Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Brunswick
- Working Model
- Onsite
Job Summary
In this position, you will develop modern data science methods for analyzing economic issues and teach students through practical, innovative learning formats.
Your role in the team
- The Chair of Data Science in Business and Finance is based at the Institute of Financial Economics within the Carl Friedrich Gauß Faculty and is integrated into the business administration degree programs of the department.
- In teaching, the professorship is involved in the Bachelor's and Master's degree programs in Technology-Oriented Management, Business Informatics, Industrial Engineering, as well as Financial and Business Mathematics.
- Furthermore, participation in the English-language Master's program in Data Science is planned.
- The applicant should be capable of training students from various disciplines with heterogeneous methodological backgrounds in quantitative and data science methods for economic science applications.
- The responsibilities of the professorship include research and teaching in the field of Data Science in Business and Finance.
- The focus is on the development and application of modern data science methods for analyzing economic questions, with a willingness to also apply these to financial economic issues.
- The ability to develop data-driven analysis and decision-making procedures for economic science problems and to transfer them to financial issues is expected.
- Possible research areas include, for example, the application of machine learning methods in economic analysis and decision-making processes, including current developments (e.g., generative AI), analysis of structured and unstructured data (e.g., financial data, text data, regulatory documents), development of data-driven forecasting and decision models, and consideration of regulatory, ethical, and societal frameworks in the use of data science.
- Applications from candidates with data science expertise in economic science application fields are explicitly welcome; a willingness to apply this expertise to financial economic issues is expected.
- The professorship should actively participate in interdisciplinary collaboration within the Department of Economics and with neighboring disciplines, particularly Computer Science and Mathematics, and contribute to the further development of the research focus on Data Science at TU Braunschweig.
- The successful candidate (m/f/d) is expected to engage in the university's strategic topics and actively contribute to the holistic development of the university.
- In addition to the traditional areas of a university's activities (research, teaching and studies, transfer, governance, and administration), this particularly concerns digitalization, internationalization, equality and diversity, as well as knowledge exchange.
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Our expectations of you
Qualifications
- Strong research focus in the field of Data Science in economics, particularly with regard to economic applications.
- Initial visible research contributions in the field of data science methods, e.g., in the form of publications.
- A clearly identifiable independent research profile with relevance to current developments in the field of Data Science and quantitative economic research.
- Willingness to apply data science methods to financial questions and to develop corresponding research focuses.
- Potential for securing third-party funding and willingness to participate in interdisciplinary research projects.
- Willingness to participate in foundational teaching as well as to develop innovative teaching formats, especially in the field of data-intensive applications.
- Ability and willingness to collaborate interdisciplinarily within the Faculty of Economics and Business Administration as well as with neighboring disciplines (e.g., Computer Science, Mathematics).
- International compatibility in research and teaching, including the ability and willingness to offer courses in English.
- Individual career paths as well as the impact of caregiving and nursing periods on the academic career and publication performance of applicants (m/f/d) are taken into account by the appointment committee.
Experience
- Teaching experience or proven didactic aptitude, especially in quantitative or data science teaching formats at the undergraduate and master's level.
- International experience in teaching and research, excellent command of the English language, as well as the ability and willingness to offer courses in English, are expected.
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What we offer
- This is a fixed-term full-time position.
- Part-time employment can be arranged upon request.
- The employment is initially for a period of three years, subject to the fulfillment of the general civil service legal requirements, in a temporary civil servant position.
- If the interim evaluation according to § 30 Abs. 4 S. 2 NHG is successful, the professorship will be extended for another three years.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
TU Braunschweig
Technische Universität Braunschweig stands for a strategic and achievement-oriented way of thinking and acting, dedicated teaching, multi-layered networking with our partners in science, industry and society, and intensive international cooperation projects. Our core research fields are mobility, infections and therapeutics, metrology and the city of the future.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Education System, Science, Research
Junior Professorship for Data Science in Business and Finance
- Location
- Brunswick
- Working Model
- Onsite
- Diversity
- Open for all genders
