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that the candidate will learn to perform rigorous and relevant research using a combination of quantitative and qualitative research methods and extend collaborations with key academic and industrial partners at both
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fieldwork (data collection); the ability to plan, coordinate and conduct field experiments. Work in research teams (e.g. during the master’s degree work). Experimental design related to aquatic environmental
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Job Description To support advancements in artificial intelligence (AI), machine learning, and data science at the University of Southern Denmark, the Maersk Mc-Kinney Moller Institute invites
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. This position, funded by the Innovation Found Denmark, offers an excellent opportunity to build expertise and drive innovation in the development of advanced PRO process. PRO is an advanced and sustainable
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applications. This position, funded by the Innovation Found Denmark, offers an excellent opportunity to build expertise and drive innovation in the development of advanced PRO process. PRO is an advanced and
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scientific impact in: Earth system science, by improving our models to reconstruct the evolution of Earth’s landscapes and thus help predict their future. Engineering applications, such as the design of next
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are crucial for their successful, time- and cost-effective design, construction, sale and purchase, operation and maintenance. Future naval vessels are expected to be highly modular, thus requiring similarly
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: Specialization in machine learning and computer vision. Strong skills in developing computer vision and AI models. Experience with thermography or thermal imaging. Experience in data fusion and multimodal learning
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September 2025. As a PhD student, you will plan, lead, and execute the project in collaboration with your supervisors, contribute to the overall project development, and participate in teaching activities