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, you should have: A Master of Science degree in Mechanical Engineering, Mathematics, Physics, or in relevant fields of fluid/structure dynamics and acoustics. Very good knowledge of English, both spoken
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a genuine interest in research and collaboration. Mandatory: To succeed in this role, you should have: A Master of Science degree in Mechanical Engineering, Mathematics, Physics, or in relevant fields
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Completion or near completion of a PhD in Engineering (mechanical, aerospace, civil, petroleum) or Science (applied physics, applied mathematics) with a strong background in CFD and the finite element method
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computation, with potential links to hydrogen engine research and broader digital twin technologies. You will gain expertise in: Computational modelling of materials (e.g., FEM, crystal plasticity, or phase
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. Qualifications Required Education Ph.D. in Mechanical Engineering, Applied Mathematics, Theoretical Physics, or a closely related field Preferred Qualifications Demonstrated experience in theoretical and
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science, computer science, applied mathematics or a related field a strong background in machine learning, material modeling, and metals processing, modeling and simulation (This will be a clear advantage
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science, computer science, applied mathematics or a related field a strong background in machine learning, material modeling, and metals processing, modeling and simulation (This will be a clear advantage
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have successfully defended a PhD thesis in a relevant discipline (computational mechanics, mechanical/aerospace engineering, simulation technology, applied mathematics, etc.). If you have not received
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subject from a reputable institution. Prospective candidates for this project should have a background in Engineering, Applied Mathematics, or related disciplines. Full details of how to apply can be found