As part of a major expansion in research activity the University has made available University Research Scholarships.
These scholarships are for strategic recruitment to important areas of research within the University. Fee waivers available to University research scholars are 15%, 25%, 50%, 75% and 100%. The decision will be made by the individual Schools and may be awarded to applicants whose proposal addresses one of the strategic research aims.
To apply please complete the online application form, marking it clearly with fee-waiver scholarship application.
The School has a well-established research culture and is keen to recruit high quality full-time PhD candidates in its areas of special expertise. To this end we offer a maximum of 3 full-fee waivers for full-time PhD candidates per academic year. The criteria on which these are awarded are:
- Excellence of candidates evidenced through previous academic achievements (eg 1st class honours degree; distinction at Master’s level) together with quality of proposal;
- The topic must be in an area identified by one of our leading researchers, and that researcher must be able and willing to act as first supervisor;
- The application (research proposal) must be viewed and deemed worthy of support by the Director of Graduate Education and another leading researcher in addition to the potential supervisor / sponsor.
Please contact the individual professors if you want to discuss any possible application.
Huddersfield Business School, University of Huddersfield
Qualification type: PhD
Funding amount: Full tuition fee plus a monthly bursary for three years.
Closing date: 11th December 2017 / Possible interview date: 14th December 2017
Start date: January 2018
Funding for: Home/UK, EU and International Students
Following our strong performance in the 2014 Research Excellence Framework (REF), Huddersfield Business School is seeking to invest in one outstanding new PhD candidate in the area of business and management with a specific focus on transport and logistics. The successful applicant will work on the following project:
Understanding Public Perceptions for the Cybersecurity of Autonomous and Connected Vehicles: A Human Factors Study for ‘Safe-guarding’ Artificial Intelligence in Road Transport
The interest with which the scientific world, the markets and societies anticipate a full scale launch of autonomous and connected vehicles, one of the most impactful and ‘near to completion’ applications of artificial intelligence, is higher than ever before. This is because these vehicles have, in theory at least, the potential to utterly transform urban development as known today, with a revolution in road transport, regulations permitting, that could dramatically change the landscape of cities and have an enormous socio-economic, spatial mobility and business impact. Although recent studies showed that a priori acceptability of artificial intelligence in road transport could be likely for many drivers today the future may be far more complex. The implementation of vehicle automation will not be straightforward, predictable or unproblematic; there is a wide spectrum of challenges, social dilemmas and complicated human factors issues that may arise from such an ‘untested’ and ‘powerful’ innovation. Cybersecurity threats constitute one of the key problems that need to be addressed and a socio-psychological barrier that might make individuals and even societies as a whole, less willing to embrace driverless vehicle technologies. The proposed PhD study aims to develop a theoretical and empirical framework for understanding public attitudes towards cybersecurity in automated and connected vehicles and predict behavioural patterns and human-machine interaction trends in a crisis situation; it will be primarily a user-centred study of socio-technical nature. The PhD will ultimately try to identify how a new automated and connected transport network could be (or at least perceived by its users to be) robust to disturbances, failures and threats of an unexpected and malicious nature. This approach means that the research will ultimately identify and examine the cybersecurity dimensions of transport resilience in a new era for urban mobility governed by artificial intelligence.
Eligibility: The scholarship is open to all Home/UK, EU and International PhD students, who intend to begin their PhD studies in 2019/2020.
Scholarship package: The scholarship consists of a full tuition at the Home/UK, EU or International student fee rate and a bursary of £14,553 in the first year (£1,212 per month), £14,815 in the second year (£1,234 per month) and £15,082 in the third year (£1,256 per month), which is subject to satisfactory annual performance and progression review.
How to apply:
Completed applications, including all relevant documents requested above should be submitted via-email to the External Engagement Assistants. Email address: firstname.lastname@example.org
Deadline: The closing date for the receipt of completed applications is Monday 11th December 2017 (23.59, BST).
Research degrees can represent a natural progression for the best graduates. They offer a valuable opportunity to build on promise and realise potential.
At the University of Huddersfield we support academic excellence through the Vice-Chancellor's Scholarships - a scheme that aims to provide the best students with free research degrees.
The highest-achieving students deserve every chance to earn higher-level qualifications.
This scheme reflects our commitment to giving the most promising graduates every possible encouragement to further their studies in a thriving research environment.
It also reflects our commitment to cementing the University of Huddersfield’s reputation as an internationally recognised research-led institution.
Professor Andrew Ball, Pro Vice-Chancellor for Research and Enterprise
The breadth of research degrees available at Huddersfield reflects the full range of fields in which the University advances research, innovation and collaboration, including:
The Vice-Chancellor's Scholarship is available to University of Huddersfield students, as follows:
To apply please complete our online research degree application form, making sure it is clearly marked that you are applying under the VC's initiative.
For more information please email email@example.com.
Six new fully funded PhD research studentships are offered in the School of Applied Sciences for a 23 September 2019 start. The School is made up of the Departments of Biological and Geographical Sciences, Chemical Sciences and Pharmaceutical Sciences.
There is competitive funding for 6 of the 12 research projects outlined. Usually the projects which receive the best applicants are funded.
If you are interested in any of these projects, please contact the relevant supervisor for an informal discussion. To apply, please send an email outlining your motivation and experience to firstname.lastname@example.org, including a CV and the names of two referees by 25 April 2019 (copy to the supervisor).
Successful applicants will be interviewed the week commencing 27 May 2019 which will include a 10-minute presentation of each candidate’s recent research.
Candidates may direct general enquiries to the Research Administration team in the School of Applied Sciences, email@example.com, 01484 47 1741/3160. General information about the School and research at the University is available on our website.
The studentships are open to citizens of the UK or EU only, and cover the full cost of tuition fees and an annual tax-free bursary of £15,009 for three years (RCUK rates). Successful applicants will have a very good first or upper second degree or Master’s degree in a relevant subject.
Following last year’s funding allocation, we are re-running the Proof of Concept (POC) research bursaries. We have funding allocated to support a number of research bursaries at UKRI level (currently £14,553), aimed primarily at the support of research studentships – either MRes or MEnt, however funding remains flexible to meet needs across as many situations as possible. Overall, the funding is to facilitate the further development and evaluation of promising pre-commercialisation opportunities, and therefore stimulate the commercialisation of early stage intellectual property emanating from the University of Huddersfield.
We are keen to foster collaborative activity between the UoH and our strategic partner NPL and will prioritise such applications. If any academic is keen to make links with potential collaborators in NPL please contact Barry Timmins as soon as possible who will facilitate links and introductions.
Depending on final budget availability we will allocate further funding to the successfully funded bursaries for consumables, travel and subsistence.
Following the outcomes of a research exercise undertaken on this year’s POC bursaries, we have aimed to enhance the guidance and information on the attached application form, as well as introduce some changes to bring improvements to the process as a whole.
Download the POC Bursary Application Form
Download an Invention Disclosure Form if required.
Key dates are:-
Application Submission by email to firstname.lastname@example.org end of Friday 1st June
Academic Notifications by email on Monday 4th June
Applications are invited for a fully funded EPSRC Industrial Case PhD studentship in the area of reality capture of infrastructure assets at the University of Huddersfield supported by Network Rail. Applicants should be of outstanding quality and exceptionally motivated. The studentships are renewable for up to 4 years, subject to satisfactory annual performance and progression review, and will provide for tuition fees, a tax-free stipend and research cost.
Please note that this is a competitive application process which including interviews. Shortlisted candidates will be contacted for an interview in person or via Skype. The most outstanding applicants will be offered the studentship.
The application form is available here: Studentship Application Form
Queries about the application process are welcome and should be directed by email to Julie Tierney J.Tierney@hud.ac.uk Informal enquiries about individual projects should be directed to the lead supervisor, Professor Song Wu (email@example.com).
Summary of Award
Type of Award
Industrial Case PhD Research Studentship
UK/EU applicants only; First Class or Upper Second Class Honours degree or equivalent in a relevant subject area (civil engineering, construction and computer science).
If you are an international applicant, please contact directly to the lead supervisor, Professor Song Wu (firstname.lastname@example.org)
4 years full time research covering tuition fees and a stipend of funding up to four years at £15,009 per annum for 2019-2020 and increasing in line with EPSRC guidelines for subsequent years
Additional funding up to £28,600 is available to cover research cost.
Funded via the Engineering and Physical Sciences Research Council Industrial Case Account and Network Rail
29 April 2019
Applicants should hold or expect to obtain a First Class or Upper Second Class Honours degree or equivalent in a relevant subject area.
Applicants will, normally, have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least three years prior to the start of the studentship. See https://epsrc.ukri.org/skills/students/help/eligibility/ for details.
Completed applications, including all relevant documents should be submitted via-email to J.Tierney@hud.ac.uk and should include the Project Reference in the subject of the email. Please note: if you do not attach all the relevant documentation prior to the closing date of 12 April 2019 your application will not be considered.
Discovering and assessing buried infrastructure elements with advanced sensing technology
The performance of buried structures such as tunnels, retaining walls relies on their material and structural integrity and their ability to resist external forces. They can be damaged by impacts, traffic and other structural loads, ground movements, scour, seismic activity and corrosion. Therefore, it is critical to have a good understanding of their condition through regular inspection. However, at present, it is extremely challenging to acquire meaningful condition data for the buried aging infrastructure elements due to lack of the basic design information and practical investigation method. This research aims to develop a method and related technologies to rapidly construct the Building Information Model (BIM) of the aging infrastructure elements and assess their condition through the use of data fusion concept with reality capture technologies and underground sensing technologies. The key objectives of the research are: