ESRC IAA Research Associate in Explainable AI Decision Models

The University of Manchester is seeking a talented Research Associate to join the Alliance Manchester Business School on a fixed-term project funded by the ESRC IAA and Protector Insurance. The successful candidate will focus on translating foundational evidential reasoning theory and industrial domain knowledge into practical eXplainable AI-powered Decision Models (XAI-DMs) for insurance underwriting. Working alongside academic supervisors and industry practitioners, the researcher will be responsible for developing, testing, and integrating advanced probabilistic and decision-making frameworks into commercial workflows. This role offers an exceptional chance to bridge cutting-edge academic research in decision science with real-world financial applications.

• Design and develop eXplainable AI-powered Decision Models (XAI-DMs) tailored for insurance underwriting applications.
• Translate evidential reasoning theory and Maximum Likelihood Evidential Reasoning frameworks into operational software solutions.
• Collaborate directly with industrial partners at Protector Insurance to integrate decision models into existing workflows.
• Conduct rigorous probabilistic data analysis and manage uncertain evidence acquired from imperfect data and human judgment.
• Translate complex technical methodologies into user-friendly formats suitable for practitioners within the insurance sector.