项目介绍

2026年9月10日

PhD position

We welcome you as an applicant for a vacant PhD position in Human-AI Interaction (creativity, learning, and artificial intelligence) at SLATE,Faculty of Psychology. The position is a fixed-term appointment for 3 years, associated with the AI LEARN centre and is financed by the Research Council of Norway.

About AI LEARN

AI LEARN is a new national center dedicated to the empowerment of human learning through responsible, human-centred artificial intelligence. In a world where AI systems are reshaping how we learn, work, create, lead, and participate in democracy, our center tackles the promise and peril of hybrid intelligence—humans and machines working and learning together. Our mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. AI LEARN is a consortium of 31 national and international partners from academia and the public and private sectors.

About the project/work tasks:

About the project
This position is linked to a cluster of Ethics, Governance and Regulation. The position offers the opportunity to contribute to cutting-edge research at the intersection of the reconfigurations, practices, networks, and/or collaborations in human-AI constellations.

The PhD supervisors will be Postdoctoral Research Fellow Dr. Anja Salzmann (UiB) and Co-supervisor Prof. Wayne Holmes (University College London, UCL). 

The workplace is Bergen, Norway

About the work tasks:

• Investigate and explore ethical issues (e.g. human dignity, social justice, or human agency, human flourishing) in the context of the political, economic, social, cultural or environmental framings, impacts and consequences of AI (including but not limited to Generative AI) in different learning contexts (e.g., K-12, informal/formal training, vocational or professional development)
• Conduct qualitative empirical research grounded in relevant theory toinform, for example, ethical frameworks (or similar) in policy, professional development, vocational training, curriculum development and pedagogy in a specific learning context.
• Active participation in the activities of AI LEARN and contribute to the life of the Centre

Qualifications and personal qualities:

You must:

• Hold a relevant master’s degree in any of the following disciplinary fields: social sciences, education, science and technology studies (STS), philosophy or other relevant fields, at the time of applying
• Organise dissemination and communication activities within the AI LEARN centre
• Be able to work independently and in a structured manner, and have good collaboration skills
• Possess excellent written and oral English skills

It is an advantage if you:

• Have evidence of a demonstrated interest in the ethical issues raised by AI in learning contexts 

A grade of B or higher on the master’s thesis, or the average grade of the qualifying degree, is normally required for admission to the PhD program at the faculty. Personal qualities will be emphasised. Ambition and potential will also be taken into account in the assessment of candidates.

About the PhD position: 

About the PhD position: The duration of the PhD position is 3 years and is linked to AI LEARN Cluster on Ethics, Governance and Regulation. Applicants must not have previously held a fixed-term appointment as a PhD Research Fellow at the University of Bergen, and must not already have obtained a doctoral degree (PhD).

About the PhD programme: 
As a PhD Candidate, you must participate in an approved educational programme for a PhD degree within a period of 3 years. When your qualification for the position is evaluated, you will also be evaluated for admission to the PhD programme at the Faculty of Psychology. 

You will find further information about the PhD programme at the Faculty of Psychology here. 

We can offer:

• Exciting development opportunities as part of your role in a strong professional environment
• An annual salary of NOK 593 700 before taxes (position code 1017) according to the state salary scale. Further promotions are made according to length of service. A higher salary may be considered if you have a specialist education.
• Enrolment in the Norwegian Public Service Pension Fund
• Good welfare benefits

Your application must include:

• A brief account of your research interests and motivation for applying for the position
• Project proposal (5-8 pages incl. references) 
  • The proposal should present the topic, the research problem(s) and choice of theory and methods. The proposal should also include a progress plan for the different parts of the project. Candidates called in for an interview, will be asked to present their proposal. 
• Confirmation that you have been in touch with the PhD supervisor 
• The names and contact information for two reference persons. One of these must be your main supervisor for your master’s thesis or equivalent thesis. 
• CV
• Transcripts and diplomas (higher education) 
• If you have foreign education, you must enclose certified translations to English or Scandinavian if the original diploma and grade transcripts are not already in one of these languages. 
• Important: If you have foreign education, you must also enclose a confirmation from HK-dir that the education is recognized to be in accordance with a Norwegian master’s degree. The review from HK-dir may take some time and the application should be sent to HK-dir as soon as you have decided to apply for the position. If no answer within the application deadline, please enclose documentation from HK-dir that they have received your application. Certain educational degrees from selected countries have an automatic recognition, please check this website: Automatic recognition – a quicker alternative | HK-dir (hkdir.no). If you found your educational degree here, you must download the automatic recognition and enclose it to your application. 
• Relevant certificates
• A list of any works of a scientific nature (publication list).
• Any publications in your name you want to be included in the evaluation of your application