PhD Student in Machine Learning and Computer Simulation | PhD student (m/w/d)
Helmholtz-Zentrum hereon GmbH
Job Summary
This PhD position at the Helmholtz-Zentrum Hereon focuses on developing advanced machine learning models for regression and reinforcement tasks. The successful candidate will integrate these models with established computational engineering and computer simulation methods, such as the finite element method, to analyze and exploit relationships within the composition-process-structure-property-performance chain. The role involves implementing machine learning architectures in Python, validating results in collaboration with interdisciplinary teams, and publishing findings in international scientific venues. This opportunity is ideal for a candidate with a strong background in computational engineering or computer science, excellent programming skills, and a desire to contribute to cutting-edge research in materials science and engineering, particularly in additive manufacturing.
Required Skills
Education
Master’s degree in Computational Engineering, Mechanical Engineering, Computer Science, Applied Mathematics, Physics, or a similar area
Experience
- Prior experience with neural networks using common Python-ML libraries such as PyTorch
- Background knowledge in computational mechanics and applied mathematics (preferred)
Languages
Additional
- Not specified
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