OPEN POSITIONS AT SKEMA IN ARTIFICIAL INTELLIGENCE FOR MANAGEMENT, SOPHIA ANTIPOLIS CAMPUS (with responsibility as Program Direction)

OPEN POSITIONS AT SKEMA IN ARTIFICIAL INTELLIGENCE FOR MANAGEMENT, SOPHIA ANTIPOLIS CAMPUS (with responsibility as Program Direction)

Part-time or full time

SKEMA Business School (https://www.skema.edu/) invites applications for a position at Assistant and/or Associate Professor rank, in Artificial Intelligence for Management, to begin August 2024. The successful candidate will have responsibility as Program Director and develop and/or lead academic research projects with the aim of publishing in the field's highest-quality journals.

The SKEMA Center for Artificial Intelligence (SCAI) ( https://www.skema.edu/faculty-and-research/scai/presentation-scai-faculty-research/presentation) 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.

The Center provides support for research and facilitates open discussions on how AI creates new layers of value that impact business models, sustainability, user behavior, information sharing, experiential engagement, marketing practices, and brand equity. Research directions may include, but are not limited to, the use of machine learning (e.g., predictive modeling and reinforcement learning) to find optimized solutions, and the development of decision-support tools that combine data-driven models with knowledge-based models. Additionally, the research center aims to explore how AI-enabled networked platforms are transforming business practices, fostering new business models, and shaping emerging business ecosystems.

To do this, SCAI initiates and sponsors:

• Pedagogical experiences that expose and prepare students to work with and manage AI technologies.
• Enterprise and ecosystem development, supporting technologists and managers in the evolution, adoption, and implementation of AI technologies.
• Research that examines the impact of AI and related technologies on work, organizations, consumer behavior, and business ecosystems

The candidate will be expected to: produce excellent research; teach undergraduate and/or graduate level courses in AI applied to Management; contribute to student mentorship; and participate in projects related to the SKEMA SKY25 corporate strategy.

The position is permanent with a full-time contract. Salary and conditions are competitive, in line with international standards. SKEMA Business School offers publication bonuses for peer-reviewed publications. The language of work and teaching is English. Knowledge of French is not required, and is not a criterion for selection. SKEMA Business School offers support in learning French.

Qualifications must include :

• have a PhD in Management or related disciplines (with orientation in Artificial Intelligence, Business Analytics, Robotics) or a related area.
• have an interest and experience in the operational as well as strategic aspects of digital transformation.
• be able to merge fundamental theoretical knowledge with practical relevance and to build and maintain sustainable relationships with practitioners (cooperate with companies, develop innovative pedagogical projects with them).
• Strong interest to invest in the research focus on Artificial Intelligence and Project Management
• Ability to teach, shown for instance by experience or assistance in teaching and positive evaluations of these teaching efforts.
• Excellent communication and master of the English language

Applications should include:

• 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.