PhD Opening in Trustworthy AI and Intelligent Systems Stevens Institute of Technology in United States

Dr. Shisher is recruiting highly motivated PhD students for Graduate Research Assistantships in the Department of Electrical and Computer Engineering at the University of Colorado at Colorado Springs. The research group works at the intersection of wireless communication networks, information theory, optimization/control, and machine learning. This is a strong fit for applicants interested in communication systems, networked optimization, and data-driven methods for engineering research. Funding...

Washington State University is advertising a PhD position in the Safe and Intelligent Autonomous Systems Laboratory (SIAS Lab) with Prof. Mehdi Hosseinzadeh . The research sits at the intersection of control theory , optimization , robotics , autonomous systems , and learning-based control . The lab’s broader research agenda focuses on the safety, resilience, and long-term autonomy of autonomous cyber-physical systems. Application areas mentioned on the lab page include autonomous robots and veh...

PhD opportunity in Machine Learning, Statistics, and Trustworthy AI at UCLouvain (LIDAM / ISBA), Belgium, under Prof. Olivier Caelen . The project focuses on developing differentiable calibration losses for multi-class models to improve the reliability of neural network probabilities, going beyond standard post-hoc calibration approaches. This is a strong fit for candidates interested in deep learning , statistics , trustworthy AI , and probabilistic model calibration. Eligibility highlights inc...

Claus Danielson, Assistant Professor at The University of New Mexico , is recruiting a PhD student to join his research group. The group works on the mathematical foundations for safe and reliable autonomous systems , with research at the intersection of control theory , dynamical systems , optimization , and machine learning . A major theme is developing rigorous, provable guarantees for learning-enabled systems, including safety, reliability, and performance guarantees for complex decision-mak...

George Washington University, via the NIST Professional Research Experience Program (PREP), is hiring a Post-Doctoral Fellow for AI uncertainty quantification and conformal prediction in Gaithersburg, Maryland at the NIST campus. The project focuses on making black-box AI systems more mathematically honest under shifted or out-of-distribution data. The fellow will build a Python-based numerical testbed for complex sequential decisions, integrate distribution-free statistical theory into deep lea...