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The Luxembourg Institute of Socio-Economic Research (LISER) is recruiting aPhD Candidate in Geospatial Data Science and Environment with a focus on Artificial Intelligence and Machine Learning (f/m
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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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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., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt
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(e.g., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website
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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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, 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
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://www.transformresearch.eu Your profile•Master’s degree in Quantitative Geography / Transport or Civil engineering / Data Science / Psychology / Sociology / Health or Epidemiology / Urban Planning / or other relevant
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Quantitative Geography / Psychology / Sociology / Health or Epidemiology / Transport or Civil engineering / Data Science / Urban Planning / or other relevant quantitative field ;•Excellent knowledge and
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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