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system model new module integration, scenario simulations, and prognostics analyses Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: A
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, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in
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programming languages. Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image
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/Anders Lien 13th October 2026 Languages English English English PhD Research Fellow in remote sensing of the cryosphere Apply for this job See advertisement About the position We invite applications
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projects Demonstratable experience of applying agentic AI and sequence-to-signal deep learning modelling Demonstratable experience generating Nextflow Pipelines Desirable criteria Demonstratable experience
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• PhD degree in STEM. • Proficiency in at least one mainstream deep learning framework (PyTorch or JAX) • Fundamental knowledge of physics, chemistry, and materials science. Research
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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
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. Willingness to support project reporting and milestone reviews. Hard skills Strong programming skills in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience in autonomous navigation
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access to the University's research resources, working under the mentorship and guidance of Associate Professor Courtney Fung, PhD, and Honorary Professor Bates Gill, PhD. The fellowship is structured