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one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred Design (PCD) for Sustainable Construction, and Sustainable Space. Each position addresses specific
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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profile, but also give him/her access to (and the chance to critically engage with) some of the most renowned experts in the field. For more information concerning this position, please contact: dsefm
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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chance to critically engage with) some of the most renowned experts in the field. For more information concerning this position, please contact: Your profile We are looking for a candidate with
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contributions to standardisation efforts. Your role This fully funded PhD position focuses on Sustainable Space, addressing critical challenges such as orbital debris management, space traffic optimisation
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Applications should include: Curriculum Vitae Cover letter Contact information of two or three referees Research statement and topics of particular interest to the candidate (max 1 page) Early
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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application to a PhD and your educational training that prepared you for academic research on the topic of the research project Publication list (if applicable) Two recommendation letters from previous