项目介绍

2026年9月17日

About the position

We are inviting applicants for one PhD position within Information Systems research at the Department of Computer Science (IDI).

Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.

We are seeking talented and self-motivating master graduates with commitment to in-depth empirical studies on the topic of digital transformation in practice. The position will be affiliated with IDI’s research group on Applied Information Technology (AIT).

The fellowship will be part of our research on digital transformation from a sociotechnical perspective, which highlights the interaction between technological development and organizational processes and concerns. The aim of the fellowship is to contribute original knowledge and valuable insights into this dynamic relationship going beyond mere technological promises and managerial visions when it comes to digital transformation. More specific, the fellowship will focus on digital workplace transformation and seek to examine the interplay between work practices and digital transformation, and how this can be facilitated and managed. Central topics of investigation will include digital transformation, use of artificial intelligence (AI), user agency and empowerment, digital workplace and work, new ways of working, and other related topics.

The PhD candidate is expected to conduct in-depth empirical investigations into development, implementation, and/or use of digital technologies in specific organizations. The fellowship’s primary research strategy will involve qualitative empirical methods, such as interviews, focus groups and observations.

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

Your immediate leader will be the group leader of AIT.

Duties of the position

• Complete the doctoral education until obtaining a doctorate
• Plan and conduct empirical research in organizations under supervision
• Take lead in writing research papers under supervision
• Comply with the PhD training program of the Faculty
• Be part of and contribute to the local research group

Be prepared for changes to your work duties after employment.

Required selection criteria

• You must meet the requirements for admission to the faculty´s doctoral program, see Section 6-1 of the PhD regulations for more information.
• You must have a relevant Master’s degree in information systems, or in management, organization theory, sociology, or science and technology studies with particular emphasis on digitalization. 
• You must have a strong and relevant academic background from your previous studies and have an average grade from your Master’s degree study, or equivalent education, which is equal to B or better compared to NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer-reviewed academic works.
   

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.

Preferred selection criteria

• Working knowledge of sociotechnical perspective 
• Experience with qualitative research 
• Excellent English written and oral skills 
• Knowledge of a Scandinavian language is highly desired, but not required 

Personal characteristics

To complete a doctoral degree (PhD), it is important that you are able to: 

• Work independently
• Work in a structured way, set goals and make plans to achieve them
• Present and discuss your research with other professionals
• Get involved and contribute constructively with feedback
• Work constructively under pressure or in the face of adversity 
• Show curiosity and a strong motivation for the subject
• Analyze data, assess different perspectives and draw well-founded conclusions 
• Be flexible and open to adjusting the plan for the project as needed
   

Emphasis will be placed on personal qualities.