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an international, committed and collegial team Excellent technical equipment and the newest technology Qualified support through your scientific colleagues The chance to independently prepare and work on your tasks
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, engineering, mathematics or a related field of study Huge interest in data science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in
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Description Water can move in two interconnected realms: the fast, visible rivers at the surface and the slower, pressure-driven flow within substrates. Today, engineers can model each realm
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Your Job: As part of a collaborative research project funded by the Federal Ministry of Research, Technology and Space (BMFTR), and conducted in cooperation with academic and industrial partners
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of innovative solutions to complex engineering challenges. 4. Proficiency in anticipating technical and schedule risks within the project, developing effective mitigation strategies, and implementing quality
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nanoindentation, for generating their own data sets Your Profile: A completed university degree (Master or equivalent) with excellent grades in the field of data science, material science, mechanical engineering
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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, standardisation processes, and risk management. These proficiencies open pathways to leadership roles in AI engineering for regulated industries, including aerospace certification, automotive compliance, and
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researchers in multi-investigator or multi-disciplinary scientific projects. Condition of Employment Reliability Status For a Reliability Status, verification of background information over a period of 5 years
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legislation. This is hindering their development and delaying their introduction into the market. The engineering process for ensuring compliance with functional safety requirements involves thorough risk