Causal Machine Learning Scholarship — The PhD Candidate in Causal Machine Learning for Societal Impact of Migraine Treatments scholarship is a fully funded doctoral position at NTNU – Norwegian University of Science and Technology. This research focuses on developing causal machine learning methods to evaluate the societal impact of migraine treatments, combining advanced AI with public health.
NTNU is Norway’s largest university, known for its strong emphasis on technology and innovation. The Department of Mathematical Sciences hosts this position, offering a vibrant research environment with access to cutting-edge computational resources and collaboration with leading experts in machine learning and epidemiology.
Causal Machine Learning Scholarship Benefits
- Exciting and stimulating tasks in a strong international academic environment
- An open and inclusive work environment with dedicated colleagues
- Favourable terms in the Norwegian Public Service Pension Fund
- Employee benefits
Causal Machine Learning Scholarship Eligibility Criteria
- You must have a professionally relevant background in statistics, machine learning, computer science, mathematics, or a related field
- Your education must correspond to a five-year Norwegian degree programme, where 120 credits are obtained at master’s level
- You must have a strong academic background from your previous studies and an average grade from the master’s degree program, equivalent to B or better compared with NTNU’s grading scale
- You must meet the requirements for admission to the PhD programme in Engineering
- Excellent written and oral English skills
Required Documents
- A short motivation focused cover letter (maximum 1-2 pages)
- Transcripts and diplomas for Bachelor’s and Master’s degrees
- CV
- Copy of Master’s thesis. If you have recently submitted your Master’s thesis, you can attach a draft of the thesis. Documentation of a completed Master’s degree must be presented before taking up the position
- Possibly publications etc. other relevant research work (up to 10 works)
- Names and contact information of three relevant referees
Duties of the position
The main duties and responsibilities of the position are:
- The successful candidate will join the NorHead research group and is expected to take initiative in shaping and advancing the project’s research activities
- Complete doctoral education until obtaining a doctorate
- Carry out research of good quality within the outlined framework
- Academic publications and popular science dissemination
- Participate in the research group’s weekly and/or monthly meetings
- Participate in international activities such as conferences, workshops, and presentation opportunities
How to Apply for Causal Machine Learning Scholarship
- CV and certificates
- Transcripts and diplomas for bachelor’s and master’s degrees
- A copy of the master’s thesis
- Project proposal (max 3 pages) describing your research ideas for the PhD
- Name and contact information of three referees
- If you have publications or other relevant research work
Frequently Asked Questions (FAQs)
Here are the most frequently asked questions about the PhD Candidate in Causal Machine Learning Scholarship. These answers cover eligibility, benefits, deadlines, and how to apply.
What is the focus of this PhD position?
The PhD focuses on developing causal machine learning methods to evaluate the societal impact of migraine treatments. It combines advanced AI techniques with public health research to understand how treatments affect patients and society.
What are the eligibility criteria for this scholarship?
You need a relevant background in statistics, machine learning, computer science, or mathematics. Your education must correspond to a five-year Norwegian degree with at least 120 credits at master’s level. A strong academic record (grade B or better) is required.
Is this position fully funded?
Yes, this is a fully funded PhD position. It includes a competitive salary, favourable pension terms, and employee benefits. The position is for a fixed term of 3 years with the possibility of extension.
What documents are required for the application?
You need to submit a CV, transcripts and diplomas, a copy of your master’s thesis, a project proposal (max 3 pages), and contact information for three referees. Publications or other research work can also be included.
What is the deadline for applying?
The application deadline is 31 March 2026. All applications must be submitted electronically through the Jobbnorge portal. Late applications will not be considered.
What language skills are required?
Excellent written and oral English skills are required. Norwegian language skills are not mandatory but are considered an advantage. The working language at NTNU is English.
Can international students apply?
Yes, international students are welcome to apply. NTNU values diversity and encourages applicants from all backgrounds. You must meet the admission requirements for the PhD programme at NTNU.
What is the duration of the PhD position?
The PhD position is for a fixed term of 3 years. There is a possibility of extension for up to one additional year depending on departmental needs and funding.
What benefits are included in this scholarship?
Benefits include a stimulating international academic environment, an open and inclusive work culture, favourable terms in the Norwegian Public Service Pension Fund, and standard employee benefits.
How do I submit my application?
Applications must be submitted electronically via the Jobbnorge website. Click the ‘Apply for this job’ button on the official job posting page. Do not send applications by email.
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