Postdoc in data Quality for Responsible AI in Energy Systems

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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded by NordForsk, led by Professors Irina Shklovski and Laura Watts. The researcher’s duties will be to manage and conduct in-depth qualitative research that explores how organisational actors, such as companies and regulators, understand and sociotechnically construct ’data quality’ in energy systems, both now and in the green transition future. The postdoc should, ideally, have experience of critical data studies and both qualitative (e.g. interviews or ethnographic methods) and quantitative data analysis. This postdoc is an opportunity to collaborate in an international Nordic project with external partners across science and technology studies, political sociology, computer science, and engineering.

The postdoc’s duties will also include some teaching and supervision.

Further information on the Department is linked at di.ku.dk . Inquiries about the position can be made to Irina Shklovski, iasdi.ku.dk and Laura Watts, lwhum.ku.dk .

The position is open from 1 September 2026 or as soon as possible thereafter.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Place of employment
The position will be within the Human Centered Computing section (HCC) at the Department of Computer Science, in collaboration with the Center for Applied Ecological Thinking (CApE) at the Department of Cross-Cultural and Regional Studies. The Human Centered Computing section is a highly interdisciplinary group that conducts research within the areas of Human-Computer Interaction, Critical Computing, Educational Technologies, Computer Supported Cooperative Work, Ubiquitous and Pervasive Computing and related topics. Our section is one of top research environments that bridges technology, theory, and empirical studies. We regularly publish at top ACM conferences and HCI journals, in interdisciplinary venues such as the Big Data & Society journal as well as across venues in the humanities and social sciences.

Terms of employment
The position is a fixed term of 2 years.

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Profile
We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:

• PhD in HCI, Computer Science, Information Science, Critical Data Studies, Science and Technology Studies or related discipline.
• Highly experienced in qualitative research methodologies and approaches, such as qualitative interviews or ethnographic methods. Also comfortable managing quantitative data (tabular and text) and have some data analysis skills.
• Experience in design practice and participatory design approaches is preferred.
• Experience with data management and machine learning is also preferred.
•  An interest in energy system topics such as the green transition, sustainable energy systems, digital energetics etc. is preferred.
• Experience or an interest in working across disciplines, demonstrating an ability toengage across humanities, social sciences and computer science.
• Proficient communication skills and ability to work in teams is a must. Project management experience is welcome.
• Excellent written and spoken English language is a requirement. Excellent written and spoken Danish language is preferred but not required.

Application procedure
Please upload the following documents

1. Curriculum vitae
2. Diplomas (Master and PhD degree or equivalent)
3. Research plan - description of current and future research plans
4. Complete publication list
5. Separate reprints of 3 particularly relevant papers
6. Names and contact details of three references

The deadline for applications is 10 April 2026, 23:59 CET.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at ?url=https%3A%2F%2Femployment.ku.dk%2Ffaculty%2Frecruitment-process%2F&module=jobs&id=3211844" target="_blank" rel="nofollow">?url=https%3A%2F%2Femployment.ku.dk%2Ffaculty%2Frecruitment-process%2F&module=jobs&id=3211844" target="_blank" rel="nofollow">https://employment.ku.dk/faculty/­recruitment-process/ .

Interviews are expected to be held in early May.

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation - with good working conditions and a collaborative work culture - creates the ideal framework for a successful academic career.

Info

Application deadline: 10-04-2026

Employment start: 01-09-2026

Working hours: Full time

Department/Location: Department of Computer Science

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