vor 5 Tagen
Vollzeit
Teilzeit
Junior
Mid-Level
08.11.24
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Research Assistant (E13 TV-L)baito Pro Job
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Einführung
The position offers an opportunity to conduct research in the field of generative design of hydrogen burners for gas turbines, with a focus on deep learning applications.
Aufgaben
- Conduct independent research into generative learning methods for hydrogen burners in gas turbines
- Perform numerical experiments with deep learning frameworks like PyTorch or TensorFlow
- Evaluate simulation results for physical and statistical suitability
- Write scientific papers on the 'Turbo Transition' project
- Participate in activities of the Turbo consortium and the research network 'Effiziente Energieumwandlung'
- Maintain exchange with the industrial partner Siemens Energy
- Support teaching with 1 semester hour per week
Voraussetzungen
- Successfully completed academic university degree (Master, Diploma or equivalent) in Mathematics
- Programming experience, preferably in Python
- Experience in the application of deep learning, especially generative learning
- Programming experience with deep learning frameworks such as PyTorch or TensorFlow
- Good knowledge of German and/or English; willingness to acquire the respective missing language skills
- Desirable: Ability to work in a team and good communication skills
- Desirable: Knowledge of the theory of machine learning
- Desirable: Knowledge of the theory of generative learning
- Desirable: Knowledge of the application of partial differential equations
vor 5 Tagen
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