PhD studentship, Data Science for Future Sustainability

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.

Main duties and responsibilities

  • Advance analysis methods of greenhouse gas emissions, resource use
  • Develop tools and methods to harvest and continuously update data used by industrial ecology tools to track progress towards sustainability
  • Learn to identify opportunities for data science to provide new insights to sustainability

Qualification requirements

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. 

Other qualifications

  • 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.

Read advertisement and apply through Jobbnorge.


Read more / apply
  • Application deadline: Jun 15, 2019
  • Norwegian University of Science and Technology (NTNU)
  • Department of Energy and Process Engineering
  • PhD and Postdoc Positions
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