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information about the project can be found on the project website . The position is for 48 months. Job description Profile The candidate can work independently or as part of a small team, has strong self
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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PhD in Intelligent Information & Incentive Design for Cyber-Physical Systems (V24.0341) « Back to the overview Job description A fully funded PhD position is available at the University of Groningen
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following domains in the context of wireless communications: RF engineering/software-defined radios Signal processing and radar Mathematical modeling and optimization Physical layer security General
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following domains in the context of wireless communications: RF engineering/software-defined radios Signal processing and radar Mathematical modeling and optimization Physical layer security General
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part of the Electrical Engineering, Mathematics,and Computer Science (EEMCS) Faculty. We are an innovation-driven and multidisciplinary team of early-stage and senior professors, postdocs, PhDs, and MSc
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Research Centre (HTRC) located in Ansty Business Park. The team comprises ~100 personnel including Rolls-Royce Design and Manufacturing Engineers, University of Birmingham Academics, Research Fellows, and
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the O-RAN intelligent controller framework. The project will explore Off-line reinforcement learning, also known as batch reinforcement learning, In Off-line RL the agent learns from a fixed dataset of
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Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7545 Job description We are seeking an enthusiastic PhD candidate to develop novel ideas to establish trust in deep learning
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to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social