Open-Rank Professorship in Information Systems

Universität Basel; Basel; On-site; CHF 150,000 - 210,000; Full time

Job summary

The Faculty of Business and Economics at Universität Basel invites applications for an Open-Rank Professorship in Information Systems to begin February 1, 2028 or later. We welcome candidates in any IS area, including digital platforms, data analytics, AI in organizations, digital transformation, and information security management.

The appointee will pursue an active research program, mentor early-career researchers, and contribute to teaching at all levels.

Qualifications

• Excellent quantitative empirical researcher with publications in leading international outlets.

Responsibilities

• Advance research in information systems and supervise early-career researchers.
• Contribute to and develop the curriculum including courses in business analytics and AI.
• Teach at all levels, with English-language teaching possible.

Job description

The Faculty of Business and Economics of the University of Basel, Switzerland invites applications for an Open-Rank (Tenure-Track Assistant, Associate, or Full) Professorship in Information Systems to begin on February 1, 2028, or at a date to be agreed. We welcome applicants in any area of Information Systems, including digital platforms and ecosystems, data analytics and AI in organizations, digital transformation, and the management of information security.

Your position

The Faculty of Business and Economics fosters a collaborative research environment with the aim of con-tinuously strengthening the faculty's visibility and reputation as a leading institution in the fields of business and economics. The holder of this professorship is expected to contribute to the faculty's success through ongoing excellence in research, support and mentoring of early-career researchers, and a strong commit-ment to teaching at all levels. Teaching may be in English.

Your profile

We are looking for an excellent quantitative empirical researcher whose work is grounded in theory, and who has an established record of publications in leading international outlets (commensurate with career stage). The successful candidate is also a committed and effective educator who can contribute to and further de-velop the curriculum at all levels, including courses in business analytics, AI, and quantitative methods, and may eventually take on leadership of an MSc program in this area.