Professor of Data Science Methods in Information Systems (tenured, salary level W2)

Professor of Data Science Methods in Information Systems

Position: tenured, salary level W2

Start Date: 1 April 2027 or as soon as possible thereafter

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).

Your Profile

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. Candidates are expected to have established an international reputation in their field.

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 demonstrate a clear research focus on the aforementioned areas, as well as 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. At the same time, the applicant is expected to complement the department's existing research and teaching portfolio.

Responsibilities

• Contribute to teaching activities in Information Systems BSc, MSc, and PhD programs
• Contribute to the foundational education in statistics in the bachelor's degree programs
• Contribute to the data science major in the master's program
• Offer further courses based on the candidate's specific research profile
• Contribute to the ongoing development of degree programmes and pioneer new educational approaches
• Publish in established information systems, computer science, or statistics outlets
• Make active contributions 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
• Independently secure and/or manage third-party funded projects
• Mentor and supervise PhD students and foster an environment conducive to academic and research excellence
• Handle administrative tasks and contribute to the academic governance of the department, school, and university

Requirements

• In-depth expertise in computer science, mathematics, or statistical methods
• Strong interest or application focus in business, society and/or public administration
• Clear research focus on data science methodology
• Ability to establish meaningful links with existing departmental expertise
• Evidence of ability to publish in outlets of high quality
• Documented academic achievements at an international level
• Documented teaching qualifications
• Potential to attract external funding
• Managerial and outreach qualifications
• First experiences in independently securing and/or managing third-party funded projects
• Interest in mentoring and supervising PhD students
• German language proficiency is not a prerequisite; candidates can deliver all lectures in English

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.

About Münster

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.

Diversity and Equal Opportunity

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.

Application Requirements

Applications must include:

• Motivation letter
• Curriculum vitae
• Research statement (up to 1,000 words)
• Teaching statement (up to 1,000 words)
• A complete publication list
• If applicable, a list of secured or managed third-party projects (from the past 5 years)

It will be important to demonstrate how teaching and research will integrate with and advance the department's current portfolio.

At later stages of the hiring process, further documents may be requested, such as certificates, publications, and teaching evaluations.

Application Deadline and Contact

Applications close: 15th of October 2026

Interviews planned: December 2026/January 2027

Please email your application, as a single PDF file, to:

Dean of the School of Business and Economics (FB 4)
University of Münster
Prof Thomas Langer
E-Mail: dekan@wiwi.uni-muenster.de

Any inquiries about the position can be directed to Prof Fabian Gieseke (fabian.gieseke@uni-muenster.de).