Fully Funded PhD: Adaptive AI for Sequential Decision-Making

University of Bristol; West of England; On-site; GBP 19,000 - 23,000; Full time

Benefits offered by this job

Tuition fee covered

4-year scholarship

Job summary

University of Bristol invites applications for a four-year University Scholarship in AI/ML focused on adaptive learning and sequential decision-making for public health applications. The project will explore reinforcement learning, active learning, Bayesian decision theory and stochastic optimization with applications to disease surveillance and resource allocation.

The ideal candidate will have strong foundations in machine learning and a high motivation for research.

Qualifications

• Foundational knowledge of machine learning and AI.
• Interest in sequential decision making and adaptive learning.
• Strong motivation for research in public health applications.

Responsibilities

• Develop novel ML methods for adaptive learning and sequential decision-making.
• Advance RL, Bayesian decision theory and stochastic optimization for evolving systems.
• Collaborate with Dr. Mengyan Zhang and researchers across teams.

Skills

Foundational ML knowledge

Self-motivation

Sequential decision making

Education

PhD in AI/ML or related field

Job description

University of Bristol invites applications for a four-year University Scholarship in AI/ML focused on adaptive learning and sequential decision-making for public health applications. The project will explore reinforcement learning, active learning, Bayesian decision theory and stochastic optimization with applications to disease surveillance and resource allocation.

The ideal candidate will have strong foundations in machine learning and a high motivation for research.