The Industrial Ecology Program (IndEcol), Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU) is seeking a PhD student to advance the use of data science – a combination of statistics and advanced information processing – in the area of sustainability analysis. The student will be supervised by Professor Edgar Hertwich and Dr. Konstantin Stadler, the director of the Digital Lab at NTNU-IndEcol. The place of duty is Trondheim.
Main duties and responsibilities
- automate acquisition and processing of data used to construct Multiregional Input-Output Models and/or its environmental extensions
- Develop, test, implement, and document environmental and resource assessments employing the updated MRIO
- Document the work in Github and describe results in the scientific literature
- Complete a dissertation draft
The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is completion of a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in informatics, statistics, industrial ecology, economics, physics, mathematics, operations research, or engineering.
- Strong analytical capabilities
- good written and oral communications skills in English; Scandinavian language skills are a plus
- competence in statistical analysis, databases and/or mathematical modeling
- Evidence of coursework or work experience related to environment, sustainability
- Strong programming (e.g., R, MatLab, Python)
- evidence of ability to handle large complex datasets will be seen in a positive light.
- Competence in operations research, optimization, or exposure to social science/economics will be evaluated positively.
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