Postdoc announcement - data quality in energy systems

[Francis Lee]

Vidarebefordrat mejl:

Från: Irina Alex Shklovski <i...@di.ku.dk>

Ämne: Postdoc announcement - data quality in energy systems

Datum: 3 mars 2026 10:21:48 CET

Till: Katherine Harrison <katherine...@liu.se>, H Devinney <hannah....@liu.se>, Ericka Johnson <ericka....@liu.se>, "miriah...@liu.se" <miriah...@liu.se>, Francis Lee <fra...@francislee.org>

Dear Linköping people and Frances 😊

 

Laura Watts and I are looking have a 2-year post-doc position at the University of Copenhagen in the department of computer science, working with both of us on our new NordForsk project on data quality in energy systems.

https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=3010&departmentId=19976&ProjectId=157056&MediaId=4917&SkipAdvertisement=false

 

We are looking for someone with interest in critical data studies and energy systems. Some technical background would be great, experience with qualitative research is a must. If you have anyone that you might think of or if you could forward this announcement to any PhD lists, we would very very much appreciate it!

 

Thanks!

 

Irina

 

***********************

Irina Shklovski

Professor of Communication and Computing

Department of Computer Science

University of Copenhagen

 

WASP-HS Guest Professor

Department of Thematic Studies, Gender Studies (TEMA GENUS)

Linköping University

 

http://miswritings.org 

 

Coordinator VIRT-EU project: https://www.virteuproject.eu/servicepackage/ 

Co-PI DCODE project: https://dcode-network.eu/

 

Recent publications:

Rattay, S., Vakkuri, V., Rozendaal, M. C., & Shklovski, I. (2025). "Why do we do this?": Moral Stress and the Affective Experience of Ethics in Practice. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-15).

Jones, M., Griffioen, N., Neumayer, C., & Shklovski, I. (2025). Artificial Intimacy: Exploring Normativity and Personalization Through Fine-tuning LLM Chatbots. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-16).

Warren, G., Shklovski, I., & Augenstein, I. (2025). Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-21).

Rossi, L., Harrison, K., & Shklovski, I. (2024). The Problems of LLM-generated Data in Social Science Research. Sociologica, 18(2), 145-168. https://doi.org/10.6092/issn.1971-8853/19576