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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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that you are able to communicate fluently in oral and written English. It is considered advantageous if you have solid programming skills in Python, have good knowledge of LaTeX and version control systems
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to automate the process of species classification. However, there are still several methodologies that need to be developed to integrate these models into a functioning workflow for ecologists. In this 4-year
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can show indication of capacity to expanding into new competence areas. The candidates must 1) have a strong interest in integrating genetics, data management and management of biological processes, 2
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-cycle degree, or equivalent qualifications, in an engineering or natural science field that is sufficiently relevant to the research project. Only applicants who are admitted to doctoral studies may be
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properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute
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its dependency on the pre-fire forest structure and management practices in Fennoscandian boreal forests. Work includes e.g. developing methods to assess burn severity and fuel structure, processing
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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for the future conservation and management of forest ecosystems. The specific questions to be addressed fall under the three categories: 1. Method validation 2. Fundamental ecological processes & forestry impacts
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programming skills are considered an advantage. You have excellent communication skills in English, both spoken and written. Additionally, you should be able to work independently, be goal-oriented, and possess