Artificial Intelligence for Management Professor
il y a 7 jours
SKEMA Business School invites applications for a Professor position in Artificial Intelligence for Management. The successful candidate will develop and lead academic research projects with the aim of publishing in the field's highest-quality journals.
About the SKEMA Center for Artificial Intelligence (SCAI)The SKEMA Center for Artificial Intelligence (SCAI) is an interdisciplinary initiative focused on exploring the opportunities and implications of artificial intelligence for the management of organizations, industries, and business ecosystems. SCAI aims to investigate the economic, societal, and ethical value generated by Human Centric AI Systems for Business as well as to develop and enhance AI techniques and algorithms to solve specific business problems.
Responsibilities- Develop and lead academic research projects in AI for Management
- Teach undergraduate and/or graduate level courses in AI applied to Management
- Contribute to student mentorship
- Participate in projects related to the SKEMA SKY25 corporate strategy
- Ph.D. in Management or a related field (with orientation in Artificial Intelligence, Business Analytics, Robotics) or a related area
- Strong research orientation and track record, as demonstrated by a publication track record in highly regarded management journals (e.g., FT list) or show potential (for the position of Assistant Professor)
- Ability to work as part of a team in a collegial environment
- Strong oral and written communication skills
- Excellence in quantitative methods
- Strong interest to invest in the research focus on Artificial Intelligence in Management
- Commitment to service and/or outreach activities
- A letter of application stating why you are interested in SKEMA Business School
- Curriculum Vitae
- Statement of research interests and direction
- Statement of teaching interests and philosophy (please list courses you have taught or would prefer to teach)
- Evidence of research activity (1-2 writing samples or reference to research available online; published articles or working papers)
- Evidence of teaching performance (include teaching evaluations if available)
- Three letters of reference
- Any additional document that the applicant may consider as relevant
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