Professor of Data Science Methods in Information Systems

The Department of Information Systems in the School of Business and Economics at the University of Münster, Germany, is currently inviting applications for the position of Professor of Data Science Methods in Information Systems (tenured, salary level W2) to commence on 1 April 2027 or as soon as possible thereafter.

We envision this professorship to further strengthen the Department of Information Systems in terms of its global reputation for research and teaching, as well as its contribution to and significance for society and the economy. Therefore, we are looking for an outstanding individual and engaged researcher with a specialisation in data science methodology and with experience in transferring theory and methods into socio-technical applications. The successful candidate will integrate well into the department and its ecosystem and will contribute to the further development of the dynamic Information Systems team in Münster. Candidates are expected to have established an international reputation in their field.

About the Department

The Department of Information Systems at the University of Münster is one of the largest and most prestigious Information Systems departments in Germany, with an exciting and friendly international research environment that spans several research fields ranging from computer science and mathematics to business and economics. As the headquarters of the European Research Center for Information Systems (ERCIS), the department is connected to over 30 partner institutions in Europe and beyond.

The department offers a wide-ranging and comprehensive education in Information Systems by providing a profound foundation in computer science, mathematics, and business. In particular, the curriculum integrates methods, processes and data, as well as innovation-oriented perspectives on digital transformation and technology in different application areas, into a broad and interdisciplinary programme.

Members of the department regularly publish in leading journals in the field (e.g., MISQ, ISR, and Management Science) as well as in premier outlets of disciplines related to natural science, machine learning or computational intelligence (e.g., Nature, ICML, TEVC, GECCO). The department promotes an active dialogue with other research disciplines, thought leaders from industry, and society, which is reflected in interdisciplinary third-party funding, extensive collaborations with practice as well as publications in outlets such as CACM, the MIT Sloan Management Review, and Harvard Business Review.

Your Profile

We are looking for an outstanding individual who will engage with our department and its lively ecosystem and work toward making important and impactful contributions to academia, business, and society. We are open to welcoming diverse profiles regarding methodological orientation, field of interest, and seniority level.

Given the profile of the department, we are particularly seeking candidates who have contributed to data science methodology through the development of methods grounded in sound theoretical foundations. Therefore, applicants must have in-depth expertise in computer science, mathematics, or statistical methods and a strong interest or application focus in business, society and/or public administration.

Applicants should also demonstrate:

• a clear research focus on the aforementioned areas
• the ability and interest to establish meaningful links with the existing expertise in the department, including machine learning, operations research, operations management, social media analytics, business process management, digital innovation, and public administration
• the ability to complement the department's existing research and teaching portfolio

The successful candidate will contribute to teaching activities in our Information Systems BSc, MSc, and PhD programs. In particular, the professorship is expected to contribute to the foundational education in statistics in the bachelor's degree programs as well as to the data science major in our master's program. Further courses can be offered based on the candidate's specific research profile.

The successful candidate is expected to:

• contribute to the ongoing development of our degree programmes and to pioneer new educational approaches
• publish in established information systems, computer science, or statistics outlets
• actively contribute to the international information systems, computer science, or statistics communities
• develop a dedicated research group that can establish itself within the Department of Information Systems, the University of Münster, and the international research community
• have first experiences in independently securing and/or managing third party funded projects that are relevant to their future role and research direction
• demonstrate an interest in mentoring and supervising PhD students and in fostering an environment conducive to academic and research excellence
• handle administrative tasks and contribute to the academic governance of the department, school, and university

German language proficiency is not a prerequisite. Candidates can deliver all lectures in English, and meetings will be held in English as well.

Our Offering

We offer a rich academic environment in one of Europe's most liveable and family-friendly regions. Salary and employment conditions are highly competitive and include civil servant status and first-class social and health insurance for the candidate and their family.

The successful applicant will be provided with funds to develop their own research group, the size of which will be determined by the applicant's profile and research plan.

In Münster, you will enjoy a dynamic collegiate environment with internationally highly active researchers, inspirational top-talented students, and a dynamic partner network with which to conduct engaged research with industry and government agencies. As part of ERCIS, you will be at the centre of international collaborations and networking to advance information systems research and education and accelerate your further personal academic development.

Münster is a true university city - full of tradition, youthful vibes and colorful atmosphere. It has been awarded various titles and awards that reflect the outstanding quality of life. Münster is authorised to call itself "The World's Most Liveable City". It is an enjoyable and safe place to live, surrounded by beautiful nature, providing many high-quality schools, sports facilities, music opportunities, and rich cultural inspiration.

Priorities

Candidates must provide evidence that they can publish in outlets of high quality. Our assessment will take into account, among other things:

• documented academic achievements at an international level
• documented teaching qualifications
• potential to attract external funding
• managerial and outreach qualifications

The University of Münster strongly supports equal opportunity and diversity. We welcome all applicants regardless of sex, nationality, ethnic or social background, religion or worldview, disability, age, sexual orientation or gender identity. We are committed to creating family-friendly working conditions. We actively encourage applications by women. Women with equivalent qualifications and academic achievements will be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate.

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