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PhD Fellowship in Bioenergy with Carbon Capture and Storage (BECCS) University of Copenhagen in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
PhD fellowship at the University of Copenhagen. For the integrated MSc and PhD route, funding includes 48 state education grant portions plus salary for work totaling 150 working hours per year until the MSc is obtained, then salary for two years under the AC agreement. The regular PhD programme is full-time for up to 3 years with employment as a PhD fellow; specific stipend amount is not stated.
Deadline
Sep 14, 2026
Country
Denmark
University
University of Copenhagen
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About this position
PhD fellowship in Bioenergy with Carbon Capture and Storage (BECCS) at the Department of Geosciences and Natural Resource Management, University of Copenhagen, within the Silviculture, Trees and Bioresources research group.
The project is part of “BECCS as a tool to achieve net-negative GHG emissions in Europe”, financed by the Novo Nordisk Foundation. The research focuses on carbon dioxide removal, forest bioresources, ecosphere-technosphere interactions, carbon dynamics, land use, and climate change mitigation. It combines ecology, forestry, energy systems analysis, techno-economic assessment, GIS/spatial analysis, quantitative modelling, data analysis, machine learning, Python, and advanced AI frameworks applied to bioresources.
The position is based on Frederiksberg Campus in Copenhagen and offers a dynamic, international research environment. The department highlights broader interests in forests, forest-based climate solutions, biosphere-atmosphere interaction, climate policy, and related themes.
Degree routes: a 3-year regular PhD (5+3) for applicants with a relevant master’s degree, or an integrated MSc and PhD programme (3+5) for applicants with a relevant bachelor’s degree who are enrolled or eligible to enroll in one of the faculty’s master’s programmes in Climate Change, Environmental Science, Environment and Development, or Biosolutions.
Funding: the integrated route includes 48 state education grant portions plus salary for work until the MSc is completed, then salary for two years under the AC agreement. The regular route is a full-time PhD fellowship for up to 3 years.
Deadline: 14 September 2026, 23:59 GMT+2. Start date: 1 January 2027, or as soon as possible thereafter.
How to apply: submit an English application through the APPLY NOW portal with a motivation letter, CV, diplomas/transcripts, and optional publication list and reference letters.
Funding details
PhD fellowship at the University of Copenhagen. For the integrated MSc and PhD route, funding includes 48 state education grant portions plus salary for work totaling 150 working hours per year until the MSc is obtained, then salary for two years under the AC agreement. The regular PhD programme is full-time for up to 3 years with employment as a PhD fellow; specific stipend amount is not stated.
What's required
Applicants should have a relevant Danish master’s degree for the regular 5+3 PhD route, or a relevant Danish bachelor’s degree for the integrated 3+5 MSc/PhD route. The project seeks a highly motivated candidate with strong interdisciplinary qualifications and interests in ecology, forestry, and energy systems analysis. Required or preferred experience includes systems thinking and systems analysis, understanding of ecosphere-technosphere interactions with focus on carbon and greenhouse gases, techno-economic assessment, spatial analysis and GIS, quantitative/predictive/stochastic modelling, data analysis, machine learning, Python, and advanced AI frameworks applied to bioresources. Good language skills, relevant work experience, and other relevant professional activities are also mentioned.
How to apply
Prepare an English application and submit it electronically via the APPLY NOW portal. Include a motivation letter, CV, diplomas and transcripts, and optionally a publication list and reference letters. Apply before the deadline and ensure all attachments meet the stated requirements.
More information can be found here
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