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The Chair of Data Science in Economics of the Faculty of Economics is looking for

Research Associates (PhD students)(m,f,x) for 3 years, 25.8895 hours per week, TVL E13

The Chair works on analyses with structured and unstructured data sets, Big Data, Machine Learning, Artificial Intelligence, as well as on research questions on Digital Transformation, Innovation, Regional and Labour Economics and other fields of application in economics.

extent: part-time
duration: temporary
beginning: as soon as possible
application deadline:
22.02.2023

Your tasks:

  •  As successful candidates, you will work on fundamental research projects in Data Science, Digital Transformation, Innovation Economics, Machine Learning and Artificial Intelligence and their impact for the economy and society, or related topics,
  • prepare publications, present your research at international conferences and get engaged in global research networks,
  • teach, supervise and counsel students in the fields of Data Science in Economics and Digital Transformation, in particular,
  • be involved into the activities of the CEIT (Centrum for Entrepreneurship, Innovation, and Transformation),
  • support the Chair with administrative tasks

Your profile:

  • You have very good grades in classes related to Data Science or Empirical Economics, Statistics, Econometrics, Computer Science, Mathematics,
  • a Master degree (M.Sc./ M.A.) in Economics, Data Science, Statistics, Social Sciences, Computer Science, Mathematics, or a related field,
  • you are familiar with different programming languages, in particular with R and/or Python,
  • curiosity-driven, enjoy combining creativity with mathematical precision, and are open to interdisciplinary collaborations,
  • team-oriented, have high organisational and communicational skills, can work independently and pro-actively, and are reliable,
  • fluent in written and spoken English.

Our offerings:

  • The opportunity to take part in doctoral training courses or summer schools, mentor support, career development, support for getting engaged in international conference presentations, research stays and networks, exciting research projects, and an excellent research environment at Bochum, including further competency fields at the Faculty, the Cluster of Excellence CASA and the Max Planck Institute for Security and Privacy
  • Challenging and varied tasks with a high degree of personal responsibility
  • Team-oriented cooperation in a committed, international and appreciative team
  • a friendly and collegial environment
  • Fair and flexible working hours

Additional information:

At the request of the applicant (m,f,x), the staff council may be involved in selection interviews.

The opportunity to work on a doctoral dissertation (PhD thesis) is given.

The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).

The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.


The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

Contact details for your application:

Prof. Dr. Astrid Krenz, Phone: +49234 32 22468

Travel expenses for interviews cannot be refunded.

For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.

ANR: 1468
To apply, please send the following information in an email to astrid.krenz@ruhr-uni-bochum.de until 22.02.2023: 1) Brief cover letter describing your motivation, background and research interests, 2) a detailed CV, 3) transcripts of your courses/ grades from your Bachelor and Master studies, 4) contact details of 2 referees who will write reference letters.


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