202 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Delft University of Technology (TU Delft) in Netherlands
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energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers
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to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is
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Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed
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work internationally, and participate in TU Delft’s extensive training programme. The position is embedded within the globally recognized Department of Hydraulic Engineering (HE) at TU Delft, renowned
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of scientific publishing. Experience with mechanical testing and/or numerical modelling (e.g., Abaqus) is a bonus. You can independently plan, execute and communicate your research effectively. You
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scientific programming and an excellent command of English. Advantages (but not required) Background in systems and control. For example, familiarity with stability analysis, state-space methods, jump-flow
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implementation and application. Basic knowledge and a keen interest in physical problems (especially inverse problems) and scientific applications. Strong programming skills (preferably Python). Ability to work
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energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers
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green and circular steel production. You will collaborate closely with researchers from the broader research programme, including experimental teams and key partners such as Leibniz-Institut Für
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, or (applied) physics. Excellent lab-experiences Advanced mathematical, analytical skills, and programming skills, e.g., in Python. A keen interest in interdisciplinary research. An excellent command of English