As part of ongoing investment in our 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. Candidates are required to select a topic area or project title from the available topics and projects in four of our academic Schools:
Applicants should use the links provided in each topic or project area to the Research Centres and Research Groups identified, or to the named supervisors for each project, to ensure that their application and proposal fits with the research interests and topics defined in the studentships offered.
The studentships 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.
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.
Applicants can apply online for this opportunity. Please use the Funded PhD full time online application form. When asked to specify funding select “other” and enter the relevant studentship code given against the topic of 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 topic or 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 Please note that applications for funded studentships that do not quote the studentship title AND the Project ID on the proposal will be invalid and your application may not be considered for the appropriate funding.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 [email protected]
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 Institute 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.
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
|School of Computing and Digital Technologies fully funded PhD studentships (RDS19-SCDT)||Details|
|School of Social Sciences, Humanities and Law fully funded PhD studentships||Details|
|Development and evaluation of a social prescribing model for mental health (RDS19-SHSC4)||Details|
|Physical activity/exercise and heart failure (RDS19-SHSC1)||Details|
|Training loads and injuries in professional football (RDS19-SHSC2)||Details|
|Using digital technology to support health promotion and prevention (RDS19-SHSC3)||Details|
|360° Characterisation of the lipid profile of the protozoan Sarcocystis (RDS19-SSEB)||Details|
|Deciphering the potential interplay between matrix metalloproteinases (MMPs) and the Mucin 4 (MUC 4) in glioblastoma molecular mechanisms and diagnostics (RDS19-SSEB)||Details|
|Novel approaches to restore integrity of airway epithelium in asthmatics (RDS19-SSEB)||Details|
|The roles of mitochondrial proteins in Parkinson’s disease (RDS19-SSEB)||Details|
|Understanding α-synuclein Pathogenesis through Interrogation of the Rostral-Caudal Gradient in Lewy Body Dementias (RDS19-SSEB)||Details|
|Enhancing CO2 sequestration through combining clay minerals and construction by-products (RDS19-SSEE)||Details|
|Battery State of Health Estimation Using Adaptive Signal Processing Algorithm (RDS19-SSEE)||Details|
|Big Data Driven Deep Learning for Design of Electrical Power Distribution Systems with Renewables, Storage and Electric Transport (RDS19-SSEE)||Details|
|Digital Twin and Cyber physical energy systems optimisation (RDS19-SSEE)||Details|
|Models establishment for electrostatic meters through machine Learning (RDS19-SSEE)||Details|