Simons Postdoc in the Physics of Learning and Neural Computation Syracuse University in United States

Postdoctoral Research Associate in theoretical physics and artificial intelligence at Northeastern University This postdoctoral opening is for high-level theoretical research at the interface of theoretical physics , high energy theory , machine learning , and artificial intelligence . The successful candidate will work primarily with Jim Halverson and Fabian Ruehle and will become a Junior Investigator at the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI). The...

Nina Miolane is recruiting PhD students for Fall 2027 to join the UCSB Geometric Intelligence Lab at the University of California, Santa Barbara. The lab investigates the mathematical laws of intelligence in brains and machines. Its research is highly interdisciplinary, combining artificial intelligence, computer science, mathematics, neuroscience, statistics, and physics. Students will explore how neural networks learn to solve tasks using geometric methods, topology, and group theory. The rese...

🚨 Turing is urgently hiring STEM experts for AI training , with openings relevant to Master’s, Ph.D., and postdoctoral researchers/students. The work is a fully remote , flexible contractor role focused on solving challenging STEM problems and helping fine-tune and evaluate frontier AI models . The post specifically highlights expertise in Physics, Mathematics, Biology, and Chemistry , and frames the work as contributing to improved LLM reasoning . This is not a scholarship or academic supervisi...

Multiple fully funded PhD positions are available in Earth-Space AI Research (ESAIR) led by Azim Ahmadzadeh , Assistant Professor of Computer Science at the University of Missouri–St. Louis . The research focus appears to be at the intersection of Computer Science , Artificial Intelligence , Machine Learning , Space Weather , and broader Earth-Space research. This is a strong fit for students interested in AI-driven scientific research, space-related data analysis, and computational methods for ...

This fellowship at the U.S. Food and Drug Administration’s Center for Devices and Radiological Health places participants in a regulatory science research environment focused on artificial intelligence and machine learning for medical devices. The project addresses the safety and effectiveness of AI/ML-enabled devices across healthcare uses such as image processing, disease detection, diagnosis, and therapeutic monitoring. Working under FDA mentorship, the fellow will engage with research challe...