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environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in partial automation with limited
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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of high-quality GPR data collected at the University of Twente’s Utility Mapping Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training
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19 Sep 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Civil engineering Engineering » Computer engineering Researcher Profile Recognised Researcher
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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in high-tech, medical, and energy systems. Information Modern engineering increasingly relies on data-driven models to describe complex dynamical systems. Scientific machine learning is now enabling a
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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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, visualization, rendering, modeling, interaction, simulation, game technology, and immersive environments, with strong connections to artificial intelligence, data science, AR/VR, 3D computer vision, and high
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biological data is an advantage, but is not required if you bring strong machine-learning expertise and are motivated to learn the biology. Our offer a central role in developing ARCA, the core AI technology
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have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab