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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD in Learning Strategies for Data Driven Process Control is open for appointment from 1.02.2026
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optimization of production systems and supply chains, including digital twins, virtual system validation, process modeling, and data-integrated decision models. Research should explicitly support managerial
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testing and condition monitoring using modern machine learning, including multimodal foundation models and related data-driven and physics-informed approaches. Research topics may include visual and real
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hardware-in-the-loop testing of integrated energy systems. The candidate is expected to have a solid understanding of system monitoring, experimental data management, and validation of thermal systems, as
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well as problem-based learning and project work (PBL). Applicants can find information about the academic content of the programmes here. Research Assistant Professors develop their own research profiles and
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areas: cyber security privacy engineering cryptography and applied cryptography computer engineering edge or cloud computing and networking. You will be part of one of the department’s research groups in
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mitigation, construction, and bio-based systems. Familiarity with integrating structured and open data practices in LCA workflows will be considered a plus. Additionally, you have a proven track record of
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on Department of Sustainability and Planning here. You may obtain further professional information from Associate Professor Ivar Lyhne, +45 5142 2310, lyhne@plan.aau.dk How to apply Your application
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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
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are in part funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC