Ayesha Siddique

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.