Research Fellow (PhD candidate) in Finance (m/f/d)

at the Center for Digital Transformation, TUM Campus Heilbronn, TUM School of Management
(Pay group TV-L E13, 100%)

We are currently seeking a highly motivated Research Fellow (PhD Candidate) in the field ofFinanceto join the team of Prof. Dr. Sebastian Müller atTUM Campus Heilbronn. This position is available immediately and is fixed for a term of 3 years, with the possibility of extension. As part of this role, candidates will have the opportunity to pursue a doctoral degree. In addition to research, the fellow will also take on teaching responsibilities.

About us

Our team publishes research in top-tier journals such as theJournal of Finance, theJournal of Financial Economicsand theReview of Financial Studies. We are part of theCenter for Digital Transformation, a hub connecting leading marketing, finance, and operations scholars with over 20 doctoral like-minded scholars and five professors. We are located at the TUM School of Management at the TUM Campus in Heilbronn, a vital part of theTechnical University of Munich, ranked among the top universities in Europe. Being one of the best faculties in Economics in Germany, the TUM School of Management is building a unique bridge between Management and Technology within an international teaching and learning environment.

Your tasks…

• Conduct research under the supervision of Prof. Dr. Sebastian Müller, with a focus on one or more of the following areas: Asset Pricing, Asset Management, Behavioral Finance, Digital Finance, and Sustainable Finance
• Contribute to the teaching activities at the Center for Digital Transformation at TUM Campus Heilbronn
• Actively participate in the Doctoral Program of the TUM School of Management
• Support and collaborate on third-party funded research projects

Your profile...

• Completed (or close to completing) a Master’s degree or equivalent in Management/Business, Economics, Business Mathematics, or Information Systems.
• Strong enthusiasm for conducting high-quality, innovative empirical research in Finance
• Intellectual curiosity and an interest in pursuing a career in academia
• Strong statistical training and quantitative research methods
• Experience with programming languages such as R, Python, Stata, or Matlab is highly desirable
• Ability to work independently as well as collaboratively within a research team
• Excellent interpersonal and organizational skills
• Superior academic track record
• Excellent English language skills, both written and spoken

We offer...

• A stimulating, dynamic and multi-disciplinary research environment with access to excellent resources
• A diverse and demanding job within a modern and prestigious university environment
• The opportunity to work at the intersection of Management and Technology
• A workplace at TUM Campus Heilbronn, located in one of Europe’s most innovative high-tech regions, characterized by strong family-owned companies. The vibrant city combines imperial history with modern life, offering an attractive place to live and work.
• Participation in international conferences, academic workshops, and PhD-level courses
• A supportive and vibrant international scientific network
• A full-time position (part-time arrangements possible)

TUM is committed to increasing the representation of women in its workforce and strongly encourages applications from qualified female candidates. Candidates with disabilities will be given preference in the case of equivalent qualifications. The position can also be filled on a part-time basis. Remuneration is based on the collective wage agreement of the federal states (TV-L E13), depending on qualifications.

Application Process

Please apply by sending one PDF containing (a) a short cover letter, (b) a CV indicating your final undergraduate and graduate degree grades, and (c) academic transcripts to support those grades, providing insights into your coursework. Please send your applicationby January 15, 2026to[emailprotected], with the subject line: “Finance”. If you have any questions, please contact Ms. Corina Häußermann ([emailprotected]).

Data Protection

As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) athttps://portal.mytum.de/kompass/datenschutz/Bewerbung. By submitting your application, you confirm to have read and understood the data protection information provided by TUM.