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Richard Allmendinger

Top university

11 months ago

Fully Funded PhD in AI, Machine Learning, and Optimisation for Socio-Technical Systems at University of Manchester University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded, covering tuition and providing a stipend. No specific stipend amount is mentioned.

Deadline

Expired

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Machine Learning
Operations Research
Artificial Intelligence
Gaussian Processes
Bayesian Statistics
Electric Vehicle
Optimisation
Sociotechnical Systems
Decision Support System
Distributed Energy

About this position

A fully funded PhD position is available at the University of Manchester within the UKRI AI Centre for Doctoral Training (CDT) in Decision Making for Complex Systems. This 4-year programme aims to train future AI researchers, with a specific project on Adaptive Multi-Objective Search in Expensive High-Dimensional Socio-Technical Systems. The research, in collaboration with Honda Research Institute Europe, will focus on developing adaptive optimisation frameworks for complex socio-technical systems, particularly energy distribution networks for electric vehicles. Key research themes include artificial intelligence, machine learning, high-dimensional optimisation, Bayesian optimisation, Gaussian processes, operational research, and decision support.

The CDT unites researchers from Manchester and Cambridge, applying AI and machine learning to real-world challenges in engineering, physics, biology, and business. The position is fully funded, and applicants from diverse backgrounds with a passion for AI and decision-making in complex systems are encouraged to apply. The application deadline is 5 December 2025.

For more information and to apply, visit the provided link.

Funding details

The position is fully funded, covering tuition and providing a stipend. No specific stipend amount is mentioned.

What's required

Applicants should have a strong background in a relevant discipline such as computer science, engineering, mathematics, or a related field. Passion for AI, machine learning, and decision-making in complex systems is essential. The post welcomes candidates from diverse backgrounds. Specific degree level, GPA, or language requirements are not mentioned.

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Professors

Professor at Faculty of Humanities Doctoral Academy, Alliance Manchester Business School

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Energy Engineering

Optimization Algorithm

Genetic Algorithm

Computer Science

Senior Lecturer

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Bayesian Statistics

Computer Science

Electric Vehicle

Gaussian Processes