PhD Candidate in Machine Learning in Neurology

at Norwegian University of Science and Technology (NTNU)
Published September 9, 2023
Location Trondheim, Norway
Category Machine Learning  
Job Type Scholarship  


About the job

Do you want to participate in a groundbreaking interdisciplinary research project combining neurology, advanced computational science, and technology? We have a vacant position as PhD candidate for 3 years.

The Department of Neuromedicine and Movement Science, in collaboration with the Department of Computer Science, has recently launched a large-scale research project on the application of machine learning in headache research entitled Machine Intelligence in Headache (MI-HEAD). The overall goal of the project is to develop and apply artificial intelligence and machine learning methods and frameworks to improve the medical treatment of individuals with primary headaches.

In the project, an extensive database consisting of available Norwegian health register data combined with clinical data is used to develop models that predict the effect of migraine medications at the individual level. Such prediction may optimize the administration of correct treatment to individuals with migraine and significantly reduce the negative impacts of headache. We will also carry out a large-scale randomized controlled clinical trial to evaluate the effect of using machine learning to optimize treatment for individuals with migraine.

MI-HEAD is organized under the newly established Norwegian Centre for Headache Research (NorHEAD), a nationwide Centre for Clinical Treatment Research funded by the Research Council of Norway.  NorHEAD is hosted by the Department of Neuromedicine and Movement Science at NTNU, and collaborates with academic institutions, hospitals, and industry across the nation. MI-HEAD also works in close collaboration with the world-leading High-Dimensional Neurology group at UCL Queen Square Institute of Neurology, London, UK.

Department of Neuromedicine and Movement Science (INB), conducts research and education covering av wide range of areas related to the nervous system, sense organs, the head, and motion control and movement.

Sustainability is an important part of our social mission. As an employee at INB, we want you to get involved in the development of a sustainable future. Together with your colleagues, you will contribute to the department achieving its sustainability goals.

This position is a unique opportunity to contribute to a highly advanced and meaningful research area as part of a large-scale interdisciplinary and international initiative.

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

Duties of the position

In line with the aims of MI-HEAD, the position will be responsible for:

  • Participate in the development and application of advanced computational and high-dimensional models on the clinical headache database.
  • Have a major role in a clinical trial investigating the use of machine learning to optimize the treatment of migraine. The candidate will enroll and follow up trial participants, conduct statistical analysis and author high-impact manuscripts.
  • Work in close collaboration with computer scientist and neurologists to ensure clinical relevance of the models.
  • Collaborate with international partners to improve modelling and exchange experiences.
  • Contribute to ongoing research projects to increase department-wide collaboration, dissemination, high-quality publication, and spin-off funding.

Required selection criteria

  • A Norwegian medical degree, or corresponding foreign medical degree recognized as equivalent
  • License to practice medicine in Norway.
  • Your education must correspond to a five-year Norwegian degree program, 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, or equivalent education, which is equal to B or higher compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
  • You must meet the requirements for admission to the faculty's doctoral program
  • Experience with managing patients with headache disorders.
  • Interest in the application of computer science in healthcare, machine learning and medical technology.
  •  Excellent written and oral Norwegian and English language skills.

The appointment is to be made in accordance with Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research at NTNU and National guidelines for appointment as PhD, post doctor and research assistant

Preferred selection criteria

  • A good, documented understanding of the relevant research fields and domains.
  • Documented experience and ability with methods, software tools and open-source technology relevant to the domain.
  • Ability and willingness to conduct research in a multidisciplinary setting and team.

Personal characteristics

  • Excellent ability to interact, also independently, with external organizations.
  • Excellent ability to understand and mediate cross-disciplinary challenges.
  • Demonstrated ability to quickly acquire knowledge in new topics.
  • Demonstrated ability to work independently as well as in a team-based environment.
  • Passion for uncovering new knowledge and explaining it to others.

Emphasis will be placed on personal and interpersonal qualities.

We offer

Salary and conditions

As a PhD candidate (code 1017) you are normally paid from gross NOK 532 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years.

Appointment to a PhD position requires that you are admitted to the PhD program in Medicine and Health Sciences or Medical Technology within three months of employment, and that you participate in an organized PhD program during the employment period.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.

The position is subject to external funding by the Norwegian Research Council.

It is a prerequisite you can be present at and accessible to the institution daily.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must be attached to the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.

The application must include: 

  • Motivation letter (max 1 page)
  • CV, certificates and diplomas
  • A description of the academic works that you regard as most relevant and that you particulary want to be taken into account in the assessment
  • Name and contact information of three referees

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.

We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA. This means that we pay special attention to the quality and professional breadth of these works. We also consider experience from research management and participation in research projects. We place great emphasis on your scientific work from the last five years.

General information

Working at NTNU

NTNU believes that inclusion and diversity is a strength. We want our faculty and staff to reflect Norway’s culturally diverse population and we continuously seek to hire the best minds. This enables NTNU to increase productivity and innovation, improve decision making processes, raise employee satisfaction, compete academically with global top-ranking institutions, and carry out our social responsibilities within education and research. NTNU emphasizes accessibility and encourages qualified candidates to apply regardless of gender identity, ability status, periods of unemployment or ethnic and cultural background.

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact Anker Stubberud, telephone +4745229174, email  If you have any questions about the recruitment process, please contact HR Adviser Bente Kristin Årbogen Andersen, e-mail:

If you think this looks interesting and in line with your qualifications, please submit your application electronically via with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.

Application deadline: 1 October 2023

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

The Department of Neuroscience and Movement Science (INB) is an ambitious department in strong development. Great diversity in medicine and health disciplines is a hallmark of the department. We give priority to social relevance and quality in both education and research.

Several of our groups of researchers and teaching staff are at the forefront of their fields in Norway and internationally. Our ambition: “Through interdisciplinary collaboration, INB creates forward-looking education and research that lead the way in improving health and function.”
Read more about the Department here:

Deadline 1st October 2023
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Edvard Griegs gt. , 7030 Trondheim