29 programming-"the"-"DAAD"-"IMPRS-ML"-"Humboldt-Stiftung-Foundation"-"Prof" positions at Chalmers University of Technology in Sweden
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Application Deadline 28 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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Recognised Researcher (R2) Country Sweden Application Deadline 29 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Architecture – Marine Technology profile) master’s program and are part of the Nordic Master in Maritime Engineering. The research group consists of senior researchers, post-docs, and doctoral students. During
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publication record Ability to develop systems using programming languages like Python or C/C++ Familiarity with networking and security protocols is a plus You are expected to be somewhat accustomed to teaching
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. Main responsibilities As a doctoral student, you will plan, drive, and carry out the research activities of our project with support from the supervisors and in collaboration with the Environmental and
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competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
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)* Strong background in computational mechanics and numerical methods Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and
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in fluid dynamics, turbulence modeling, CFD, and turbomachinery. Experience with CAD and CFD tools (e.g., Ansys Fluent, CFX, StarCCM+, OpenFOAM). Programming skills (e.g., Python, MATLAB). Knowledge
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characterization (SEM, EDX, etc) Aerosol physics Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary teamwork Fieldwork and particle sampling e.g. on/from vehicles Swedish language skills
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo