PhD Candidate in Artificial Intelligence for Understanding Mental Health Interventions(AI-MENT project).

Updated: 3 months ago
Job Type: FullTime
Deadline: 16 Nov 2022

16th November 2022

  • English


The Department of Computer Science has a vacancy for a

PhD Candidate in Artificial Intelligence for Understanding Mental Health Interventions(AI-MENT project).
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About the position

The Norwegian Open AI Lab  and Data and Artificial Intelligence group currently has a vacancy for a 3-year PhD position (or 4-year with optional academic duties) in the field of Machine Learning for Understanding Mental Health Interventions.

The Department of Mental Health  and The Trondheim Sleep and Chronobiology Research group  also has a 3-year PhD position in the field of Machine Learning for Understanding Mental Health Interventions.

The two positions are listed separately but are both part of a research collaboration between the Department of Computer Science, the Department of Mental Health at NTNU and St. Olav’s hospital in Trondheim, Norway.

In this collaboration we aim at conducting interdisciplinary research towards developing methods for personalized treatments. We have an open and interactive research environment with PhDs, postdocs and professors working together on novel concepts on how to utilize technology in societal challenges. 

This Ph.D. position will work on unique mental health datasets that have been collected in previous Randomized Controlled Trials. During the project the candidate will develop models using machine learning methods to predict and explain the responders/non-responders to treatment. The work will be conducted in an interdisciplinary team with a goal to use the resulting models supporting decisions on whether the treatment is promising. A second dataset on the monitoring of movement will be made available during the project and can be explored by the candidate. 

We anticipate the starting date for the candidate is during spring semester 2023. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

Your immediate leader is the Head of Department.

Duties of the position

The candidate for the PhD position must have profound knowledge of modern machine learning methods, frameworks and tools. Ideally, the candidate has a master’s thesis in this field. Moreover, the candidate needs to be open and be able to communicate technical details to non-technical collaborators. 

The main duties and responsibilities for the position are:

  • Develop research prototypes within collaborative, interdisciplinary research projects.
  • Work in close collaboration with researchers in mental health.
  • Test and evaluate the solution in simulated and real environments.
  • Disseminate results through publications and presentations.

Required selection criteria
  • You must have a professionally relevant background in Artificial Intelligence.
  • You must have practical experience using machine learning frameworks and excellent knowledge of Python.
  • 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, or equivalent education, which is equal to B or better 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 .

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

Preferred selection criteria
  • Strong background in one or more of the following areas: artificial intelligence or machine learning.
  • Knowledge on systematically storing and organizing large datasets and source code management (GitHub, etc.).
  • Good written and oral English and Norwegian language skills.

Personal characteristics
  • Ability to take initiative and work independently.
  • A positive and professional attitude as well as being a good team-worker.
  • Social adaptability and communication skills.
  • Willingness to learn new skillsets.

We offer
  • 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

Salary and conditions

As a PhD candidate (code 1017) you are normally paid from gross NOK 501 200 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 (with the option of 4 years and taking on teaching duties).

Appointment to a PhD position requires that you are admitted to the PhD programme in Computer Science within three months of employment, and that you participate in an organized PhD programme 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 from NFR.

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

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 follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above. 

The application must include:

  • CV, certificates and diplomas.
  • Transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit confirmation that the master's thesis has been submitted.
  • A copy of your master's thesis. If you recently have 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.
  • Research statement (max. 3 pages) including:
    • A short presentation of the motivation for a PhD study.
    • How the applicant sees his/her background suitable for the position.
    • The applicant’s view of research challenges for the selected PhD position, as well as his/her theoretical and methodological approach to the challenges. 
  • Name and address of three referees.
  • If you have publications or other relevant research work.

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.

Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief 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.

General information

Working at NTNU

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or 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 Kerstin Bach, telephone 73597410, email . If you have any questions about the recruitment process, please contact HR at the Department, 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: 16.11.22

NTNU - knowledge for a better world

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. 

Department of Computer Science 

We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .


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16th November 2022


NTNU - Norwegian University of Science and Technology




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