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Assistant Professor (Tenure Track) in Business Analytics and Statistics at the Research Institute for Statistics and Information Science
Company Information
University of Geneva
We are seeking for high-potential candidates in business analytics and applied statistics. We understand business analytics as the science of learning from data that is employed by an organisation to enhance its business and make optimised decisions based on data under uncertainty. As such, the candidate is expected to make fundamental interdisciplinary contributions in research on how to manage, analyse, and utilise data in strategic, tactical, and operational decision making. Analytics being a core strategic area of the GSEM, this full-time position involves teaching analytics classes at all levels, and from the beginning in GSEM’s successful Master in Business Analytics, including the supervision of related internships and master theses. As such, the major goal of this open position will be to strengthen the GSEM’s research and teaching capabilities in business analytics. The candidate is expected to develop research at an international level in their field of specialization and to obtain external funding. The candidate is also expected to assume management and organizational tasks related to her function at the newly created interdisciplinary Research Institute for Statistics and Information Science and to be engaged its community, to actively collaborate with its various stakeholders, and to contribute to its interdisciplinary initiatives.
The candidate must hold a PhD in Statistics or in a related field from a recognized university. S-he should have experience in/potential for teaching, preferably also in practical courses in business analytics and statistics at bachelor, master and post graduate levels. The candidate is expected to teach in English; the ability to teach in French is an advantage. The candidate should have demonstrated a high potential for conducting world-class interdisciplinary research in the field of business analytics and applied statistics, with a focus on bridging the gap between academic and practitioner research, and ideally related to the GSEM’s research focus areas of analytics, governance, and sustainability.