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Norwegian University of Life Sciences

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PhD Position in Applied Causal Machine Learning Norwegian University of Life Sciences in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 31, 2026

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Country

Norway

University

Norwegian University of Life Sciences

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Keywords

Computer Science
Data Science
Electrical Engineering
Information Technology
Mathematics
Graph Theory
Causal Inference
Bayesian Statistics
Optimisation
Statistics
Machine learning

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About this position

PhD opportunity in Applied Causal Machine Learning at the Norwegian University of Life Sciences (NMBU), Faculty of Science and Technology (REALTEK), Department of Data Science. The position is affiliated with aiD, Norway’s national AI research center focused on trustworthy, data-driven AI systems for critical industries.

The project sits at the intersection of machine learning, causal inference, and classical statistical methods. The research goal is to develop methods that go beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI. Application areas mentioned for aiD include energy systems, health and medicine, logistics, infrastructure, and industrial operations.

This is a 3-year PhD position with a desired start date of 1 October 2026. The successful candidate will work in an interdisciplinary and collaborative environment with opportunities for collaboration across academia and industry, nationally and internationally, and will contribute to the Data Science research group and aiD network activities.

Eligibility highlights: a Master’s degree or equivalent in statistics, machine learning, computer science, mathematics, physics, engineering, cybernetics, economics, data science, or a related field; strong grades (B or better for both average and thesis in the Norwegian system); proficiency in written and oral English; solid mathematics; familiarity with machine learning and deep learning; programming experience in Python or Julia; strong analytical and quantitative skills; motivation and personal suitability. Experience with causality, advanced Bayesian statistics, optimization, graph theory, modern deep learning, or relevant domain knowledge is considered an advantage.

Funding: salaried PhD Research Fellow position, position code 1017, with salary NOK 550,800 per year; higher salary may be considered for exceptionally well qualified candidates. Admission to the PhD program is required before appointment.

Application deadline: 31 August 2026. Apply online through Jobbnorge / NMBU’s recruitment system and upload the required documents: motivation letter, CV, certified diplomas and transcripts, English proficiency documentation, and any additional relevant scientific documentation.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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