89 data-"https:"-"https:"-"https:"-"https:"-"AALTO-UNIVERSITY" positions at Aalborg University
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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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. The work will explore adaptive MAC designs that leverage waveform structure and context information to improve user management, access efficiency, and robustness. A key aspect of the research is the joint
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of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established 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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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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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 more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates
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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