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Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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robots, autonomous vehicles, and drones, develop rich frameworks to interact with the world in real time? This is the main underlying theme to be explored within this postdoctoral position. The appointed
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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on major societal challenges. These clusters offer a framework for large-scale, collaborative research with national and international partners. Place of work and area of employment The place of employment
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programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML systems in safety-critical settings
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individual attention and academic quality. The ideal candidate has experience in teaching and supervising within the PBL framework or similar project-based learning environments and is motivated to develop new
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset
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categorical framework. Candidate Profile We are looking for a highly motivated candidate within the fields of mathematics or mathematical physics. The successful candidate will have a solid background in
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public organisations, and the Innovation, Knowledge and Economic dynamics Group (IKE), which examines knowledge creation and innovation as processes of interactive learning within systemic frameworks
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of your work within the overall project framework. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. How to apply Your application must include the following