enter for Mathematical Economics (IMW) at the Faculty of Business Administration and Economics
Research Positions (12 positions) in the Research Training Group "CUDE"
The Center for Mathematical Economics (IMW) at Bielefeld University is offering 12 doctoral positions The positions are allocated to the Research Training Group 'Coping with Uncertainty in Dynamic Economies' (CUDE) and doctoral researchers will become fellows in a structured doctoral program, the Bielefeld Graduate School of Economics and Management (BiGSEM).
The newly established Research Training Group CUDE is concerned with a new subfield in economic theory that merges two features central to current and future economies: uncertainty and dynamics. Here, uncertainty is understood in the sense of Frank Knight, in that decision makers struggle to assign reliable estimates of probabilities to future events. This Knightian uncertainty is widely believed to capture our world's mega trends such as climate change, energy crisis, migration, pandemics, and technological development. Its analysis has been a central research topic in decision theory for the last two decades, and increasingly in microeconomic theory more generally, currently being explored at research centers around the world. As main innovation of our program, we seek to explore the implications of uncertainty in dynamic economies, which is vastly understudied at present but critical to answer the economic questions raised by the aforementioned mega trends. For more information, visit the Website.
We emphasize that the Research Training Group also offers its doctoral researchers a variety of qualification programs as well as comprehensive preparation for the academic job market, thus ensuring the basis for an academic career.
The research tasks (95 %) take place in innovative and challenging scientific projects, they include in particular:
- involvement in innovative and demanding scientific projects
- documentation, publication and presentation of research results
- participation in CUDE events, such as summer schools, retreats, and workshops
Other tasks (5 %) include:
- participation in the academic self-administration and in the processing of the departments research projects
Employment is conducive to scientific qualification.
- salary according to Remuneration level 13 TV-L
- fixed-term (4 years) (§ 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)
- part-time 75 %
- internal and external training opportunities
- variety of health, consulting and prevention services
- reconcilability of family and work
- job ticket for regional public transport network, good transport connection
- supplementary company pension
- collegial working environment
- open and pleasant working atmosphere
- exciting, varied tasks
- modern work environment with digital processes
- various offers (canteen, cafeteria, restaurants, Uni-Shop, ATM, etc.)
- scientific academic degree (Master or equivalent) in economics, mathematical economics, finance, or related fields (e.g., Mathematics, Statistics) with a strong background in economic theory, statistics, or applied mathematical methods
- intention to pursue a doctoral degree in the context of the Bielefeld Graduate School of Economics and Management (BiGSEM), enrollment and active participation in the BiGSEM is required for this position
- independent, diligent and dedicated style of work
- strong organizational and coordination skills
- cooperative and team-oriented working style
- very good oral and written English language skills
- interdisciplinary experience
- analytical thinking
- interest in topics relevant to the research orientation of the RTG (for further information visit: https://www.uni-bielefeld.de/zwe/imw/cude/). Please indicate in your application, which topics are of particular interest to you.
We are looking forward to receiving your application. For full consideration, your application should be received via either email (a single PDF document is required) sent to email@example.com or
post (see postal address). Please mark your application with the identification code: Wiss23261. Please note that the possibility of privacy breaches and unauthorized access by third parties cannot be excluded when communicating via unencrypted e-mail. For Information on the processing of personal data click here
application deadline: 15.06.2023