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Assistant Professor (Tenure Track) of Decision Sciences

ETH Zurich

Manchester

On-site

GBP 40,000 - 60,000

Full time

Yesterday
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Job summary

The Department of Management, Technology, and Economics at ETH Zurich invites applications for an Assistant Professorship in Decision Sciences. The successful candidate will engage in teaching and establishing a research program in quantitative methods, applying analytics to business problems. This role is aimed at promoting younger scientists and offers a tenure track equivalent to top international universities.

Qualifications

  • Expertise in operations research and advanced analytics.
  • Ability to develop and teach courses in applied operations research and business analytics.
  • Commitment to establish and lead a research group.

Responsibilities

  • Teach courses in applied operations research and business analytics.
  • Develop an outstanding research program in decision sciences.
  • Collaborate with industry partners.

Skills

Quantitative methods
Teaching
Research in decision sciences

Education

PhD or equivalent in a relevant field

Job description

The Department of Management, Technology, and Economics (D-MTEC, www.mtec.ethz.ch ) at ETH Zurich invites applications for the above-mentioned position.

Decision sciences provide insights into decision-making and derive recommendations to guide it based on principles from mathematics, statistics, computer science, and behavioral sciences. Operations research (OR) and/or advanced analytics applied to empirical business problems are particularly relevant to this position. Therefore, the future professor must be an expert in quantitative methods. Competitive candidates maintain an outstanding research program in contemporary decision sciences, with an emphasis on applied analysis of business problems relevant to managerial practice at the organizational level. Collaboration with industry partners is expected.

For this position, D-MTEC is not looking for candidates specializing in transportation science, ecosystem perspectives such as energy systems, or the role of cognition in decision-making.

The new professor is expected to be an effective and enthusiastic teacher who will develop and teach courses in areas such as applied operations research and business analytics. At the assistant professor level, commitment to teaching and the ability to establish and lead a research group in decision sciences are expected.

Assistant professorships have been established to promote the careers of younger scientists. ETH Zurich implements a tenure track system equivalent to that of other top international universities.

ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples.

Please apply online

Applications should include a curriculum vitae, a list of publications, the names and contact information of three possible referees, a statement of future research and teaching interests, a description of the leadership philosophy, a description of the three most important achievements*, and a certificate of the highest degree. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 31 August 2025.

*ETH Zurich emphasizes qualitative assessment of academic accomplishments. This is why you are kindly asked to submit a short description of your three most important achievements (maximum a half page each). Besides research findings, these could also be extraordinary achievements in teaching and its further development, services in the benefit of the academic community or society, software development, patents, knowledge transfer and its practical application, spin-off companies or similar.

Please note: For assistant professors, an appointment at an early stage in the career is sought. When comparing the performance of candidates, the respective academic net age as the period since the doctoral examination that was spent for scientific work is taken into account. This period should not exceed eight years at the time of application.

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