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Phd candidate • großrohrsdorf
Postdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfPostdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulations
Helmholtz-Zentrum Dresden-Rossendorf (HZDR)Dresden-RossendorfWith cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.
The Institute of Fluid Dynamics is conducting basic and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics in order to improve the sustainability, the energy efficiency and the safety of industrial processes.
The Department of Computational Fluid Dynamics is looking for a Postdoc (f / m / d) AI-based consulting system for applied multiphase CFD simulation.
We have developed a comprehensive database of computational fluid dynamics (CFD) simulation cases and are currently creating a performance matrix to evaluate CFD closure models. The over-arching goal is to conserve the experience gained with every CFD simulation. This data-driven approach allows us to apply machine-learning techniques to infer connections between the feature space of our CFD cases, closure models and the performance of their interaction, based on which a recommender system is developed to predict the best model set for new CFD cases.
Your tasks
- Identify, implement, test and ensemble suitable recommender algorithms (collaborative / content-based filtering etc.)
- Strategy to collect and store relevant data for the long-term built-up of a performance database (for the interaction between CFD case and CFD closure model)
- Development of a performance metric characterizing the speed of each model
combination (computed from the runtime statistics on our HPC cluster)
user needs to allow for a flexible usage of the recommender system application
Your profile
Our offer
We look forward to receiving your application documents (including cover letter, CV, diplomas / transcripts, etc.), which you can submit via our online-application-system.
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