Full Professor of Machine Learning Foundations

WU Vienna University of Economics and Business

Organisation/Company WU Vienna University of Economics and Business Department Finance, Accounting and Statistics Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4) Positions Postdoc Positions Country Austria Application Deadline 16 Jul 2025 - 23:59 (Europe/Vienna) Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

WU is currently inviting applications for the position of a full professor [1] of Machine Learning Foundations at the Department of Finance, Accounting and Statistics. Candidates are expected to have established an international reputation as a researcher in their field. Depending on the candidate’s academic credentials, the employment contract can be concluded either as a permanent employment contract or as a fixed-term employment contract with the option of a permanent extension. [2]

WU Vienna University of Economics and Business combines excellence with responsibility.
Its rare triple accreditation by EQUIS, AACSB, and AMBA is a guarantee for the highest quality research and teaching in the fields of business, economics, and business law. WU’s research is characterized by a wide diversity of disciplines practiced at WU, allowing researchers to address complex research questions based on approaches that cross disciplinary boundaries.

International cooperation is very important to WU, and we encourage and support both faculty and student mobility. WU is also very aware of its role as a responsible university, ensures barrier-free accessibility, provides a family-friendly workplace, and is committed to the principles of equitable opportunities and sustainability.

WU is committed to diversity and inclusion, and qualified women are strongly encouraged to apply. In case of equal qualification, female candidates will be given preference. Applicants with disabilities will be supported during each stage of the recruitment process. Candidates’ qualifications will be assessed in the context of their academic age.

[1] Employed under salary group A 1 pursuant to the Collective Bargaining Agreement for University Staff [Kollektivvertrag für die Arbeitnehmerinnen und Arbeitnehmer der Universitäten], minimum gross yearly salary: € 92,460.20; the actual annual gross salary is subject to negotiation.

[2] The duration of fixed-term contracts is subject to negotiation.

• A solid academic qualification (e.g. PhD and habilitation or equivalent) in Statistics, Machine Learning, Applied Mathematics or a related area
• An outstanding international reputation for high-quality scholarship in statistical Machine Learning commensurate with academic age, especially by having demonstrated the ability to publish in top-tier journals in the field, potentially supplemented by contributions to leading conferences
• Excellent teaching qualifications at undergraduate and graduate levels as well as documented experience in supervising PhD students
• Proven international experience
• A strong record in attracting research funding
• Gender and diversity management skills

Additional Information

Work Location(s)

Number of offers available 1 Company/Institute WU Vienna University of Economics and Business Country Austria Geofield