The position offers the chance to work in a collaborative environment with leading industry partners and to contribute to cutting-edge research in machine learning and robotics. No specific funding details are provided in the announcement, but the application fee waiver is highlighted as a benefit. For more information, applicants are encouraged to review the provided links and contact the department as needed.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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