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and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling of either clouds or climate. In the application, applicants should provide evidence of how
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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part of an international team Desired Qualifications Familiarity with cloud computing platforms and large-scale data processing German language skills Publications in computer vision or machine learning
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Vacancies PhD Position in Predictive Planning & Hybrid AI for High-Mix, Low-Volume Manufacturing (Industrial Doctorate with Thales) Key takeaways We are looking for a highly motivated PhD candidate
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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge computing is an advantage Excellent programming skills
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15th February 2026 Languages English English English PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position
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, future research interests, and including a list of publications and presentations (if applicable; max. two pages) PDF or cloud link of the Master’s thesis (if already submitted, otherwise a major
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, future research interests, and including a list of publications and presentations (if applicable; max. two pages) PDF or cloud link of the Master’s thesis (if already submitted, otherwise a major
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, future research interests, and including a list of publications and presentations (if applicable; max. two pages) PDF or cloud link of the Master’s thesis (if already submitted, otherwise a major