Master’s Opportunities in Machine Learning

This four-year 1+3 MRes/PhD studentship will investigate rainfall-induced slope failure risk across Great Britain's railway infrastructure, in collaboration with Network Rail and the University of Cambridge's Department of Engineering. The research will examine why clusters of embankment and cutting failures occur around the rail network. Using Network Rail's extensive databases on asset condition and performance, the project will analyze the roles of local geology, hydrogeological conditions, n...

This fellowship is based in the Division of Quantitative Methods and Modeling within the FDA’s Center for Drug Evaluation and Research in Silver Spring, Maryland. The group works on regulatory science and quantitative research that supports the development and review of generic drugs, with a strong emphasis on modeling, simulation, data analysis, and data mining for public health decision-making. Participants will join research activities spanning a wide range of modern quantitative approaches f...

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...

The U.S. Army Engineer Research and Development Center’s Environmental Laboratory (EL) is a multidisciplinary research environment focused on environmental science and engineering solutions for the U.S. Army, the Department of Defense, and the nation. This research opportunity sits within the Materials and Surface Science Team (MASS), where the selected participant will work on cross-cutting projects that connect computer science and AI/ML with materials science. Under mentor guidance, the parti...

Fully funded PhD or master's opportunity in food microbiology and safety at North Carolina State University, USA, under the supervision of Dr. Mairui Gao in the Department of Food, Bioprocessing and Nutrition Sciences. The research focuses on foodborne pathogen evolution, microbial risk assessment, and novel biocontrol strategies. Students may use genomics, microbiome analysis, and machine learning to investigate food safety challenges and develop innovative approaches to pathogen control. Appli...

Applications are open for undergraduate, master's, and PhD programs at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, United Arab Emirates. The opportunity focuses on cutting-edge research and study in artificial intelligence , robotics , and related computer science fields at a research-focused university. Applicants from around the world are welcomed. Funding: Fully funded scholarships are available for eligible students. The post does not provide details about ...

AIT Austrian Institute of Technology invites applications for master’s theses in Machine Learning and Artificial Intelligence for Cyber Security at its Center for Digital Safety & Security in Vienna, Austria. The six- to eight-month opportunity is based in the Cyber Security & Communication Technologies Competence Unit and focuses on applied cybersecurity research. Potential topics include log-data analysis for intrusion detection, cyber threat intelligence processing, dynamic provisioning of co...

The Trustworthy AI Lab at The University of Alabama is recruiting multiple fully funded PhD and graduate students to start in Spring 2027. The positions are based in the Department of Computer Science and are focused on artificial intelligence, machine learning, security, and privacy. Students will conduct research at the intersection of trustworthy and secure machine learning, large language models (LLMs), agentic AI systems, and computer vision. The lab offers opportunities to work on real-wor...

PhD and MS openings in Veterinary AI and Informatics at the University of Wisconsin–Madison School of Veterinary Medicine. David Brundage’s lab is recruiting students to work on artificial intelligence for veterinary medicine , including digital pathology , radiology , language models for clinical records , and One Health disease surveillance . The lab emphasizes AI for patients of every species and offers access to dedicated GPUs, large multi-species clinical data, and projects supported by lea...