PhD Researcher – Uncertainty-Aware Synchronisation for Sustainable Data Centre Digital Twins | University of Exeter

University of Exeter; Exeter; Presencial; GBP 18 000 - 20 000; Tempo integral

Resumo da oferta

University of Exeter invites applications for a fully funded EPSRC Doctoral Landscape Award PhD Researchership beginning September 2027. You will design and evaluate uncertainty-aware synchronization frameworks for sustainable data centre digital twins, conduct literature reviews, and develop mathematical models and simulations.

You will work with a top-tier supervisory team, publish in leading journals, and present findings at conferences while maintaining rigorous research logs and code

Qualificações

• First-class or upper second-class Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
• Relevant postgraduate Master’s degree in Computer Science, Artificial Intelligence, or Advanced Computing with distinction or merit.
• Strong, demonstrable operational expertise in software development, algorithm design, and computational modeling.
• Comprehensive working knowledge and practical proficiency in Python, C++, or equivalent programming languages for research prototyping.
• Deep practical understanding of distributed systems, cloud computing, IoT, data analytics, or digital twin architectures.
• Solid practical grasp of academic research methodologies, statistical analysis, and technical scientific writing.
• Exceptional analytical problem-solving aptitude, intellectual curiosity, and professional communication capabilities.
• Mandatory legal eligibility and academic standing for doctoral research studentship enrollment at the University of Exeter (September 2027 intake).

Responsabilidades

• Conduct advanced doctoral research focusing on uncertainty-aware synchronization models for sustainable data centre digital twins.
• Formulate rigorous mathematical and algorithmic frameworks to capture stochastic behaviors and environmental variables in data centres.
• Design, build, and evaluate software simulation models, digital twin prototypes, and data processing pipelines.
• Analyze large-scale operational datasets, energy consumption metrics, and workload patterns to optimize data centre sustainability.
• Collaborate closely with supervisory team members and publish high-impact peer-reviewed research papers.
• Present research findings at prestigious academic conferences and EPSRC stakeholder workshops.
• Maintain meticulous research logs, source code repositories, and experimental data sets.

Conhecimentos

Python

C++

Distributed systems

Academic research methods

Data analysis

Research communication

Git

Docker

Formação académica

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science/AI/Advanced Computing (with distinction or merit)

Ferramentas

Github/Git version control

HPC

Descrição da oferta de emprego

Position Summary:

Driving groundbreaking academic research in sustainable data center digital twins, uncertainty-aware synchronization, and advanced computer science, the Department of Computer Science at the University of Exeter is actively seeking a highly motivated PhD Researcher for a fully funded EPSRC Doctoral Landscape Award-funded studentship commencing in September 2027. In this vital doctoral research role, you will investigate, model, and implement cutting-edge synchronization algorithms and digital twin frameworks under the expert supervision of Dr Huma Samin, Dr John Panneerselvam, and Prof Khurram Bhatti. Bringing exceptional academic credentials and a passion for environmental sustainability and data centre optimization, you will empower academic research to achieve uncompromised predictive accuracy, energy efficiency, and operational resilience. This prestigious doctoral opportunity offers full financial funding, high academic visibility, and exceptional professional growth within a premier global research-intensive university.

Detailed Job Description:

As a PhD Researcher supporting the Department of Computer Science at the University of Exeter in the United Kingdom, you will take full academic, investigative, and technical ownership of designing uncertainty-aware synchronization frameworks for sustainable data centre digital twins. Your day-to-day responsibilities include conducting comprehensive literature reviews, formulating mathematical models, developing simulation environments, analyzing complex operational telemetry, and collaborating directly with an elite supervisory team comprising Dr Huma Samin, Dr John Panneerselvam, and Prof Khurram Bhatti. You will operate in a collaborative academic research environment while partnering closely with industry partners and doctoral peers.

Key Responsibilities:

• Conduct advanced doctoral research focusing on uncertainty-aware synchronization models for sustainable data centre digital twins.


• Formulate rigorous mathematical and algorithmic frameworks to capture stochastic behaviors and environmental variables in data centres.


• Design, build, and evaluate software simulation models, digital twin prototypes, and data processing pipelines.


• Analyze large-scale operational datasets, energy consumption metrics, and workload patterns to optimize data centre sustainability.


• Collaborate closely with supervisory team members Dr Huma Samin, Dr John Panneerselvam, and Prof Khurram Bhatti during research cycles.


• Author high-impact peer-reviewed research papers for publication in leading international computer science journals and conferences.


• Present research findings at prestigious academic conferences, departmental seminars, and EPSRC stakeholder workshops.


• Maintain meticulous research logs, source code repositories, experimental data sets, and doctoral progress reports.

Required Qualifications & Skills:

• First-class or upper second-class Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related technical discipline.


• Relevant postgraduate Master’s degree in Computer Science, Artificial Intelligence, or Advanced Computing with distinction or merit.


• Strong, demonstrable operational expertise in software development, algorithm design, and computational modeling.


• Comprehensive working knowledge and practical proficiency in Python, C++, or equivalent programming languages for research prototyping.


• Deep practical understanding of distributed systems, cloud computing, IoT, data analytics, or digital twin architectures.


• Solid practical grasp of academic research methodologies, statistical analysis, and technical scientific writing.


• Exceptional analytical problem-solving aptitude, intellectual curiosity, and professional communication capabilities.


• Mandatory legal eligibility and academic standing for doctoral research studentship enrollment at the University of Exeter (September 2027 intake).

Nice-to-Have Skills:

• Prior research experience or publication record in digital twins, data centre energy efficiency, or distributed synchronization algorithms.


• Hands-on familiarity with machine learning frameworks, time-series forecasting, and uncertainty quantification techniques.


• Experience utilizing version control systems (Git), containerization tools (Docker), and high-performance computing (HPC) clusters.


• Prior professional working experience in software engineering, data analytics, or technology consulting environments.


• Active engagement in open-source software development or collaborative academic research initiatives.

Application Information:

• Recruiter: University of Exeter Department of Computer Science Recruitment Division


• Contact Name: Prof Khurram Bhatti (Associate Professor & Deputy Head of Department)


• Email:


• Phone:


• Application URL: https://lnkd.in/eSuXxmkb


• Salary/Rate: Fully Funded EPSRC Studentship Stipend & Tuition Coverage


• Deadline: Midday, Tuesday, 8th December 2026 (September 2027 Start)


• Notice Period: September 2027 Academic Intake


• Contract Duration: Fully Funded 3-to-4 Year PhD Studentship (Exeter, UK)

Recruitment Pro Tip:

When applying for this PhD Researcher studentship at the University of Exeter, ensure your research proposal explicitly highlights your background in distributed systems, data centre sustainability, uncertainty quantification, and alignment with the supervisory expertise of Prof Khurram Bhatti and team.