Funded PhD Position in Explainable AI Guided Hardware Acceleration and Sustainable Computing University of Maine in United States

One funded PhD position is available in the Next-Generation Dependable and Sustainable Computing Technologies (GENIUS) Laboratory in the ECE Department at the University of Maine, USA, under the supervision of Prof. Ayesha Siddique.

The project is connected to ongoing research on Explainable AI guided hardware acceleration, including the paper ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing. The opportunity is especially relevant for students interested in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, Large Language Models, Reinforcement Learning, Approximate Computing, Optimization, and related computing systems topics.

Funding includes RA/TA support, a full tuition waiver, and health insurance benefits. The post notes that students already in the US will be given first priority.

Applicants should have strong academic results in a B.Sc. or M.Sc. with a computer science/engineering background. Required skills include AI/ML knowledge and strong programming ability in C/C++ and Python. Experience in LLMs and reinforcement learning is especially valued, and familiarity with graph theory, dynamic programming, machine learning, and optimization techniques is a plus.

To apply, email [email protected] with the subject line About the Ph.D. Position in AI/ML. Include a short statement describing your interest in the research topic and how you meet the requirements, plus your CV and publication list if available.

The post mentions availability for Spring/Fall, but no exact deadline is provided.