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Stories from UT employees Job alert About UT Campus Research institutes Strategy and culture Twente and Enschede Nederlands English en Nederlands English Vacancies Promovendus positie van data naar
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
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Digital & Data-Driven Workflows Developing standardised, traceable data acquisition and processing workflows. Contributing to an evolving “digital lab manual” with scripts, procedures, and guidelines
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data applications and the theoretical analysis of machine learning methods. A list of members of the statistics group can be found here . The Statistics group is embedded within a larger data science
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on the topic of model-based testing. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before June 1 2026, and include: A Curriculum
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flow. You will then assess the method’s validity under real atmospheric conditions using a combination of LiDAR data and Large Eddy Simulation (LES) results. Key Responsibilities: Develop and refine
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. Collaboration & Mentoring: Work closely with the project’s EngD researcher, providing the LES-generated data and expertise needed for the development of LiDAR-assisted forecasting methods. Methodological
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empirically grounded insights and strategies to support trustworthy data exchange and effective collaboration in emerging DPP ecosystems. The position offers the opportunity to conduct high-impact research
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, community-driven research software. Both institutions provide a full-time position each for the duration of 1 year, and both candidates will closely collaborate with each other and with data researchers in
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
costs. Yet this drive for error-free performance at a group level can unintentionally silence early warning signals on a personal level-such as when conflicting information during a bomb-threat response