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research teams. The research will be conducted within the Intelligent Wireless Networking (iWiNe) team (https://idlab.ugent.be/research-teams/iwine), internationally recognized for its work on openwifi and
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the specific projects above you seek to join, your profile should cover some of the skills listed below. Masters degree in electrical/electronic engineering, computer science, computer engineering
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publishing in peer-reviewed scientific journals Your Profile Master’s degree in electrical engineering, physics, computer science, or a related field Strong academic background in embedded AI and in the
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in
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support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs Annual Leave: You get 30 days of
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and prepare your doctoral thesis Your Profile Your qualifications and technical background include: An excellent master’s degree or equivalent in computer science, data science, applied mathematics
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, applied mathematics, computer science, computational engineering or a related discipline Sound knowledge of mathematical optimisation, control engineering or energy-management methods Experience in
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering
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Requirements: Applicants should hold a degree in Electronic Engineering, Communications Engineering, Computer Science, or a related discipline, with a strong mathematical foundation.Experience in