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program Arctic Ocean 2050. The successful applicant will work with zooplankton data from the High Arctic to address knowledge gaps in life history strategies, phenology and the distribution of key
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result, the process of implementing and developing AI-based systems is high-risk, and can result in large losses or manual time required to rework products. Here therefore, a framework and approach to
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, monitoring even the most basic snow characteristics, such as presence of snow cover or snow depth, remains challenging. Most available satellite-based and modelled snow data products, especially for snow depth
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the grazing season—information that may offer practical and economic benefits to both society and industry. The focus of the PhD position is twofold. First, the candidate will quantify enteric methane emissions
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skills in relevant analytical methods Experience in (meta)proteomics Experience in bacterial cultivation Bioinformatic skills to handle large scale omics data Proficiency in at least one programming
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gender roles, parental leave, and traditional values in communities influence men’s life outcomes. The candidate will work with rich linkage of Norwegian population register data and several large health
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
1st May 2026 Languages English English English UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments Apply for this job See advertisement About the
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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for PFAS for Norwegian conditions. The data from the PhD-student will focus on the understanding of uptake mechanisms of PFAS and lay the foundation for the risk assessment that will primarily be done
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application