Two Tenure-Track Assistant Professorships (2 x 100%) - Specialisation: Empirical Management Research

The two professorships are in empirical management research, with a particular interest in the opportunities and challenges associated with digital transformation, data-driven decision-making, and the increasing use of artificial intelligence in organisations and the wider economy. Relevant research areas include decision research, human resource management, managerial accounting, innovation and digitisation, industrial organisation, information systems, data science for business, and related areas of empirical management research. Methodologically, the research profiles should be grounded in quantitative empirical approaches, including field or laboratory experiments and/or the analysis of organisational, personnel, or other data sources using modern quantitative methods.

Successful candidates fit well with the faculty’s existing research cluster in applied microeconomics and econometrics and contribute to collaboration and exchange across research groups. Ideal candidates therefore also build on perspectives from microeconomics and address topics of societal relevance related to the existing research cluster.

Your responsibilities

• Conducting methodologically rigorous and societally relevant empirical management research, guided by open science practices.
• Publishing regularly in high-quality scientific journals in the field.
• Actively participating in relevant national and international workshops and conferences.
• Supervising Bachelor’s, Master’s, and doctoral theses.
• Acquiring competitive third-party funding from institutions such as the Swiss National Science Foundation and other Swiss or international funding bodies.
• Establishing research and teaching cooperations with other universities and with other faculties at UniDistance Suisse.
• Teaching in the faculty’s Bachelor programmes (in German, French, and/or English) and/or in the Master’s and Doctoral programmes (in English).
• Developing and implementing innovative teaching methods, with a particular focus on e-learning and digital education.
• Actively supporting the further development of the faculty, the faculty’s study programmes, and the range of courses offered by the faculty.
• Contributing to and further developing continuing education courses and the faculty’s services targeted at a broader public.

Your profile

• Doctoral degree and research experience in a relevant field.
• Expertise in the application of quantitative empirical research approaches, including field or laboratory experiments and/or the analysis of organisational, personnel, or other data sources using modern quantitative methods.
• A promising research agenda in empirical management research, with a specialisation that complements the faculty’s existing research cluster and demonstrates integration into an international research network.
• A promising research and publication pipeline, ideally including first publications in high-quality journals in the field.
• Experience in acquiring, or strong potential to acquire, competitive third-party research funding.
• Willingness and ability to develop effective online teaching modules in areas related to the candidate’s specialisation; teaching experience, particularly in blended learning, is an advantage.
• Proficiency in English and active knowledge of either German or French is required, together with passive knowledge of the other language, as well as the ability and willingness to teach in German or French within one year.

We offer

• Tenure-track assistant professor positions, with the possibility of promotion to a permanent position, subject to a positive tenure evaluation.
• Support and dedicated funding to establish and develop a research and teaching team.
• A dynamic academic environment within a research-intensive institution, characterised by strong scientific expertise, interdisciplinary collaboration, and a growing international profile.
• A high degree of autonomy and responsibility, off