Fully Funded PhD Positions at the University of Southampton (UK): Applications Open

The University of Southampton, United Kingdom, is providing 4 absolutely funded PhD positions below totally different Centres for Doctoral Training (CDTs), supervised by Dr Hongyu Zhang and main worldwide collaborators. These alternatives are perfect for extremely motivated graduates thinking about power techniques, local weather modelling, machine studying, optimisation, quantum computing, and sustainability.

All positions are absolutely funded and open to acceptable home and worldwide candidates, topic to particular deadlines.

Available PhD Positions

1. Techno-Economic Modelling of Sustainable Data Centre Integration in the European Energy System

Funding: UKRI AI Centre for Doctoral Training in AI for Sustainability (SustAI CDT)
Deadline: 27 January 2026
Application web site: here.

This mission focuses on analysing how large-scale information centres will be sustainably built-in into Europe’s power system. The analysis will discover power demand, emissions, flexibility companies, renewable integration, cooling options, and waste warmth restoration utilizing superior optimisation fashions.

Key areas embrace:

• Long-term power system modelling
• Data centre flexibility and renewable integration
• Techno-economic and coverage evaluation
• Net-zero transition methods for Europe

2. Quantum Computing for Large-Scale Stochastic Optimisation in Energy System Planning

Funding: EPSRC Centre for Doctoral Training in Quantum Technology Engineering
Deadline:

• UK candidates: 31 July 2026
• International candidates: 31 March 2026
  Application web site: here.

This mission explores how quantum computing and hybrid quantum–classical algorithms can handle uncertainty in large-scale power system planning. It combines stochastic optimisation, quantum algorithms, and real-world power modelling to help Europe’s net-zero targets.

Opportunities embrace:

• Research stays and trade placements
• Collaboration with Purdue University
• Cutting-edge work in quantum optimisation

3. Machine Learning and Optimisation for Climate Modelling and Energy System Integration

Funding: EPSRC CDT in Mathematics for Our Future Climate (MFC CDT)
Deadlines:

• Second spherical: 11 January 2026
• Final spherical: 8 March 2026
  Application web site: here.

This PhD will develop machine studying and optimisation instruments to combine local weather fashions with power system planning. The mission addresses local weather uncertainty, renewable variability, and long-term resilience utilizing scalable, GPU-enabled computational strategies.

Research focus:

• Climate-driven uncertainty in power techniques
• Machine studying for state of affairs era
• Optimisation for resilient, low-carbon planning

4. Machine Learning and Stochastic Optimisation for Maritime Anomaly Behaviour Identification

Funding: EPSRC and MOD CDT in Complex Integrated Systems for Defence and Security (CISDnS)
Deadline: 20 April 2026
Application web site: here.

This mission applies machine studying and stochastic optimisation to detect anomalous maritime behaviour utilizing Automatic Identification System (AIS) information. It helps maritime safety, sustainable delivery, and international commerce monitoring.

Key themes:

• Anomaly detection in giant, unsure datasets
• Hybrid ML–optimisation strategies
• Real-world validation with maritime stakeholders

Benefits

Successful candidates will obtain:

• Full PhD funding (tuition charges and stipend)
• Research coaching by way of main UK Centres for Doctoral Training
• Supervision by internationally recognised researchers
• Opportunities for worldwide collaboration, trade placements, and analysis stays
• Access to superior computational sources and interdisciplinary analysis environments
• Strong profession pathways in academia, trade, and coverage

Eligibility and Skills

Applicants ought to have a powerful background in a number of of the following:

• Applied arithmetic, optimisation, or operations analysis
• Energy techniques, local weather modelling, or sustainability
• Machine studying, information science, or synthetic intelligence
• Programming abilities (Python, Julia, GPU programming, or comparable)

Contact Information

For questions and additional particulars, contact:
Dr Hongyu Zhang
Email: [email protected]

For extra data sheet, click on here.

Summary

The University of Southampton is providing 4 absolutely funded PhD alternatives in cutting-edge fields together with power techniques, local weather modelling, machine studying, quantum computing, and maritime safety. These positions present full monetary help, worldwide collaboration, and robust profession growth for younger researchers aiming to contribute to sustainability, net-zero transitions, and superior computational analysis.

For extra alternatives, click on right here.

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