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described below? Are you our future colleague? Apply now! Education PhD in Computer Science or similar areas. Expert engineers with a master degree may also be considered for the position Experience and
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Applications should include: Curriculum Vitae (including work experience, list of publications) Cover letter indicating the research area of interest and your motivation Research statement Early application is highly encouraged, as the applications will be processed upon reception. Please apply...
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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 reduction, and social
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As a Data Engineer, you will play a central role in the development and operation of the University’s modern data platform. You will design, build, and maintain scalable data pipelines that support analytics, reporting, and data-driven decision-making. Working closely with analysts, data...
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-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 reduction, and
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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future colleague? Apply now! Education PhD degree in Computer Science or related field, with at least 3–4 years in RDI. Experience and skills in Experience in work package leadership, proposal writing, and
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programme and three Master’s programmes, alongside a robust range of outreach activities, and is dedicated to training the next generation of researchers - PhD candidates and postdoctoral scholars. With a
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will reinforce expertise in digital methods in construction, focused on project management. They are expected to: (i) Conduct research in: Construction informatics, BIM, data science, digital twins AI
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, the project PSYBER - Assessing Cybersecurity Preparedness will be executed closely with Prof. Marcus Völp (Robustness and Resilience in Computing), Prof. Pedro Cardoso-Leite (Faculty of Social Science