About the Project
Northumbria University, Faculty of Engineering and Environment
Application Deadline: 18 February 2025
Start date: 1st October 2025
Project Reference: ReNU+24/EE/MPEE/RAJASEKARAN
Project Title: DT-CREED: Digital Twin for Cyber-physical Resilient and Equitable Electricity Distribution
In order to improve resilience and equity of power distribution systems, innovative approaches are needed as we move towards a low-carbon energy future. The complexity of distribution networks has increased due to growing integration of renewable energy sources, making it more difficult to guarantee the safe, equitable, and dependable transmission of electricity. By creating cutting-edge digital twin framework using sophisticated computational and data imputation techniques to modernise electricity distribution systems, this PhD project, DT-CREED: Digital Twin for Cyber-physical Resilient and Equitable Electricity Distribution, seeks to address these issues.
Research Objectives:
This project will focus on the following objectives:
- Data Imputation and Analytics: Novel algorithms for dealing with incomplete or sparse smart meter data are being developed using matrix completion and compressed sensing approaches.
- Hybrid Modelling Framework: Combining physics-based models (e.g., radial EMTP algorithms) with data-driven methodologies such as physics-informed neural networks to account for external factors such as demand response, climate change, and consumer fluctuation.
- Enhancements to cybersecurity: It involves in development of lightweight encryption techniques to ensure real-time communication between the digital twin and physical distribution systems while maintaining efficiency.
- Validation and Testing: Real-world testing of the digital twin using Opal-RT simulations to simulate operational scenarios, including cyber-attacks.
- Equity in Energy Distribution: Investigating techniques for incorporating equity issues into network design, guaranteeing inclusive and equitable access to energy resources.
Collaboration and Research Environment
This research is a collaboration between Electrical Power and Control Systems Research Group in the Department of Mathematics, Physics, and Electrical Engineering and the Networks and Cyber Security Research Group in the Department of Computer and Information Sciences at Northumbria University. The successful candidate will benefit from multidisciplinary expertise of supervisors, including Dr. James Rajasekaran, a specialist in power-systems, and Dr. Biju Issac, expert in cybersecurity. Access to the university’s cutting-edge facilities, such as Opal-RT real-time simulation lab, will provide an unparalleled environment for groundbreaking research.
Training and Skill Development
The candidate will become trained in sophisticated power system modeling, modern data science techniques, and cybersecurity. Training will include real-time simulation tools, data analytics approaches, and cutting-edge digital twin development methodologies. The candidate will have the opportunity to participate in teaching and mentoring activities, gaining a full skill set for future academic or industrial jobs.
This project provides a unique chance to contribute to the transformation of energy systems while tackling major global concerns such as energy resilience, fairness, sustainability. If you have a passion in creating a real-world difference through innovative research, we encourage you to apply.
Academic Enquiries
This project is supervised by Dr. James Ranjith Kumar Rajasekaran. For informal queries, contact james.rajasekaran@northumbria.ac.uk. All other enquiries relating to eligibility or application process email pgr.admissions@northumbria.ac.uk.
Eligibility Requirements:
- Academic excellence i.e. 2:1 (or equivalent GPA from non-UK universities with preference for 1st class honours); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement. However, a 3 or 2:2 may be considered with relevant work experience, skills and/or expertise, please contact the Institution Director, vincent.barrioz@northumbria.ac.uk for info.
- Appropriate IELTS score, if required.
- Applicants cannot apply if currently engaged in Doctoral study at Northumbria or elsewhere. Home applicants can apply for a second PhD if they wish under a different research area. International students are advised to email pgr.admissions@northumbria.ac.uk
- Must be able to commit to campus-based full-time or part-time study.
To be classed as a Home-student, candidates must:
- Be a UK National (meeting residency requirements), or
- have settled status, or
- have pre-settled status (meeting residency requirements), or
- have indefinite leave to remain or enter.
If a candidate doesn't meet the criteria above, they would be classed as an International student.
Applicants will need to be in the UK and fully enrolled before stipend payments can commence. Note the following are not covered by studentship.
International applicants (including EU) must have valid immigration permissions to live and study in UK if they wish to study on a part-time basis. Northumbria University doesn't sponsor part-time student visas.
How to Apply
Please follow the step by step guidance below:
- Use the following link for Full time PhD application OR use the following link for Part time PhD application
- Click Apply Now at the top of the page
- Choose October 25 and click Apply Now
- Create a new account
- Please complete the PhD application form in full
- Include the advert reference (e.g. ReNU+24/…)
- Upload degree certificates, transcripts and English qualifications (if applicable).
- Upload your CV under the ‘Experience section’. This is MANDATORY.
- In the personal statement section, select ‘no’ and type ‘no personal statement required’ in the box.
- Research proposal is NOT required. Upload a blank document to progress your application. Choose 'Yes' to the question ‘Are you applying for a UKRI studentship?’ and then choose ‘EPSRC ReNU Plus’.
- Choose ‘Scholarship’ under source of funding.
- Post submission, you need to login to the applicant portal to complete a competency assessment form.
Deadline for applications:
18 February 2025
Start date of course:
1 October 2025
Northumbria University is committed to creating an inclusive culture where we take pride in, and value, the diversity of our postgraduate research students. We encourage and welcome applications from all members of the community. The University holds a bronze Athena Swan award in recognition of our commitment to advancing gender equality, we are a Disability Confident Leader, a member of the Race Equality Charter and are participating in the Stonewall Diversity Champion Programme. We also hold the HR Excellence in Research award for implementing the concordat supporting the career Development of Researchers and are members of the Euraxess initiative to deliver information and support to professional researchers.
Funding Notes
Home and International students (inc. EU) are welcome to apply. The studentship is available to Home and International (including EU) students and 100% fees covered for four years and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). An additional allowance will be provided to contribute towards consumables, equipment, and travel related to the project.
Studentships are also available for applicants who wish to study on a part-time basis (0.6 FTE, stipend £12,468 per year and full tuition fees).
Please see additional costs that may apply to international applicants. We have limited number of International awards available.
References
J. R. K. Rajasekaran, et. al., "Modified Matrix Completion-Based Detection of Stealthy Data Manipulation Attacks in Low Observable Distribution Systems," in IEEE Transactions on Smart Grid, 2023
Munikoti, S., et. al., “Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks.” Reliability Engineering & System Safety, 2021
Tirulo, A. , et. al., Ensemble LOF-based detection of false data injection in smart grid demand response system, Computers and Electrical Engineering, 2024
R. J. R. Kumar, et. al., "Electromagnetic Transients-Based Detection of Data Manipulation Attacks in Three Phase Radial Distribution Networks," in IEEE Transactions on Industry Applications, 2022