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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission
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Networks, and ICT Services & Applications. This industrial PhD position is part of the "Autonomous Systems for Land, Air and Space" (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of
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to state-of-the-art technologies. Access to extensive scientific and transferable skills training programs available through VIB and KU Leuven.The position is available from September 1st, 2026. How to apply
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core network protocols Proficiency in multiple programming languages including bash scripting, MATLAB, C/C++ and Python. Other simulation languages such as JULIA are pluses Working knowledge
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, Vehicular Communications Experience in system modeling and simulation of communication systems Strong programming skills in MATLAB are required; experience with Python, C/C++, or GPU-based computing is an
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Solid programming skills, e.g., Python, machine learning frameworks, data analysis tools Experience with social media research or large language models is an advantage Strong analytical thinking and
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the development of a higher-layer semantic planning, the decomposition of the plan in subsegments and dedicated controller (such as MPC) for combined planning and control on a subsegment of the XS-Graph
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, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical, problem solver, and programming skills for Python and Matlab are preferred Experience
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, Mechatronics, Data Science, or a closely related field Strong background in signal processing, measurement systems, or data analysis Programming skills in Python, MATLAB, or similar scientific computing