Join the Marketing Group at the University of Basel to advance research on synthetic data. In an Innosuisse project with Boomerang Ideas, SBB, and, you will collaborate with Dr. Andrea Bublitz to develop and validate LLM-assisted pipelines that reduce data-collection costs while maintaining validity for marketing and opinion research.
Your position
* Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering).
* Plan and analyze survey experiments to validate LLM outputs.
* Develop field studies with industry partners.
* Publish in peer-reviewed outlets; present at international conferences.
* Enjoy protected research time to pursue independent research interests.
Your profile
* Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python; fluent English.
* Preferred: experience with LLMs (open/closed source), API integration, fine-tuning/RAG; survey/experimental research.
We offer you
* A fully-funded position for two years, with possibility of further extension.
* A research-industry network with access to unique datasets and real-world cases.
* Freedom and support for independent projects, conferences, and training.
* An attractive workplace in Basel; employment per the University of Basel regulations.
Application / Contact
Apply by 30 November 2025: Cover letter, CV (including full list of publications), Dissertation (or a relevant publication), 1-2 personal references (letter or contact details)
For further information, contact: Dr. Andrea Bublitz, Marketing, University of Basel,
Apply