Research Associate / Doctoral Candidate | wiss. Mitarbeiterin bzw. Mitarbeiter / Doktorandin bzw. Doktorand (m/w/d)
Technische Universität Dresden Arbeitsstätte Dresden
Job Summary
This role involves conducting fundamental and applied research in artificial intelligence, large language models, and deep learning, specifically focusing on automating process chains in aircraft construction, which is crucial for the green energy transition. The successful candidate will develop novel deep-learning approaches to create a framework for automated digital airplane design processes. Key responsibilities include preparing publications for international journals, presenting research at conferences, and developing efficient ML/AI software solutions. The position offers an opportunity for scientific further qualification, typically leading to a doctorate, within a highly current research field with excellent infrastructure and engaged mentoring. It's an attractive opportunity for individuals passionate about cutting-edge AI research and its application in critical sectors.
Required Skills
Education
University degree in Computer Science, Mechanical Engineering, Computational Modeling and Simulation, Physics, or a related field
Experience
- Experience in Machine Learning, Large Language Models, Deep Learning, Computational Fluid Dynamics, and High-Performance Computing (preferably multiple areas)
- Professional experience with ML software solutions (PyTorch, Tensorflow, or similar)
Languages
Additional
- Not specified
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