Postdoctoral Researcher in Marketing (AI & Synthetic Data) 80-100%
myScience
Basel
Key information
- Publication date:30 October 2025
- Workload:80 – 100%
- Place of work:Basel
Job summary
Exciting opportunity at the University of Basel! Join our team in innovative research.
Tasks
- Design and implement LLM pipelines for synthetic data.
- Plan and analyze survey experiments for validation.
- Develop industry collaborations and publish findings.
Skills
- PhD in relevant field with strong statistical and Python skills.
- Experience with LLMs and API integration preferred.
- Fluent in English, with a focus on survey research.
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Postdoctoral Researcher in Marketing (AI & Synthetic Data) 80-100%
Workplace Basel - North West Switzerland - Switzerland CategoryEconomics
Position Senior Scientist / Postdoc
Published 29 October 2025 Closing Date 30 November 2025 Postdoctoral Researcher in Marketing (AI & Synthetic Data) 80-100%
Join the Marketing Group at the University of Basel to advance research on synthetic data. In an Innosuisse project with Boomerang Ideas, SBB, and gfs.bern, 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, andrea.bublitz@ unibas.ch .
Apply
www.unibas.ch')
In your application, please refer to myScience.ch and referenceJobID68633.
