Professor Open Rank in Data Science f/m/d | Full-time (100%)
What you can look forward to:
- Needs-oriented balance between work and private life through flexible working models with opportunities for mobile working as well as an above-average number of vacation days and our BusinessBike offer
- „We, not ME" - a particularly collegial, team-oriented working atmosphere, open and honest communication
- "Can-do spirit". We are looking for people who assume responsibility in a positive way
- Inspiring working environment with room for innovative thinking and action - ideas for change are welcome
- Flat hierarchies and short decision-making channels
- A uniquely active company network and a strong partnership with our alumni association
Your responsibilities:
- Conduct high-impact, original research in data science, statistical/machine learning, or related fields, with applications to business problems and secure external funding to support research initiatives.
- Develop and deliver courses in machine learning, statistical learning, and related areas at the undergraduate, graduate, and executive education levels.
- Mentor and advise students, guiding them in academic and career development.
- Participate in departmental service and administrative tasks as required and engage with the business community to foster partnerships and collaborations.
Your profile:
- A Ph.D. in Computer Science, Statistics, Econometrics, or related fields.
- A strong record of scholarly achievement, including publications in top-tier field journals. Experience in securing research funding is highly desirable. Industry experience or collaboration with the business community is a plus.
- Demonstrated excellence in teaching at the university level.Expertise in data science methodologies, including machine learning, AI, big data analytics, and statistical learning and modeling. Proficiency in relevant programming languages such as R, Python and SQL (a plus). International applicants are welcome.
Become a part of our team and apply ONLINE quoting the reference number 13999 to:
EBS Universität für Wirtschaft und Recht | Personalabteilung | Monika Richter
Further information about the position can be obtained by contacting Professor Dr. Mehdi Hosseinkouchack at mehdi.hosseinkouchack@ebs.edu

I'm happy to help.
We are looking for the best. In this, we pay special attention to personality, talent, willingness to achieve and character.
We emphasize expressly that all people - regardless of gender, nationality, ethnic and social origin, religion/ideology, disability, age and sexual identity - are all equally welcome here. Applicants with disabilities who have equal professional and personal aptitude will be given priority and/or training.
Become part of our team and apply ONLINE, indicating the earliest possible availability (reference number 13999).
Apply nowEBS - Pioneer in practical and international education
EBS Universität für Wirtschaft und Recht is one of the leading private business universities with its campus in Oestrich-Winkel in Germany. Currently, 2,200 students and doctoral candidates study and research at the EBS Business School, the EBS Law School and the EBS Executive School. More than 300 employees aim to educate students to become responsible decision-makers and support their personal development. EBS stands for excellence in research and teaching, a strong network and internationality. With its continuing education programme, EBS supports specialists and managers from the business world. We are part of SRH – a leading provider of educational and healthcare services with 17,000 employees. SRH operates private universities, academic centers, schools and hospitals.