Norwegian Institute of Science and Technology
2 months ago
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PhD Candidate in Causal Machine Learning for Societal Impact of Migraine Treatments Norwegian University of Science and Technology in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
3-year full-time PhD position funded by the Norwegian Centre on AI for Decisions (aiD) and linked to NorHead. Gross salary is normally NOK 550,800 per annum depending on qualifications and seniority. The position is conditional on external funding.
Deadline
Sep 1, 2026
Country
Norway
University
Norwegian Institute of Science and Technology
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About this position
NTNU (Norwegian University of Science and Technology) is advertising a 3-year full-time PhD position in causal machine learning for the societal impact of migraine treatments. The position is hosted by the Norwegian Centre for Headache Research (NorHead) at the Faculty of Medicine, Department of Neuromedicine and Movement Science, in Trondheim, Norway.
The project sits at the intersection of medical science, statistics, computer science, public health, epidemiology, and neuroscience. The selected candidate will work with a nationwide multimodal research database including registry data, health surveys, genomics, metabolomics, clinical trials, and headache diaries to estimate individualized and population-level treatment effects (ITE/CATE) on outcomes such as sick leave, healthcare utilization, and productivity loss.
The post is embedded in an interdisciplinary and international environment, with collaborators in Norway, the UK, Denmark, Spain, and UCL Queen Square Institute of Neurology. The role includes doctoral training, research, publications, dissemination, and participation in meetings, conferences, and workshops.
Eligibility highlights: a relevant Master's degree (medicine, data science, AI, statistics, biostatistics, pharmacology/pharmacy, public health, or epidemiology), strong quantitative and analytical skills, a strong academic record, admission eligibility for NTNU's PhD programme, and good written and spoken English. Experience with Nordic health registers, machine learning, causal ML, and Python is preferred.
Funding: the position is funded by the Norwegian Centre on AI for Decisions (aiD) and linked to NorHead. Gross salary is normally NOK 550,800 per year, depending on qualifications and seniority. The position is conditional on external funding.
Application deadline: 2026-09-01. Apply electronically via Jobbnorge.no with a cover letter, transcripts, diplomas, CV, thesis copy/draft, relevant publications, and three referees.
Funding details
3-year full-time PhD position funded by the Norwegian Centre on AI for Decisions (aiD) and linked to NorHead. Gross salary is normally NOK 550,800 per annum depending on qualifications and seniority. The position is conditional on external funding.
What's required
Applicants must have a Master's degree or equivalent in medicine, data science, artificial intelligence, statistics, biostatistics, pharmacology/pharmacy, public health, or epidemiology. Strong quantitative and analytical skills relevant to statistical or machine learning methods are required, along with a strong academic background (average grade B or better on NTNU's scale or equivalent). Applicants must meet admission requirements for the faculty's Doctoral Programme and have proficiency in written and spoken English. Experience with Nordic health registers or similar data sources is an advantage, as is experience with machine learning methods, causal ML models/frameworks, and Python.
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