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Assistant Professor in Artificial Intelligence and Data Sciences

Il y a 2 mois


Bordeaux, Nouvelle-Aquitaine, France KEDGE Business School Temps plein

KEDGE Business School, a renowned institution with campuses across France, China, Africa, and beyond, seeks a highly motivated and accomplished Assistant Professor in Artificial Intelligence (AI) and Data Sciences to join our esteemed Operations Management and Information Systems Academic Department (MOSI).

This position offers an exciting opportunity to contribute to the forefront of AI research and education within a dynamic and international academic environment. You will play a pivotal role in shaping the future of supply chain management, logistics, and transportation through innovative teaching and cutting-edge research.

Responsibilities:
  • Develop and deliver engaging undergraduate, graduate, and postgraduate courses in AI/Data Science, encompassing machine learning, neural networks, and related topics.
  • Contribute to a vibrant research environment by publishing impactful work in leading academic and professional journals within the fields of AI/Data Science, Operations Research, and Business Analytics.
  • Lead collaborative research projects with industry partners or international institutions, leveraging your expertise to address real-world challenges in supply chain management and beyond.
  • Actively participate in national and international grant proposals and funding opportunities, securing resources to advance your research agenda.
  • Provide guidance and mentorship to students, fostering their academic growth and professional development through supervision and coaching.
Profile and Skills:
  • Hold a PhD or equivalent degree in AI, Data Science, or a closely related field.
  • Demonstrate proven teaching experience in AI/Data Science subjects, including machine learning and neural networks.
  • Possess a strong publication record in reputable academic and professional journals within the areas of AI/Data Science, Operations Research, and Business Analytics.
  • Experience in supply chain management would be highly advantageous.
  • Have a track record of successful collaborative research projects (e.g., H2020, ANR).
  • Exhibit excellent written and oral communication skills in English.