Faculty Position: Assistant / Associate Professor in AI Methodologies for Business Decision-Making

Faculty Position: Assistant / Associate Professor in AI Methodologies for Business Decision-Making

EDC Paris Business School is a leading French Grande École, accredited by EFMD, with a strong international orientation and a growing research culture. Located in the heart of La Défense, Europe’s largest business district, EDC offers a unique environment at the crossroads of academic excellence and business practice.

The OCRE Research Lab brings together faculty across finance, economics, and management, with a strong emphasis on empirical and quantitative research. The lab provides an intellectually stimulating environment with access to major financial and economic databases, active seminar series, and a collaborative research culture.

EDC Paris Business School invites applications for a full‑time Associate Professor position in AI Methodologies for Business Decision‑Making. The position is affiliated with the OCRE Research Lab, EDC’s research center dedicated to the study of organizations, finance, and economic dynamics in an era of digital transformation.

We welcome candidates with backgrounds in Artificial Intelligence, Machine Learning, Data Science, Financial Econometrics, Finance, Marketing, or Management, provided their research focuses on the development and application of AI methodologies to support and enhance decision‑making in business contexts. Successful candidates are expected to pursue high‑impact research, publish in leading academic journals, contribute actively to the OCRE lab’s research agenda, and provide outstanding teaching at the graduate and executive levels.

Ideal Candidates

• Core machine learning techniques, including supervised and unsupervised learning, ensemble methods, and penalized regression techniques for feature selection.
• Deep learning models, including neural networks and transformer‑based architectures, particularly for applications in natural language processing (NLP).
• Reinforcement learning for dynamic optimization in business decision‑making scenarios.
• Generative AI methods for content generation and scenario modeling within business applications.
• Applications of AI methodologies in one or more business domains, such as:
  • Finance: algorithmic trading, credit risk assessment, asset pricing.
  • Marketing: customer segmentation, personalized recommendation systems.
  • Accounting: fraud detection, financial forecasting.
  • Human Resources: talent analytics, workforce planning.
  • Operations: demand forecasting, inventory optimization, logistics.

Other Desired Expertise

• Strong foundational knowledge of core business disciplines, particularly finance, marketing, operations, or strategy.
• Understanding of how AI methodologies are implemented in real‑world, large‑scale business environments.
• Experience integrating AI tools into business decision‑making processes to enhance performance and efficiency.
• Teaching experience in AI, machine learning, or data science, with a focus on business applications and managerial relevance.
• Familiarity with financial econometrics and quantitative methods applied to firm‑level or market‑level data is considered a strong plus.