Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Faculty of Business Administration - Munich School of Management - Institute for Financial Innovation & Technology Remuneration group TV-L E13 Full-time / Part-time Full-time (100%) Start date Based on mutual agreement but should be no later than April 2027. The position is initially offered for three years with a possibility of extension.

About us:

The Institute for Financial Innovation & Technology at LMU Munich School of Management conducts rigorous, relevant and exciting academic research and teaching in the domain of financial innovation and technology. We cover topics in market microstructure, high frequency capital markets and technology, cryptocurrencies, blockchain economics, financial data science and the application of machine learning techniques in a financial context. We present our research at international conferences and publish in leading journals, offering access to the national and international academic job market while collaborating with the (local) FinTech industry. Our team welcomes new members in a dynamic, international and academically stimulating environment.

We are looking for you:

Research and Teaching Assistant (m/f/x)

in Munich

Your tasks and responsibilities:

The ideal candidate will take on a research role quickly. As the seventh Research Assistants of the newly found institute, you will be able to work independently and collaboratively with the research staff of the institute while writing papers publishable in top finance journals. With your teaching and research, you work towards the completion of a German PhD degree. The mandatory teaching obligation comprises 5 semester hours per week.

Your qualifications:

You hold an excellent academic record and a completed Master degree in Finance, Management, Business Administration, Economics, Informatics, Math, Computer Science, or a related field. You are familiar with empirical methods and understand how to interpret the results of statistical analyses. You are intellectually curious, possess strong analytical capabilities, and are a competent programmer in Python and/or R. You complement our team with strong organizational skills, are proactive and goal-oriented, able to work both independently and collaboratively, and possess excellent English skills (written and oral).

Benefits:

• An international, multidisciplinary doctoral programme at a world-class research institution
• A wide range of transferable skills workshops, seminars, and career development opportunities
• Financial support for conferences and scientific events
• A vibrant student community at LMU
• Excellent training and support in a motivated, international team
• Participation in collaborative and interdisciplinary research projects
• Excellent infrastructure and core facilities
• Free parking and good public transportation connections
• Numerous LMU employee benefits, e.g. discounted fitness and cultural offers, job public transport ticket, Jobbike etc.
• The remunaration is based on the German public sector pay scale (TV-L)

We welcome applications from all backgrounds. The promotion of diversity is an important strategic goal at our institute.

Also possible in a part-time capacity.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

Please submit your complete application including all relevant documents (statement of motivation limited to one page, curriculum vitae, degree certificates and transcripts, as well as other relevant materials) until 30.11.2026 via E-Mail (single PDF, max. 10 MB) to . Interviews are scheduled to be held in December 2026.

Where knowledge is everything.

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech.

In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our . By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München