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Sebastian Müller

4 days ago

Research Fellow (PhD Candidate) in Finance at Technische Universität München (TUM) Technische Universität München (TUM) in Germany

I am offering a PhD position in Finance at the Technical University of Munich under my supervision.

Technical University of Munich (TUM)

Germany

Jan 15, 2026

Keywords

Information Technology
Mathematics
Finance
Empirical Research
Business
Management
Asset Management
Sustainable Finance
Teaching And Learning
Behavioral Finance
Economics
Mathematical Economics
Statistics
Business Economics
Information Systems

Description

The Technical University of Munich (TUM) is inviting applications for a Research Fellow (PhD Candidate) in Finance at the Center for Digital Transformation, TUM Campus Heilbronn, within the TUM School of Management. This full-time position (TV-L E13, 100%) offers a fixed term of three years, with the possibility of extension, and provides the opportunity to pursue a doctoral degree under the supervision of Prof. Dr. Sebastian Müller.

The successful candidate will join a dynamic research team that publishes in top-tier journals such as the Journal of Finance, Journal of Financial Economics, and Review of Financial Studies. The Center for Digital Transformation is a vibrant hub connecting leading scholars in marketing, finance, and operations, with over 20 doctoral researchers and five professors. TUM School of Management is renowned for its excellence in Economics and for bridging Management and Technology in an international academic environment.

Research areas for this position include Asset Pricing, Asset Management, Behavioral Finance, Digital Finance, and Sustainable Finance. In addition to research, the fellow will contribute to teaching activities and participate actively in the Doctoral Program of the TUM School of Management. Collaboration on third-party funded research projects is also expected.

Applicants should have completed or be close to completing a Master’s degree or equivalent in Management/Business, Economics, Business Mathematics, or Information Systems. The ideal candidate will have a strong enthusiasm for high-quality, innovative empirical research in Finance, intellectual curiosity, and a desire to pursue an academic career. Strong statistical training and quantitative research methods are required, and experience with programming languages such as R, Python, Stata, or Matlab is highly desirable. Candidates should demonstrate the ability to work independently and collaboratively, possess excellent interpersonal and organizational skills, a superior academic track record, and excellent English language skills (written and spoken).

The position offers a stimulating, multi-disciplinary research environment with access to excellent resources, participation in international conferences, academic workshops, and PhD-level courses, and a supportive international scientific network. The workplace is located in Heilbronn, one of Europe’s most innovative high-tech regions, offering a vibrant city life and attractive living conditions. TUM is committed to diversity and encourages applications from qualified female candidates and candidates with disabilities.

Remuneration is based on the collective wage agreement of the federal states (TV-L E13), depending on qualifications. The position can be filled on a part-time basis if required.

To apply, prepare a single PDF containing a short cover letter, CV with final undergraduate and graduate degree grades, and academic transcripts. Send your application to [email protected] with the subject line 'Finance' by January 15, 2026. For questions, contact Ms. Corina Häußermann at the same email address. Please review the TUM privacy policy at this link before submitting your application.

Funding

Available

How to apply

Prepare a single PDF containing a short cover letter, CV with final undergraduate and graduate degree grades, and academic transcripts. Email your application to [email protected] with the subject line 'Finance' by January 15, 2026. For questions, contact Ms. Corina Häußermann at the same email address. Review the TUM privacy policy before submitting.

Requirements

Applicants must have completed or be close to completing a Master’s degree or equivalent in Management/Business, Economics, Business Mathematics, or Information Systems. Candidates should demonstrate strong enthusiasm for empirical research in Finance, possess intellectual curiosity, and have an interest in an academic career. Strong statistical training and quantitative research methods are required. Experience with programming languages such as R, Python, Stata, or Matlab is highly desirable. Applicants must be able to work independently and collaboratively, have excellent interpersonal and organizational skills, a superior academic track record, and excellent English language skills (written and spoken).

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