Professor in » Data Science for Finance «

vor 2 Monaten

München, Deutschland Technische Universität München (TUM) Vollzeit

W2 Tenure Track Assistant Professor (with tenure track to W3) or W3 Associate/Full Professor; to begin as soon as possible. The professorships are endowed by the Dieter Schwarz Foundation and will be located at the TUM Campus in Heilbronn.

Detailed information about the position can be found here:
Professor in «Data Science for Finance»

Scientific environment
The professorships will be assigned to the TUM School of Management and affiliated with the Department of Finance & Accounting and Operations & Technology respectively. The scientific environment for the professorships will be the TUM Campus Heilbronn. The professorships are targeted to join the Heilbronn Data Science Institute. The school is listed as one of the leading business schools in Germany and internationally. We aim to create a real impact through our research, contributing to solving humanity's greatest challenges. Existing members of the business school regularly publish in top business, economics, and general science journals. An interdisciplinary research environment awaits the successful candidate. The school has close ties to industry.

Responsibilities
Responsibilities include research and teaching, as well as the promotion of early-career scientists. We seek to appoint outstanding scholars in the research areas mentioned above, with an emphasis on the intersection of management science and computer science with a dedicated and strong data science and/or machine learning approach. Teaching responsibilities include courses in the university's bachelor's and master's programs. A firm commitment to the Heilbronn Data Science Institute and active involvement in its build-up phase are greatly appreciated.

Qualifications
We are looking for candidates who have demonstrated excellent achievements in research and teaching in an internationally recognized scientific environment relative to the relevant career level (please see for further information).
A university degree, an outstanding doctoral degree or equivalent scientific qualification, and pedagogical aptitude are prerequisites. Substantial research experience abroad and a scientific expertise in the respective fields are expected, proven by publications in leading international journals. We specifically value a proven ability to gain and lead cooperative research projects and to attract third-party funding (DFG, EU, AiF).

Our Offer
Based on the best international standards and transparent performance criteria, TUM offers a merit-based academic career path for tenure track faculty from Assistant Professor through a permanent position as Associate Professor and on to Full Professor. The regulations of the TUM Faculty Recruitment and Career System apply. TUM provides excellent working conditions in a lively scientific community, embedded in the vibrant research environment at Bildungscampus Heilbronn, and close interaction with family-owned firms in the region. Services and core facilities will be shared in a center model. The TUM environment is multicultural, with English serving as a common interface for scientific interaction. TUM offers attractive and performance-based salary conditions and social benefits. The TUM Dual Career Office (MDCO) provides tailored career consulting to the partners of newly appointed professors and assists in the relocation and integration of new professors, their partners, and accompanying family members.

Your Application
TUM is an equal-opportunity employer and explicitly encourages applications from women. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude, and professional performance. Application documents should be submitted in accordance with TUM's application guidelines for professors. These guidelines and detailed TUM Faculty Recruitment and Career System information are available at . Here, you will also find TUM's information on collecting and processing personal data as part of the application process.

Please submit your application by 30 October 2024 via the TUM recruitment portal:

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