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/mathematics/computer science) at the undergraduate level is required. Programming ability is required. Excellent academic grades, demonstrating a commitment to academic excellence and research potential
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MSc in statistics, applied mathematics, computer science, AI, or a related technical discipline scientific curiousity, creativity, perseverance in completing challenging projects, an interdisciplinary
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 23 days ago
, mathematics, electrical engineering etc.). Excellent programming skills (Python, Matlab) are required. The candidate will be embedded in the Neural Computation Group at the Max Planck Institute for Human
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must hold a Master degree in Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of
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for nature-based climate mitigation and marine biodiversity conservation. SEAGUARD is a joint effort of the IOW, the informatics department of the University of Kiel, and the remote sensing company EOMAP GmbH
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for Advanced Computer Science (LIACS) at Leiden University, supervised by Dr. Flor Miriam Plaza del Arco, Prof. Suzan Verberne and Prof. Joost Broekens. More information about the Human AI cluster can be found
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20 Sep 2025 Job Information Organisation/Company University Medical Centre Groningen (UMCG) Research Field Computer science » Informatics Engineering » Biomedical engineering Researcher Profile
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backgrounds such as in computer science, mathematics (pure or applied), or engineering. The successful applicant will be highly motivated, have excellent time management, and a proven track record in
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/Qualifications Master’s degree in Computer Science, Mathematics, Electronics & Informatics/Mechanical Engineering Familiarity with ROS and 3D sensing technologies (Kinect, ZED, etc.) is a plus Excellent
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supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University. The focus is on explainability for multimodal foundation models