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Digital Twin and Cyber physical energy systems optimisation (RDS19-SSEE)

  • Full or part time
  • Application Deadline
    Monday, April 29, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

Fully funded PhD studentships for October 2019

As part of ongoing investment into areas of research strength, Teesside University is pleased to offer a number of fully-funded PhD studentships to exceptional doctoral candidates to commence in October 2019. The School of Science, Engineering and Design invites applications for fully-funded full-time PhD studentships in the following research projects:

Smart Systems and Energy Informatics Research Group
https://research.tees.ac.uk/en/organisations/smart-systems-and-energy-informatics-research-group

RDS19-SSEE Digital Twin and Cyber physical energy systems optimisation

Current cyber physical modelling and simulation tools can represent well real energy processes and system behaviour provided they are properly modelled. Such tools can handle multiphysical and multiscale models and can be used to optimise real energy system operation. For accurate simulation, the employed models may be very detailed requiring set up of hundreds of parameters. Often such parameters are included in the models as part of extensive laboratory tests under controlled conditions, which are used to specify their default values. In operational environments, physical systems are often subject to working conditions which do not correspond to laboratory tests used to specify default values of their model parameters. In such cases, modelling and simulation expert knowledge would be required to properly set various parameters governing model performance. This project aims to introduce a new paradigm for design and operation of energy systems and processes. The paradigm will be facilitated by a new modelling and simulation tool which will be able to create, automatically calibrate and periodically recalibrate simulation models to fit the operation of energy systems.

Supervisor: Dr Vladimir Vukovic
https://research.tees.ac.uk/en/persons/vladimir-vukovic

Applicants should use the link provided against the project area to the Research Centres and Research Groups identified and to the named supervisors for each project, to ensure that their application and proposal fits with the studentship offered.

Funding Eligibility

The studentship will cover tuition fees and provide an annual tax-free stipend of £15,000 for three years, subject to satisfactory progress. Applications are welcome from strong UK and International students.

Entry Requirements

Applicants should hold or expect to obtain a good honours degree (2:1 or above) and/or Masters level qualification in a relevant discipline, as well as a demonstrable understanding of the area; further details of the expected background may appear in the specific project details. International students would be subject to the standard entry criteria relating to English language ability, ATAS clearance and, when relevant, Tier 4 procedures.

How to Apply

Applicants should apply online for this opportunity. Please use the Full Time Funded PhD online application form. When asked to specify funding select “other” and enter the relevant studentship code given against the project that you applying for in the field required. You should also ensure that you add the studentship code as well as the title of the project on the proposal that you will need to upload when applying. If you would like to apply for more than one project, you will need to complete a further application form and specify the relevant title and code for each application to a topic or project. Please note that applications for funded studentships that do not quote the studentship title AND the Project ID on the proposal will be invalid and your application may not be considered for the appropriate funding.

For academic enquiries, please contact the relevant supervisor or staff in the research area directly. For administrative enquiries, contact .

Research at Teesside

As a Teesside University research student, you will join a growing and dynamic research community, allowing you to share your experiences, insight and inspiration with fellow researchers. You will benefit from our academic expertise, and be supported through a strong programme of research training. You will be offered opportunities and support at each stage of your research degree. Our research is designed to have impact, and to influence policy and practice within our region, the UK and beyond. We work with external organisations to anticipate and respond to research needs, and to put our research into practice in sectors as diverse as the arts, engineering, healthcare and computing. PhD students are encouraged to work with their supervisors to explore the potential impact of their work.

The successful candidate will be expected to participate fully in research group and centre activities, including training sessions and workshops, and will become a member of the University’s wider postgraduate research community. Mentoring and support will be provided for the development of a strong academic and professional CV during the PhD.

Key Dates

Closing date for applications is 5pm on Friday 29 April 2019

We envisage that interviews will take place in May 2019

Successful applicants will be expected to start on 7th October 2019

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