Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
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
-
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
-
. Qualifications Required Education Ph.D. in Mechanical Engineering, Applied Mathematics, Theoretical Physics, or a closely related field Preferred Qualifications Demonstrated experience in theoretical and
-
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
-
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
-
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
-
the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as never before. STEM College is a community of exceptional STEM
-
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