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Field
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and control system for real-time control and operation at autonomy level 3 as defined by the International Maritime Organization (IMO 1). The control system to be developed will almost completely avoid
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results in materials with diverse microstructures and mechanical properties Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods, such as
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performance in the required courses of the PhD programme will be evaluated by regular testing and confirmed by the supervisor. PhD students determine their individual courses of study in accordance with
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-performance computing and imaging facilities. a collegial, international atmosphere and flexible, family-friendly working hours a structured PhD programme with extensive training and career-development
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participate in the courses, for example by holding lectures during seminars or participating in doctoral study groups. Students' performance in the courses will be evaluated and documented during the programme
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. by giving lectures during seminars or by participating in doctoral colloquia. A student's performance in the required courses of the PhD programme will be evaluated by regular testing and confirmed by
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talented researchers. The structured PhD training programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2026. We offer An outstanding
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written and spoken English skills High degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very latest issues that impact our society
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design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together