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Professor/Associate Professor in Sustainable Digital Transformation with focus on Responsible AI

Trondheim, Norway
Closing date
3 Jun 2024

About the job

Sustainable Digital Transformation (or Twin Transition) is an important area for research and education focusing on the impact of technology-driven innovation on society, economy, and the environment. Responsible Artificial Intelligence (AI) is a pillar for Sustainable Digital Transformation that consists of developing, using, and governing AI in a way that adheres to fundamental human values. We seek candidates with knowledge, interest and research contributions to studies of digital technologies (including AI) from a sociotechnical perspective.

The Department of Computer Science has a growing focus on Responsible AI as part of strategic initiatives such as NorwAI (Norwegian Center for AI Innovation,, the Norwegian Open AI Lab (NAIL,, CESICT (Center for Sustainable ICT;, NTNU’s Energy Hub initiative ( ), BRU21 (Better Resource Utilization in the Energy sector,, and several national and international projects.

This position relates specifically to strengthening our department’s research and education activities in relation to the energy sector which is currently undergoing a Digital Transformation in its quest for  more sustainable energy sources. The position is sponsored by Equinor as part of a university collaboration scheme.

The position will be affiliated with NAIL. We will through this position seek strong collaborations with relevant departments, including the Department of Electric Energy and the Department of Engineering Cybernetics.

Your immediate leader is Head of Data and Artificial Intelligence group (DART).

Duties of the position

The professor/ associate professor will be a regular member of the department’s scientific staff, with privileges and duties following from that, including teaching and student supervision. The responsibilities include the following:

  • Contribute towards research and research-based education in Sustainable Digital Transformation with a focus on Responsible AI.
  • Contribute towards research activities on Responsible AI in different empirical contexts, especially within the energy sector.
  • Contribute to developing new projects in the relevant domain.
  • Contribute to administrative tasks such as hiring committees, educational and research boards, etc., at the department of Computer Science.
  • Contribute to an excellent learning environment in collaboration with colleagues, students, and external stakeholders.
  • Teach Computer Science courses at all levels, including basic AI and Machine Learning (ML) courses, and supervise masters and Doctoral students.
  • Disseminate relevant parts of the research to a wider audience.

Required qualifications 


You must have the qualifications required for the position of Professor in the field of Computer Science/Informatics or directly related area, as outlined in § 1-2 of the regulations concerning appointment and promotion to teaching and research posts 

  • Your scientific experience must be primarily in the study of digital technology with a strong focus on AI in different empirical settings.
  • Documented experience in teaching and researching digital technology and AI.
  • Peer-reviewed publications in top venues within relevant areas.

In addition to the requirements for basic educational competence, you must also document:

  • The development of the quality of your own teaching and supervision of students over time
  • Broad experience as a supervisor, preferably at a master’s/PhD level
  • Participation in improving the quality of education in a professional environment

Associate professor: 

You must have the qualifications required for the position of Associate Professor in the field of Computer Science or directly related area, as outlined in the regulations concerning appointment and promotion to teaching and research posts 

  • Your PhD, or comparable academic work, must be within the field of Computer Science/Informatics with significant connections to AI. If you can document that the PhD thesis has been submitted, your application can be assessed even if you have not yet defended your dissertation. Documentation of the doctoral degree obtained must be presented before you can take up the position. We will prioritise candidates with academic work on the impact of AI-based information systems.

Desired requirements:

  • Research experience within inter-disciplinary areas of digital technology with a strong focus on AI.
  • Peer-reviewed publications in top venues within relevant areas.

Applicable to all:  

You must document relevant basic competence in teaching and supervision at a university/higher education-level, as referenced in the Norwegian national Regulations. If this cannot be documented, you will be required to complete an approved course in university pedagogy within two years of commencement. NTNU offers qualifying courses. 

New employees who do not speak a Scandinavian language by appointment is required, within three years, to demonstrate skills in Norwegian or another Scandinavian language equivalent to level three of the course for Norwegian for speakers of other languages at the Department of Language and Literature at NTNU.  

Preferred qualifications

  • Teaching experience from higher education
  • Documented international research collaboration
  • Documented research collaboration with the energy sector
  • Documented experience in AI-based research and development within the energy sector
  • Proficiency in Norwegian language skills, or another Scandinavian language, will be rated positively

Personal qualities

  • Good communication and collaboration skills
  • Communicates information with clarity and ease, both orally and in writing
  • Prefers cooperation to individual or competitive work, shares responsibility and helps the group to get the job done
  • Good relationship with students
  • Strong motivation to contribute to good working and social environment
  • Result-oriented

Emphasis will be placed on personal and interpersonal qualities.

We offer 

Application Process

You can find more information about working at NTNU and the application process here.

Salary and conditions

In the position as an Associate Professor / Professor (code 1011 /1013), you will be paid according to agreement in the salary policy and will depend on qualifications and seniority. As required by law, 2% of this salary will be deducted and paid into the Norwegian Public Service Pension Fund.

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. 

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

About the application

Your application and supporting documentation must be in English.

Publications and other scientific work must follow 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.

If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.

Your application must include:

  • CV, diplomas, and certificates
  • A motivation letter/statement of purpose (max. 3 pages).
  • A research plan detailing your theoretical and empirical approach to Sustainable Digital Transformation and Responsible AI (3 - 5 pages)
  • A teaching portfolio, in which your teaching competence is compiled and presented systematically,   (See guidelines for applicants: Documentation of teaching qualifications in applications and appointments to academic positions at NTNU)
  • Academic works – published or unpublished – that you wish to be considered during assessment of your application (up to 10 items)
  • A description of the scientific you consider most relevant, which you particularly wish to be factored into the assessment
  • A list of your previous works, with details on where they have been published
  • Details of projects for which you have served as project manager, including information on financing, duration, and scope
  • Names and contact information for three relevant referees

You are encouraged to use the Universities Norway’s NOR-CAM toolbox as a guide for  documentation of your competence.

Joint work will also be considered. If it is difficult to identify your specific input to a joint project, you must include evidence of your contributions, as a guide for documentation of your competence.

In the evaluation of which candidate is best qualified, emphasis will be placed on education and research, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. Our assessment of the pedagogical skills will be based on documented pedagogical material, forms of presentation in your academic works, teaching experience, PhD, and Masters supervision, and any other relevant pedagogical background. Both quality and scope will be taken into consideration, and an open scientific practice will be recognized.

NTNU is obliged by the evaluation criteria for research quality in accordance with The San Fransisco Declaration on Research Assessment – DORA and The obligations in the Coalition for Advancing Research Assessment ( CoARA) on responsible assessment of research and recognition of a  wider range of academic contributions to science and society. This means that we will pay particular attention to the quality and academic range demonstrated by your scientific work to date. We will also pay attention to research leadership and participation in research projects. Your scientific work from the last five years will be given the most weight.

Your application will be considered by an expert committee. Candidates of interest will be invited to an interview, and to deliver a trial teaching session.

General information

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.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality

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 continually maintain and improve your professional development and be flexible regarding any organizational changes.

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.

For the sake of transparency, candidates will be given the expert evaluation of their own and other candidates. As an applicant you are considered part of the process and is stipulated to rules of confidentiality.

If you have any questions regarding the position, please contact Head of department, Heri Ramampiaro, e-mail .
If you have questions regarding the recruitment process, please contact HR, 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: 03.06.2024


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 .

Deadline 3rd June 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Permanent
Place of service Sem Sælandsvei 9, Gløshaugen, 7034 Trondheim

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