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PhD Position in Transport Modelling for Sustainability Transitions Molde University College in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
The appointment period is 3 years. The position is remunerated with a gross salary from NOK 550 800 per year, with 2% deducted for the Norwegian State Pension Fund. Employment follows Norwegian regulations for fixed-term public sector jobs.
Deadline
Nov 1, 2026
Country
Norway
University
Molde University College

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About this position
Molde University College (Norway) is advertising a PhD position in Transport Modelling for Sustainability Transitions linked to the TRANSPLAN – Norwegian Centre for Sustainable Transport Planning. The project sits within the Faculty of Logistics and the PhD programme in Logistics.
The research focus is on developing modelling approaches for analysing future transport scenarios under deep uncertainty. The post highlights the integration of discrete choice modelling (DCM) and agent-based modelling (ABM) to study transport behaviour and support scenario-based planning and backcasting for a low-carbon society by 2050. The work is intended to contribute both methodological advances in transport modelling and practical decision support for sustainable transport planning.
Applicants should have a strong master’s degree in transport, economics, engineering, operations research, data science, geography, or a related field. The university expects strong analytical and quantitative skills, interest in transport systems, travel behaviour, sustainability transitions, and modelling under uncertainty, plus experience with quantitative methods, stated choice experiments, simulation modelling, ABM, transport modelling, econometrics, or related approaches. Programming skills in Python, R, or similar languages are desirable, and excellent English is required.
The appointment is for 3 years and includes a gross salary from NOK 550,800 per year (2% pension deduction). The post is a fixed-term position under Norwegian public-sector rules. No tuition waiver or scholarship programme is mentioned; this is a salaried PhD employment.
To apply, submit your application via Jobbnorge and include a 3–5 page research proposal, CV, certified diplomas/transcripts, master thesis or equivalent, any additional publications, and contact details for three references. The proposal must clearly state the title, research question(s), theory, method, and novelty, and it is the most important criterion for ranking qualified applicants. Deadline: 1 November 2026.
Funding details
The appointment period is 3 years. The position is remunerated with a gross salary from NOK 550 800 per year, with 2% deducted for the Norwegian State Pension Fund. Employment follows Norwegian regulations for fixed-term public sector jobs.
What's required
Applicants should have a strong master's degree in transport, economics, engineering, operations research, data science, geography, or a related field. The master's degree must be at least one full year (60 ECTS) and include an individual academic work, normally a master’s thesis. A minimum average grade of B or better on the ECTS scale, or equivalent, is required. Candidates should have strong analytical and quantitative skills, interest in transport systems, travel behaviour, sustainability transitions, and modelling under uncertainty, plus experience with quantitative research methods, stated choice experiments, simulation modelling, agent-based modelling, transport modelling, econometrics, or related approaches. Programming skills in Python, R, or similar languages are expected, and excellent written and spoken English is emphasized.
How to apply
Apply through the Jobbnorge portal and submit a research proposal of up to 5 pages, CV, certified diplomas/transcripts, master thesis or equivalent, any additional publications, and names, positions, and email addresses of three references. The proposal must include a title, research problem/questions, theory, method, and novelty, and it is the most important ranking criterion.
More information can be found here
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