The successful candidate will work on methods for the numerical simulation and topology optimization of electric machines in a transient setting considering the interaction of electromagnetic, thermal and mechanical fields using the topological derivative concept
MSc degree in applied mathematics Strong background in computational methods for partial differential equations, analysis, numerical analysis, scientific computing and optimization with partial differential equations
Job ID: RICAM131DOC222 The Johann Radon Institute for Computational and Applied Mathematics ( RICAM ) of the Austrian Academy of Sciences ( OeAW ), Austriaâs leading non - university research and science institution in Applied Mathematics, focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the glo be collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization. RICAM has proven to stand for excellence in research, as can be seen from a high level of publications and the popularity of the Institute's Special Semesters within the academic community. The working groups at RICAM provide a broad field of expertise over a whol e range of different subjects, and together they create an exciting atmosphere to carry out research in applied mathematics. The institute is offering a P H D S TUDENT P OSITION ( F * M ) (part - time, 30h per week) in the research group âComputational Methods for Partial Differential Equationsâ. The position is offered for an initial period of one year (with possible extension until February 2026), starting on November 15, 2022. The position is funded by the FWF Special Research Programm e (SFB) F90 âComputational Electric Machine Laboratoryâ in the sub - project F9008 âTopology Optimisation of Electric Machines under Electro - Thermal Couplingâ led by Dr. Peter Gangl. The successful candidate will work on methods for the numerical simulatio n and topology optimization of electric machines in a transient setting considering the interaction of electromagnetic, thermal and mechanical fields using the topological derivative concept. Your profile: â MSc degree in applied mathematics. â Strong backgr ound in computational methods for partial differential equations, analysis, numerical analysis, scientific computing and optimization with partial differential equations. â A keen interest and basic knowledge in electrical engineering. â Familiarity or experie nce with Python. â Excellent knowledge of English language. Our offer: â Excellent opportunities to work in a lively research environment and collaborate with international experts in the fields related to the project. â Possibility to work in an interdisciplinary consortium of leading scientists in the context of electric machin es at TU Graz, TU Darmstadt and JKU Linz. â An annual gross salary of â¬ 3 2 .297,58 , according to the collective agreement of the Austrian Academy of Sciences. We invite you to send your application with a scientific CV, a short research statement, and references for possible recommendation letters via email to firstname.lastname@example.org , (mentioning Job ID: RICAM131DOC222) no later than October 8 th , 2022 . The Austrian Academy of Sciences (OeAW) pursues a non - discriminatory employment policy and values equal opportunities, as well as diversity. Individuals from underrepresented groups are particularly encouraged to apply
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