PhD Position in CFD and Optimal Design

Job content

Your mission :

• Develop an optimization framework based on the lagrangian numerical method SPH by deriving and implementing an adjoint version of the ANDRITZ in-house SPH software
• Use the optimization framework for improving design of Pelton hydraulic turbines

Your profile :

• Excellent Master’degree in mechanical engineering, Industrial/Applied Mathematics or Scientific Computing
• Applicants have to adhere to the eligibility requirements of the European Union Marie Sklodowska-Curie Doctorat Network regulations. In particular, candidates must not have been employed in Switzerland for more than 12 months during the immediate 36 months before the recruitment date and must not possess a doctorat degree at the day of recruitment
• Clear focus on Computational Fluid Dynamics using SPH method and fluid dynamic optimization approaches. Experience in industrial CFD is an asset
• Background and knowledge of High-Performance Computing methods, sound background in physics of fluids, proven background in different programming paradigms
• Excellent communication as well as proven language capabilities and team working skills. Applicants must be able to communicate fluently in English, in oral and written form
• Experience in the use of HPC-systems , coding competencies in C/C++/CUDA.