Master’s Opportunities in Deep Learning in Norway

This six-month Master’s/Engineering internship at the I3S Laboratory of Université Côte d’Azur in Sophia Antipolis, France, focuses on developing world-model approaches for tabular data and radiomics. The project will investigate self-supervised learning architectures, particularly the Joint Embedding Predictive Architecture (JEPA) , for structured data organized in rows and columns. The work will examine how JEPA can be adapted to tabular datasets and will study recent approaches such as T-JEPA...

PepPERMIT is a CDT studentship project at Imperial College London combining experimental peptide science with machine learning to understand how peptides enter living cells. The research will systematically investigate peptide cellular uptake using high-throughput live-cell liquid chromatography–mass spectrometry (LC-MS) and computational analysis. The student will work on laboratory screening of peptides, peptide synthesis and the generation of chemical datasets describing peptide properties an...

This research fellowship at the U.S. Food and Drug Administration’s Center for Devices and Radiological Health (CDRH) focuses on ophthalmic devices and the regulatory science needed to evaluate them more effectively. The project centers on innovative eye-care technologies such as diagnostic retinal imagers, prostheses, lasers, intraocular lenses, and corneal cross-linking approaches, with an emphasis on improving how safety and performance are assessed for emerging devices and materials. Fellows...

Graduate research opportunity for M.S./Ph.D. students in AI/ML for reliable and secure hardware accelerators at Ohio University , School of Electrical Engineering and Computer Science (EECS). The project focuses on AI/ML-based hardware fault detection and classification , deep learning and TinyML for reliable computing, fault injection analysis , inference-aware vulnerability assessment , and secure and resilient FPGA-based AI accelerators . Ideal applicants should have a strong background in ar...

Texas A&M University–Kingsville is advertising 2 funded graduate positions in Artificial Intelligence : 1 PhD student and 1 MS student . The positions are being recruited by Dr. Shaif Chowdhury in the EECS area. The research focus includes artificial intelligence , machine learning , computer vision , deep learning , natural language processing , and underwater imaging . This is a strong fit for students interested in modern AI methods, applied ML, and vision-based research problems. The post st...

Mila’s annual supervision request process is open for MSc and PhD applications for Fall 2027 admission . This opportunity is centered on deep learning , artificial intelligence , and machine learning research within the Mila community in Canada. The post encourages prospective students to apply to join Mila’s research environment and follow the supervision request guidelines. Important note: Yoshua Bengio states that he will not be taking on new students for supervision this cycle, so this is a ...

Sambandh Dhal, Tenure-Track Assistant Professor in the Department of Bioproducts and Biosystems Engineering at the University of Minnesota Twin Cities, is looking for motivated PhD and Master's students to join the SAGE Lab (Sensing, AI & Green Systems Engineering). The lab works at the intersection of artificial intelligence, data science, sensing, and sustainable systems. Research interests include machine learning and deep learning, uncertainty-aware AI and uncertainty quantification, compute...

Research Degree Opportunity at the University of Melbourne in the Department of Surgery, Faculty of Medicine, Dentistry and Health Sciences . This project is titled Generative AI for Gene Therapy: Designing Novel AAV Capsids to Cure Blindness and is focused on developing next-generation adeno-associated virus (AAV) capsids for retinal gene therapy. The research combines generative AI , deep learning , and gene therapy to address major limitations of current AAV delivery systems, including poor t...

AI & Intelligent Communication (AIIC) Lab at Sejong University is advertising fully funded graduate research positions for Indonesian students in M.S., Ph.D., or Joint M.S.-Ph.D. programs. The lab is led by Prof. Sunghwan Kim . Research areas include AI for communications (deep learning for signal processing and network optimization, AI-assisted design of communication systems), next-generation wireless (reliable and efficient 6G with RSMA, NOMA, and reconfigurable intelligent surfaces), and inf...