Research Associate (Doctoral Student) (m/f/x) in Entrepreneurship and Family Enterprise

12.12.2022, Wissenschaftliches Personal

TUM School of Management at TUM Campus Heilbronn invites applications for a Research Associate (m/f/x) at the level of TV-L E13 (public sector pay scale) at the newly founded Global Center for Family Enterprise (Prof. Dr. Miriam Bird). Expected starting date is May 2023 or by mutual agreement. The doctoral student is expected to work and conduct research in the area of entrepreneurship and family enterprise. The position (m/f/x) is limited to 36 months (extension for another 12 months is possible).

About us…
Founded in 2002, TUM School of Management is part of TUM, one of the leading technical universities in the world. TUM was one of the first universities in Germany to be named a University of Excellence. With its strong research environment and close ties to industry, the school constantly scores well in rankings, currently listed as the strongest German business school for research, and #9 in Europe for M.Sc. programs in entrepreneurship. The TUM Campus Heilbronn is a dynamic organization whose goal is to achieve excellence in research, teaching and impact.

We offer…
• the opportunity to work on a PhD thesis in the research area of entrepreneurship and family enterprise (e.g., investigating topics such as entrepreneurial teams) at one of the most prestigious universities in Europe,
• the possibility to get engaged in the international research community and present your work at international conferences and publish your work together with members of the research team in leading journals,
• the possibility to contribute to teaching activities at the Global Center for Family Enterprise,
• provision of training as well as developmental support from experienced scholars and
• active involvement in the Center’s outreach activities and learning how to communicate your research to the general public.

We look for…
• a team player with the ability to work independently with a strong master's degree in management, (organizational) psychology, sociology, finance, economics, business informatics, or related subjects,
• with a strong passion and curiosity for entrepreneurship and/or family business research,
• with a solid knowledge of empirical research (quantitative or experimental) methods,
• with knowledge of statistics and ideally statistical software programs such as Stata, SAS or R,
• proficiency in programming languages (e.g. Python), natural language processing, machine learning are advantageous but not required,
• excellent organizational and oral/written communications skills in English (command of the German language is an asset but not a must) and
• with motivation and commitment in the Global Center for Family Enterprise in research, teaching and knowledge transfer.

Application
Please send a cover letter (specifying a possible starting date), your CV, and relevant university and work certificates in one pdf-file until January 20, 2023 to [email protected].

For further information about this position please contact Ms. Lena Vorsatz ([email protected]). As an equal opportunity employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university. Preference will be given to disabled candidates with essentially the same qualifications. The position can also be filled as a part-time position.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: Lena Vorsatz ([email protected])