58 parallel-computing-numerical-methods-"Prof" positions at Chalmers University of Technology in Sweden
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efficiency through advanced control methods. We work in close collaboration with industry, research institutes, and other academic groups, often in interdisciplinary constellations. Within the group
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to references will be requested after the interview. We welcome your application no later than July 12th, 2025 For questions, please contact: Associate Prof. Jinhua Sun, jinhua@chalmers.se Prof. Uta Klement (Head
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outside of Sweden, for example a 4-year bachelor's degree is accepted. Strong knowledge of hydrodynamics, CFD, turbulence modelling, and structural mechanics. Understanding of the numerical methods behind
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of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports
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complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 11 May, 2025 For questions please contact: Prof. Leif Eriksson, Geoscience and Remote Sensing
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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. Incomplete applications and applications sent by email will not be considered. Application deadline: June 29th, 2025 For questions please contact: Prof Ingrid Undeland, Email: undeland@chalmers.se, Tel
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applications sent by email will not be considered. Application deadline: June 29th, 2025 For questions about the research project, please contact: Prof Ingrid Undeland, Email: undeland@chalmers.se, Tel
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advancing optical tweezers techniques and developing novel nanoprobe-based sensing methods at the single-particle level. About us The project centers on the development of single-particle approaches
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality