PhD Researcher: Sustainable Data Centre Digital Twins

University of Exeter; Exeter; Sur place; GBP 18 000 - 20 000; Plein temps

Résumé du poste

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

Qualifications

• 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).

Responsabilités

• 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.

Connaissances

Python

C++

Distributed systems

Academic research methods

Data analysis

Research communication

Git

Docker

Formation

Bachelor's degree in Computer Science or related field

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

Outils

Github/Git version control

HPC

Description du poste

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