Research Assistant Prof. in Artificial Intellig...

3 days ago


El Paso, United States The University of Texas at El Paso Full time

Job Description: The Department of Industrial, Manufacturing & Systems Engineering (IMSE) at The University of Texas at El Paso (UTEP) invites applications for two non-tenure-track Research Assistant Professors in AI for Semiconductor Manufacturing and/or AI Robotics. Focus areas include: yield/defect causal analysis and XAI; process-variation monitoring and root-cause analysis; intelligent scheduling/dispatching for WIP/throughput (multi-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration (., conformal prediction, risk-aware decisions); and robotics for fabs?AMR planning/tasking, robotic vision & multimodal perception, wafer/FOUP/tool handling, and RL/Sim2Real. The successful candidate will join a growing and dynamic department, contributing to research and service in alignment with UTEP's mission as an R1 institution and a Hispanic-serving university. Responsibilities: Research: Lead and collaborate on topics in yield and defect causal analysis, intelligent scheduling & multi-objective optimization (real-time dispatching under dynamic constraints), Virtual Metrology (VM), predictive maintenance (PdM) & remaining useful life (RUL), digital twins / smart manufacturing, and uncertainty calibration & trustworthy AI (., conformal prediction).AI Robotics in Fabs: Apply perception, planning, and control to cleanroom logistics (AMR/AGV), vision-based inspection, equipment upkeep, and safe human-robot collaboration.Funding & Industry: Co-lead or lead proposals (NSF/DOE/DoD, state, industry); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors.Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype systems (including robotics perception/planning stacks).Mentoring: Supervise MS/PhD students; co-author high-impact publications.Service: Support program development, workshops/symposia, and departmental needs (including ABET support as appropriate). Requirements: A . in Manufacturing Engineering or related fields, including Industrial, Mechanical, Aerospace, Electrical Engineering, and Computer Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong scientific writing skills; ability to draft competitive research proposals. Demonstrated potential for establishing an extramurally funded research program. Excellent communication skills. Preferred Qualifications (one or more): AI Robotics: ROS/ROS2, Python, perception (CV/multimodal), motion/task planning, control & safety, simulation (Gazebo/Isaac Sim), and edge deployment.Semiconductor manufacturing experience (front-/back-end, metrology/inspection, equipment maintenance, yield-improvement projects).Digital twin, IIoT, MLOps, real-time data streaming, edge computing.Causal/XAI, Bayesian methods, reinforcement learning, multi-objective optimization (mathematical programming, heuristics/meta-heuristics).Proven success as PI/co-PI or primary writer on large proposals (., NSF/DOE/DoD/state/industry), and/or prior experience writing/executing Other Country NSTC/MOST grants or similar programs.Experience in course design, supervising students, and leading hands-on projects.



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