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Phd student in using ai for (qualitative) research 100%

Bern
Festanstellung
Studentenjob
Institut für Medizinische Lehre, Universität Bern
Hilfsarbeiter
Inserat online seit: 28 Januar
Beschreibung

Overview

The Institute for Medical Education (IML) is a center of excellence in medical education. As a university institution, we work in the fields of research, teaching, service and development and supervise projects at the cantonal, national and international level. The IML website: https://www.iml.unibe.ch/

This PhD Student post is part of the project “LLM4Humans - Empowering humans with local Large Language Models (LLM) in research and clinical practice” which is a collaboration project of the IML with the Department of Clinical Research Bern (DCR) https://dcr.unibe.ch/.

We are seeking to fill the following position immediately or upon agreement for a period of four years:

PhD Student in using AI for (qualitative) research 100%


Responsibilities

* Evaluate existing local and online Large Language Models (LLMs) and develop guidance for using these LLMs for analyzing qualitative research data.
* Use interviews and data science methodologies to investigate and compare the analysis of qualitative data by humans and LLMs.
* Execute and disseminate four scientific studies (incl. publications) under supervision


Qualifications

* University degree in psychology, cognitive, social or data sciences or medicine
* Methodological knowhow (preferably in qualitative research methods and/or large language models/data sciencies)
* Profound knowledge of English both written and spoken
* Interest and motivation to engage in this innovative field
* Flair for scientific writing
* Good team working skills
* German language skills are of advantage


We offer

* Excellent supervision and collaboration in a motivated, interdisciplinary team consisting of qualitative research experts, data science experts, Post-Docs and PhD students
* Great deal of flexibility
* Fully funded further education as part of the PhD project in the Graduate School for Health Sciences Bern, https://www.ghs.unibe.ch/
* Established academic infrastructure (language editing, statistical support, administrative sup-port, etc.).
* Remuneration in accordance with the guidelines of the Swiss National Science Foundation (SNF, https://www.snf.ch)
* Main supervisor will be Prof. Sören Huwendiek from the IML

For questions, please contact Sören Huwendiek, MD, PHD, MME: soeren.huwendiek@unibe.ch

Please send your application with the usual documents electronically to kontakt.iml@unibe.ch by the end of February 2026 at the latest.

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