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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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computational and experimental postdoctoral fellows, graduate, and undergraduate students, and a software and web engineer. Salary and Benefits This position is salaried and benefits eligible. Information
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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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of academic skills through teaching courses and supervising master/bachelor theses within the department. Where to apply Website https://www.academictransfer.com/en/jobs/358940/phd-candidate-in-mathematical-o
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to project implementation details. Job Requirements PhD degree in engineering (e.g. Mechanical, Clean/Renewable Energy or Building related) or sustainable buildings design. Experience in sustainable design
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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models, (d) computer vision and medical imaging, (e) agentic AI systems, (f) software engineering for high-TRL AI prototypes. Overseeing daily engineering workflows and coordinating technical activities
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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Your Profile - Expected Completed PhD in Materials Science, Polymer Science, Chemical Engineering, Mechanical Engineering (materials focus), or related field Demonstrated laboratory experience in polymer