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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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November 1, 2025, or in according to mutual agreement. The assistant professor position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more
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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling
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Job Description DTU Sustain invites applications for a Postdoc position in “Innovative approaches for controlling indoor environments and building systems”. People spend about 90% of their time indoors (e.g., in buildings, transport, etc.), and therefore the indoor environment has substantial...
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Job Description We are looking for an experienced automation scientist to join the Biofoundry in the Adaptive Laboratory Evolution team. The job You will be responsible for day-to-day operation and management of our laboratory robotics, working within our Biofoundry and providing support as...
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Job Description Would you like to contribute to cutting-edge research on developing the next generation of solid oxide electrolysis cell (SOEC) technology? DTU Energy is looking for 1-2 postdoctoral researchers to join our research activities focused on SOEC cell and stack...
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Job Description We are pioneering true 3D culture of human liver models by high-resolution 3D printing to transform disease modeling and drug development. Join a project combining next-generation 3D printed hydrogel microfluidics and stem cell-derived liver organoids to advance the engineering...
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candidate will have a strong background in physics, geophysics, materials science, computation, engineering, or a related discipline. Documented research experience in one or more of the following areas will
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on the modelling and optimisation of PRO systems using advanced Computational Fluid Dynamics (CFD) and Machine Learning (ML) techniques. This role offers an exciting opportunity to contribute to cutting-edge
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written