Posts Tagged “PhD Scholarships in England”
PhD in Natural Language Processing at Queen Mary University London
Level: PhD
Country: Please see eligibility criteria below
Value: Tuition fees and a London stipend of £19,668 per year
No. of awards: 9
Deadline: January 31st 2023
About the Studentships
The school of Electronic Engineering and Computer Science of the Queen Mary University of London is inviting applications for up to 9 PhD Studentships in specific areas in Electronic Engineering and Computer Science (please see the list of projects at the end of this page). The PhD studentships will cover tuition fees and offer a London stipend of £19,668 per year. The scholarships are open to both home and international candidates (please see below the eligibility criteria and the details on the tuition fees depending on the applicant status).
About the School of Electronic Engineering and Computer Science at Queen Mary
The PhD Studentship will be based in the School of Electronic Engineering and Computer Science (EECS) at Queen Mary University of London. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are 8th in the UK for computer science research (REF 2021) and 7th in the UK for engineering research (REF 2021). The School is a dynamic community of approximately 350 PhD students and 80 research assistants working on research centred around a number of research groups in several areas, including Antennas and Electromagnetics, Computing and Data Science, Communication Systems, Computer Vision, Cognitive Science, Digital Music, Games and AI, Multimedia and Vision, Networks, Risk and Information Management, Robotics and Theory
For further information about research in the school of Electronic Engineering and Computer Science, please visit: http://eecs.qmul.ac.uk/research/.
Who can apply
Queen Mary is on the lookout for the best and brightest students. A typical successful candidate:
- Should hold, or is expected to obtain an MSc in the Electronic Engineering, Computer Science, or a closely related discipline
- Having obtained distinction or first class level degree is highly desirable
Eligibility criteria and details of the different schemes
EPSRC-DTP:
- 3.5 years stipend and fees
- Details: Open to home and international students. Please note that the number of students with International fee status which can be recruited is capped according to the EPSRC terms and conditions so competition for International places is particularly strong.
- Expected start date: September 2023
Principal Scholarships:
- 3 years stipend and fees
- Details: Open to home students. Please note that the scheme covers stipend and home tuition fees – for candidates with international fee status the difference needs to be covered from other sources.
- Expected start date: September 2023
How to apply
Queen Mary is interested in developing the next generation of outstanding researchers and decided to invest in specific research areas. For further information about potential PhD projects and supervisors please see the list of the projects at the end of this page.
Applicants should work with their prospective supervisor and submit their application following the instructions at: http://eecs.qmul.ac.uk/phd/how-to-apply/
The application should include the following:
- CV (max 2 pages)
- Cover letter (max 4,500 characters) stating clearly in the first page whether you are eligible for a scholarship as a UK resident (see the link below)
- Research proposal (max 500 words)
- 2 References
- Certificate of English Language (for students whose first language is not English)
- Other Certificates
Please note that in order to qualify as a home student for the purpose of the scholarships, a student must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship. For more information please see: https://www.ukri.org/what-we-offer/developing-people-and-skills/esrc/funding-for-postgraduate-training-and-development/eligibility-for-studentship-funding/
Application Deadline
The deadline for applications is the 31st of January 2023.
For general enquiries contact Mrs. Melissa Yeo [email protected] (administrative enquiries) or Professor Ioannis Patras [email protected] (academic enquiries) with the subject “EECS 2023 PhD scholarships enquiry”.
Location : London
Closing Date : 31st of January 2023
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
PhD in Improving project cost estimates using Artificial Intelligence and Machine Learning
Introduction
An exciting opportunity to apply for eight fully funded PhD positions in the College of Arts, Technology and Environment, UWE Bristol.
Ref: 2223-APR-CATE15
The expected start date of these studentships is 1 April 2023.
The closing date for applications is 8 January 2023.
Please note: out of the eight projects being advertised for the CATE Studentships 2022. The projects for funding will be selected based on the merit of applicants following the process outlined below.
Studentship details
Construction projects notoriously suffer from poor cost prediction and cost-overrun. Poor cost performance remains a challenge for the construction industry worldwide. Despite recent methodological and technological advances in the field, project-cost overrun remains a significant challenge for the industry. Government has emphasised the need for the industry to transform, from a management-focused change agenda to one that is more technocentric that views digital technologies and other Industry 4.0-enabling technologies as initiatives to enhance the industry.
This doctoral study will propose practical digital solutions that can overcome the challenges and promote the opportunities to improve cost performance of construction projects using Artificial Intelligence (AI) and Machine Learning (ML). Use of AI has helped to achieve significant enhancement of service processes and industry productivity in recent years, alongside enhance automation, and provides competitive advantage as compared to conventional approaches. This research aims to develop a novel approach which will adopt AI in the interpretation and analysis of cost data that would generate more accurate and reliable order of cost estimates (OCE) and related cost risk assessment for construction projects. It will use AI and Machine Learning techniques to mine historic data of disparate quality and formats to enable its analysis and, to extend the techniques to produce more accurate cost predictions. This approach also has the potential to deliver improved cost management by shining light on the drivers of high costs and providing the evidence needed for improved cost prediction, analysis and reduction.
This project will lie at the interface between built environment and data science/AI, and motivated applicants from disciplines related to either field are welcomed but must be able to work well as a part of a multi-disciplinary team. The scope of the project can be tailored as required and the successful applicant will be supported by a multi-disciplinary team of supervisors.
The successful candidate will be a member of the Centre for Architecture and Built Environment Research Centre for Architecture and Built Environment Research (CABER). CABER seeks to develop innovative approaches, procedures, technologies and techniques that support the design, management, reconfiguration, maintenance and operation of buildings, their fabric and the environments they create. In the recent Research Assessment Exercise 88% of research in ABE was judged to be Internationally Excellent or World Leading.
For an informal discussion about the studentship, please email Dr Ndibarafinia Young Tobin at [email protected].
You can also contact Professor Jessica Lamond at [email protected] or Dr Stephen Hall at [email protected] about the studentship programme.
Funding
The studentship is available from 01 April 2023 for a period of three and half years, subject to satisfactory progress and includes a tax exempt stipend, which is currently £17,668 per annum.
In addition, full-time tuition fees will be covered for up to three years.
Eligibility
Applicants must have a Bachelor’s degree in quantity surveying/ construction project management/ construction management/ or related construction degree.
Ideally the candidate will have some of the following:
- a Master’s degree or equivalent research experience
- experience in /familiarity with the UK’s construction industry
- a background in workplace design/management
- knowledge of qualitative research methods, research integrity and ethics
- Ability to learn new fields of application of data science.
Relevant experience:
- AI/Machine Learning tools and techniques
- Experience in AI and cost estimating.
A recognised English language qualification is required.
How to apply
Please submit your application online. When prompted use the reference number 2223-APR-CATE15.
Supporting documentation: You will need to upload your research proposal, all your degree certificates and transcripts and your proof of English language proficiency as attachments to your application, so please have these available when you complete the application form.
References: You will need to provide details of two referees as part of your application. At least one referee must be an academic referee from the institution that conferred your highest degree. Your referee will be asked for a reference at the time you submit your application, so please ensure that your nominated referees are willing and able to provide references within 14 days of your application being submitted.
Location : Bristol
Closing Date : 08 January 2023.
Click Here to Submit your Application on the University Website
Further Information
It is expected that interviews will take place on weeks commencing 20 February 2023. If you have not heard from us by February, we thank you for your application but on this occasion you have not been successful
PhD in Computer vision and artificial intelligence at Edge Hill University
Graduate School
Salary: Each GTA studentship includes a ‘package’ with a total value just under £26,000 per annum for UK based applicants and over £34,000 for international applicants per annum. Commencing Saturday 30 September 2023.
Post Type: Full Time
Reference: GTA18-1122
A fantastic opportunity to study for a 3-year funded doctorate whilst gaining valuable teaching experience.
About the Research Project
All advertised projects for this research area can be found here.
Please direct any questions about the project to Professor Ardhendu Behera ([email protected]) in advance of submitting your application.
To apply for this research area, please scroll to the bottom of the page and click the ‘apply’ button. Contact [email protected] if you have difficulty accessing the form.
About You
You will have a 2.1 or above undergraduate degree in a relevant subject, whilst a Masters degree would also be an advantage. You should have a passion for pursuing original research in your subject area along with the desire to develop your teaching ability by supporting an experienced and dynamic undergraduate programme team.
Highly motivated, resilient and with the determination to succeed, you will be committed to undertaking a PhD and will possess strong written and oral communication skills along with excellent organisational skills.
Please note:
- If you already have a PhD in the research area you are applying for, your application will not normally be considered unless submitted for a suitably different research area.
- Applicants who have applied more than two times previously should not normally apply again with the same research project.
About the Graduate Teaching Assistant Role
Graduate Teaching Assistants hold a unique position in the University, being both registered postgraduate researchers (PGRs) and carrying out teaching/teaching support duties.
PGRs will be expected to:
- Complete a programme of researcher development sessions.
- Undertake tailored continuing researcher development.
- Complete a programme of training in teaching in Higher Education.
- Complete a PhD programme of research under the guidance of an appointed supervisory team.
- Undertake up to six hours teaching a week as directed by the Head of Department.
- Undertake up to nine hours per week of marking and preparation.
- Enhance the research culture of the department in which they are located, and of the University as a whole, by participating in development activities including publication and presenting at conferences.
Rewards & Benefits
We want you to feel happy when you come to work and proud when you go home. From the moment you join us you have the opportunity to enhance your skills. In addition to having the opportunity to enrol on our Postgraduate Certificate in Teaching in Higher Education (PGCTHE) to support your professional development, we offer a range of specialist development sessions and courses. In addition to the wide range of development opportunities available, the University has a strong focus on the wellbeing of its staff. You will have access to an award-winning staff health & wellbeing programme, benefit from discounted membership to our state-of-the-art sport and leisure facilities and so much more. This is just a taste of what we can offer you at Edge Hill University.
Each GTA studentship includes a ‘package’ with a total value just under £26,000 per annum for UK based applicants and over £34,000 for international applicants per annum. This includes:
- Overall payment of £17,668 per annum which is aligned with the UKRI rate. This is split into a salary of £12,168 per annum and £5,500 per annum tax free to contribute to the cost of accommodation
- Full waiver of research degree tuition fees worth approximately £4,700 per annum for UK PGRs and £14,000 per annum for international PGRs
- Full waiver of the Postgraduate Certificate in Teaching in Higher Education tuition fee (worth approximately £1740)
- Entitlement to sick pay, maternity, paternity, and shared parental leave, in accordance with University policies and procedures.
Applicant Guidance
- Applicant guidance: Applicant guidance can be found here. Please read this before applying.
- Project contact: Staff contacts for each research area can be found on the webpage lined under ‘about the research project’ above. You are strongly encouraged to speak with them about the area you are interested in, in order to identify a prospective supervisor in advance of applying.
- Job description and person specification: You should read the job description and person specification carefully.
How to Apply
At Edge Hill University we value the benefits a rich and diverse workforce brings to our community and therefore welcome applications from all sections of society.
Applicants must complete the online application form via www.edgehill.ac.uk/jobs and attach 5 separate documents in the following order:
- A ‘Research Proposal’ which should not exceed 2,000 words
- A full academic curriculum vitae
- Qualification certificates – please ensure these are translated into English
- Scanned copy of your passport
- IELTs, or equivalent, paperwork – click here for detailed guidance (international and EU applications only).
- It is very important you review the guidance and seek clarification regarding this paperwork before applying if you have any questions.
- Letters of recommendation, or requests to waive the language entry requirements, will not be accepted.
Applications without the above paperwork will not be considered for shortlisting.
To apply for this research area, please scroll to the bottom of the page and click the ‘apply’ button. Contact [email protected] if you have difficulty accessing the form.
Interview Arrangements
Interviews are expected to be held in March 2023. The exact date will be confirmed in due course. Panel availability is limited. Shortlisted candidates will be offered one interview slot only.
Project Information is available alongside the job description above.
Key Contacts
Please think about the support you need and contact one of the areas directly.
- Research project and supervision questions: see the details under ‘about the research project’ to speak with the research degree contact responsible for your area of interest
- Application form and employment questions: please contact [email protected]
- PhD registration and qualification questions: please contact [email protected]
Staff availability
Please note that the university is closed from the evening of the 22nd December 2022 until 3rd January 2023. Staff will respond to you upon their return. It is highly advised that you speak with staff at the earliest opportunity to avoid encountering any delays due to the scheduled break.
Location : England
Closing Date : 09 January 2023
Click Here to Submit your Application on the University Website
PhD in Artificial Intelligence and Music at Queen Mary University London
UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM)
12+ Fully-funded PhD studentships to start September 2023
Call open to UK Home and International student applicants
Covers fees and a stipend for four years
Application deadline: 31 January 2023
Why apply to the AIM Programme?
- 4-year fully-funded PhD studentships available
- Extensive choice of projects, drawing on a supervisory team of over 30 academics
- Access to cutting-edge facilities and expertise in artificial intelligence (AI) and music/audio technology
- Comprehensive technical training at the intersection of AI and music through a personalized programme
- Partnerships with over 25 companies and cultural institutions in the music, audio and creative sectors
For more information on the AIM Programme structure click here.
Who should apply?
We are on the lookout for outstanding students interested in the intersection of music/audio technology and AI. Successful applicants will have the following profile:
- Hold or be completing a Masters degree at distinction or first class level, or equivalent, in Computer Science, Electronic Engineering, Music/Audio Technology, Physics, Mathematics, or Psychology. We also accept applicants holding or completing a Masters degree at distinction or first class level, or equivalent, in Music Performance/Composition or Musicology, provided that the applicant has a suitable technical background to undertake a PhD in AI and Music. In exceptional circumstances we accept applicants with a first class Bachelors degree who do not hold a Masters degree, provided that applicants can provide evidence of equivalent research experience, industry experience, or specialist training.
- Programming skills are strongly desirable; however we do not consider this to be an essential criterion if candidates have complementary strengths.
- Musical training (any of performance, production, composition or theory) is desirable but not a prerequisite.
For this call we are accepting applications from UK Home students and International students, as well as students supported by national and international funding bodies, such as the China Scholarship Council (CSC), CONACYT, and the Commonwealth PhD Scholarships scheme. Queen Mary’s commitment to our diverse and inclusive community is embedded in our student admissions processes. We particularly welcome applications from women and under-represented groups, and from applicants in all stages of life.
Funding
We have 12+ fully-funded 4-year PhD studentships available for students starting in September 2023 which will cover the cost of tuition fees and will provide an annual tax-free stipend (£19,668 in 2022/23). The CDT will also provide funding for conference travel, equipment, and for attending other CDT-related events. For more information on external PhD studentships and self-funded please visit http://www.aim.qmul.ac.uk/apply .
External PhD studentships
The AIM programme welcomes applications from students who have sponsorship for PhD study from numerous international funding agencies including:
China Scholarship Council (CSC)
Commonwealth PhD Scholarships
CONACYT (Mexico)
Higher Education Commission, Pakistan
Islamic Development Bank
Please see the PhD funding page for full details of Queen Mary’s funding partners, including other schemes not listed here.
Important information for CSC applicants: the AIM programme is able to offer tuition fee waivers to applicants who receive PhD studentships from the China Scholarship Council (CSC). Applications must state on their application form that they intend to apply for CSC funding. Following the PhD offer acceptance, applicants will then need to submit a separate studentship application to the CSC. Following a change in CSC regulations, applicants should ensure that they have met the English language requirements by the point of offer in order to be eligible for CSC funding.
Self-Funding
It is always possible to apply to the AIM programme as a self-funded student or with funding from another source. Please be aware that you will need to be able to prove that you have the funding to cover the tuition fees, living costs, and the additional travel and accommodation costs required for this course.
Tuition fees vary according to your fee status. To discuss living costs, tuition fees and additional programme costs, please contact us at [email protected]
Visa fees and healthcare surcharge
Please note that for international students on a student visa, the AIM programme is not able to cover any visa application fees and/or the healthcare surcharge (currently at £400 per year).
How to apply
To apply for the AIM PhD Programme, complete the online application form which can be found at:
https://mysis.qmul.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RFQM-G4ZG-09&code2=0005
The deadline for applications is on 31 January 2023 (23:59 GMT). Interviews are expected to take place in early March. Decision notifications will be sent in April and May.
What you should include in your application:
- Fully complete application form, transcripts of your previous degree(s), and a Curriculum Vitae PDF document. Overseas applicants from non-English speaking countries must include a proof of English language ability (see details on English requirements below).
- A two page A4 “Research Proposal” – a PDF document in which you provide a description of your top choice of PhD topic. You can either: (i) Select a PhD topic from the list of suggested AIM PhD topics; or (ii) Propose your own PhD topic, which will have to fall in the intersection of Artificial Intelligence and Music. In your research proposal, we strongly encourage you to list up to 3 PhD topics in order of preference, either from the list of suggested AIM topics or based on your own suggested topic(s). You should describe only one topic in detail in your research proposal document. You should use 11pt fonts in the document; references do not count in the page limits. We encourage you to contact your chosen supervisor for an informal discussion – this will also help you to put together your research proposal, which is an integral part of your application. Note: submission of a research proposal is mandatory, irrespectively if you are choosing a topic from the pool of suggested PhD topics or if you are proposing your own topic; applications without a research proposal will not be considered.
- A one page A4 “Personal Statement” – a PDF document in which you set out your previous academic or other experience relevant to your proposed research interests, why you wish to undertake this research at QMUL, and why you want to do the AIM PhD – think of it like a covering letter to explain why you want to apply for the AIM PhD.
- Two references are required – either two academic, or one academic and one work related reference. Your academic referee must be able to comment on the standard of your academic work and suitability for postgraduate level study. Where appropriate, a second referee can provide comment on your professional experience (if you are unable to obtain references prior to submission please send/ask your referee to send it to the following email address, including the application number in the subject: [email protected]).
- Select a supervisor – in case you have chosen a PhD topic from the list of suggested AIM PhD topics, this would be the topic’s respective supervisor. In case you are suggesting your own topic, have a look at the list of academics at the School of EECS: http://eecs.qmul.ac.uk/people/academic/ and the research groups in the School: http://eecs.qmul.ac.uk/research/research-groups/. Make sure to contact possible supervisors in advance and agree who would be you supervisor and what the topic would be.
- In the box “How do you intend to finance your studies at Queen Mary” – if you are not looking for a scholarship and you will be self-funded please state “self-funded”. If you have or are applying for another source of funding such as China Scholarship Council please state this.
Additional tips for completing your application:
- The online application link above will take you directly to the “PhD FT Artificial Intelligence and Music – Semester 1 start” application form (Course reference RFQM-G4ZG-09). Please use that link to complete your application.
- Note that each new PhD cohort starts in September, you cannot start at any other time of the year.
- For faster processing of your application, please submit all application documents in PDF format (please avoid uploading DOC, DOCX, JPG, PNG etc files).
- Please note: We will share the application details you submit to Queen Mary with the AIM programme industry/academic partners (when the proposed or selected project you have applied for involves an external partner) since it will be necessary for admission selection and the performance of any contract between you and Queen Mary/AIM CDT. Please refer to the privacy notice for applicants and our Data Protection Policy for further information.
- If you are an overseas student there is helpful advice on our International pages and on the UK Council for International Student Affairs website.
- The standard requirement for English at the School of EECS is IELTS 6.5 overall or an equivalent certificate. More details about language requirements for postgraduate research students in the School of Electronic Engineering and Computer Science can be found in the international students section.
- If you have a serious problem with the online application form please email [email protected]. For informal enquiries related to the AIM Programme and application process please email any questions to [email protected]
- We strongly encourage you to list in your application more than one PhD topic, preferably 3 topics (this information should be stated in the research proposal document).
- In the online application form, under section “Other Information”: for question “How do you intend to finance your studies at Queen Mary University of London?” please use the “I am a QMUL PG Research Studentship applicant” response.
- The AIM PhD Programme is a four year full-time programme and you must be able to commit full-time to the programme. In exceptional circumstances the programme allows for part-time study at 50% minimum; if you wish to be considered for part-time study, please include your justification for part-time study in a cover letter submitted with your application.
- We recommend applicants to check these 3 resources:
- FindaPhD – Writing a Good PhD Research Proposal: https://www.findaphd.com/advice/finding/writing-phd-research-proposal.aspx
- QMUL DCE CDT website – it has presentation slides and video recordings of some workshops run by the CDT with guidelines on writing your research proposal: https://www.qmul.ac.uk/dce/applications/
- IGGI CDT website – on recommendations for writing a research proposal.
Location : London
Closing Date : 31 January 2023
Click Here to Submit your Application on the University Website
PhD in Exploring Decision-making Around Data Access at University of West England
Introduction
College of Business and Law at the University of the West of England in Bristol invites applications for a fully funded PhD studentship in Data Science on the topic of “Exploring Decision-making Around Data Access”.
Start date of this studentship: 1 April 2023
Studentship details
Greater availability of confidential government data for research has dramatically increased the opportunities for policy-relevant social science analysis. This has been driven by two factors: technological and procedural developments allowing highly secure but researcher-friendly analysis environments, and legislative changes.
However, there are still significant barriers to greater use of public data resources, and these arise partly from the institutional structure of government. These barriers can arise at different stages: at the conceptual level of granting access to data sources, when determining rules for using the data, when reviewing specific applications.
This PhD will investigate these institutional barriers. The PhD proposal may seek to explore the topic from an economic, psychological, organisational or other perspective, but should include a strategic concept of primary research using interviews with relevant parties. The PhD candidate will be able to draw on DRAGoN’s extensive network of contacts, but will also be expected to develop their own sources of information.
The researcher experience is central to an understanding of data access processes. We therefore expect that the PhD candidate will either have experience of using confidential data facilities such as the Secure Research Service, Secure Data Service, eDRIS or SAIL, or would be willing to work with UWE microdata researchers to develop that experience.
The studentship reflect ongoing commitment of the College of Business and Law at UWE to the development of its doctoral programmes.
Prospective student will be based in the Bristol Business School, which is home to several multidisciplinary research groups.
Doctoral students at the College benefit from comprehensive support and guidance from UWE Doctoral Academy, including extensive professional development programme, research skills training and careers advice. Find out more about the Doctoral Academy.
For an informal discussion about the studentship, please contact Director of Doctoral Research, Dr Pawel Capik at [email protected].
For an informal discussion about the project proposal please contact Professor Felix Ritchie at [email protected].
Funding
Studentship is available from 1 April 2023 for three years, subject to satisfactory progress, and includes tax exempt stipend at £17,668 per annum.
Full-time home/international tuition fees will be covered for up to three years.
Eligibility
Applicants must have at least 2.1 degree in economics, management or cognate discipline, and preferably Masters degree (with average programme mark of no less than 65%, UK grading scale or international equivalent).
A recognised English language qualification is required. IELTS score of 7.0 overall, or equivalent.
How to apply
- Prepare your research proposal (no more than 5 pages all-inclusive; font size 11, 1.5-spacing, 2-inch margins). This should ideally happen in consultation with the potential supervisor.
- You should contact the potential supervisor with an advanced draft of the proposal to confirm they are willing to support your application.
- Submit your formal application online. When prompted use the reference number 2223-APR-FBL05
Supporting documentation: you will need to upload your research proposal, all your degree certificates and transcripts and your proof of English language proficiency as attachments to your application so please have these available when you complete the form.
References: you will need to provide details of two referees as part of your application. At least one referee must be an academic referee from the institution that conferred your highest degree. Your referee will be asked for a reference at the time you submit your application, so please ensure that your nominated referees are willing and able to provide references within 14 days of your application being submitted.
Location : Bristol, England, UK
Closing Date : 15 January 2023 18:00 pm (UK time)
Click Here to Submit your Application on the University Website
Further Information
Interviews will take place in February. If you have not heard from us by 31 January 2023, we thank you for your application but on this occasion you have not been successful.