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Fully fundedPhDSTEM

Ph.D. Position in Explainable AI Guided Hardware Acceleration

University of Maine, ECE Department, GENIUS Laboratory

Destination
USA
Deadline
No deadline
Levels
PhD
Time left
999 days left
Ph.D. Position in Explainable AI Guided Hardware Acceleration poster

About this scholarship

One fully funded Ph.D. position is available in Spring/Fall at the University of Maine's GENIUS Laboratory under Prof. Ayesha Siddique's supervision, focusing on Explainable AI Guided Hardware Acceleration using approximate computing techniques. Successful candidates will serve as Research or Teaching Assistants and receive a complete tuition waiver plus health insurance benefits. The research project builds on the lab's ongoing work in energy-efficient hardware acceleration of explainable AI, combining expertise in AI/ML, hardware design, and approximate computing. Candidates with strong backgrounds in LLMs, reinforcement learning, graph theory, dynamic programming, and optimization techniques are especially encouraged to apply.

Eligibility

B.Sc/M.Sc. holders with computer science/engineering major; knowledge of AI/ML required; strong programming skills in C/C++ and Python; priority given to candidates with research experience in LLMs and reinforcement learning; students already in the US given first priority

Required Documents

  • Curriculum Vitae
  • Cover Letter describing research interest
  • Publications list
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999 days left

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Quick Summary

Host
University of Maine, ECE Department, GENIUS Laboratory
Country
USA
Funding
Fully funded
Deadline
No deadline
Levels
PhD

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