PhD Funding and Studentships
PhD funding sources.
There are a number of sources of PhD degree funding available including doctoral loans, PhD scholarships and studentships.
You will need to check that you meet our PhD degree requirements before applying for funding.
We also encourage you to approach other sources (such as your home government, Ministry of Education or employer) to enquire if they have any funding schemes available to which you can apply.
Contact the Doctoral Programmes Office:
HUMS.doctoralacademy.admissions@manchester.ac.uk
+44 (0)161 275 1200
PhD Funding opportunities
Doctoral Loans
If you are an eligible postgraduate Doctoral student, you can apply for a loan of up to £25,000 to contribute to overall costs.
ESRC Open Studentship (Closed)
MRes & PhD (1+4) Programme
PhD (+4) Programme
Alliance Manchester Business School as part of the North-West Social Science Doctoral Training Partnership (NWSSDTP) - a major collaboration between the Universities of Manchester, Lancaster, Liverpool and Keele - is recruiting outstanding candidates for ESRC studentships commencing September 2023 through the ‘Accounting & Finance’, ‘Business & Management’ and ‘Science, Technology & Innovation Policy’ pathways.
NWSSDTP studentships are open to both Home and International candidates (including EU and EEA). Applicants are advised to read the ESRC guidance and information on the NWSSDTP website carefully before applying. From the current competition onwards, three directed studentships will be awarded annually to students from Global Majority communities.
Awards are also available in the following Priority Areas:
- Advanced Quantitative Methods
- Use of ESRC data sets
- Interdisciplinary research, which straddles other research council remits
Criteria
PhD (+4) applicants must have obtained a First or Upper Second Class Honours degree (or equivalent) and hold or expect to obtain a Masters-level qualification with Distinction.
Exceptional Undergraduate students who hold or expect to obtain a First or Upper Second Class Honours degree (or equivalent) may apply to study as 1+4 applicants.
How to apply
To be considered for one of these awards, there is a dual application procedure. Candidates must submit the following:
- Alliance Manchester Business School PhD online application (with supporting documents). Applicants are encouraged to submit their complete application as soon as possible but no later than 9 December 2022
AND
• ESRC NWSSDTP application form via email to lynne.barlow-cheetham@manchester.ac.uk by 1 February 2023.
However, early applications are strongly recommended.
Enquiries
Details are available on the NWSSDTP website
Contact the Doctoral Programmes Office at ambs-pgresearch@manchester.ac.uk
EPSRC DTP Studentships 2022/23 (Closed)
The Faculty of Humanities is offering one full-time PhD studentship under the EPSRC Doctoral Training Partnership (DTP) scheme for candidates commencing PhD studies in September 2022. The studentship comprises full-time tuition fees at the (Home) UKRI approved rate, an annual stipend starting at approx. £15,609 and £1,000 per year research training support grant.
Eligibility criteria
1. The award is open to ‘Home’ candidates.
2. Candidates must have an Upper Second Class Honours degree or above and a Masters degree with an overall mark of 60% or above, or an equivalent combination of qualifications and/or experience. Additionally, they are expected to meet the specific requirements of the intended PhD programme.
3. The proposed research project must be within the remit of EPSRC’s research themes as follow:
- Artificial intelligence and robotics
- Digital economy
- Energy
- Engineering
- Global uncertainties
- Healthcare technologies
- Information and communication technologies (ICT)
- Living with environmental change (LWEC)
- Manufacturing the future
- Mathematical sciences
- Physical sciences
- Quantum technologies
- Research infrastructure
Candidates and supervisors should consult the EPSRC website for further details of the eligible research areas and themes.
Selection Process
Alliance Manchester Business School is able to nominate up to two candidates of high calibre whose research projects are aligned with EPSRC research theme(s). Due to the nature of EPSRC’s research priorities, it is expected that the number of nominations in each school will vary according to the relevance of the above themes. Nominations will be scored based on:
- Proposal quality and research potential
- Academic track record
How to apply
Candidates should submit an Alliance MBS PhD application and indicate that they wish to be considered for this funding opportunity. If your application is chosen for nomination, you will be asked to provide the following documents, which will form part of the nomination:
- Research proposal maximum of 1,500 words excluding references. Over-length proposals will be automatically excluded from the Faculty consideration.
- A separate statement of fit to EPSRC research themes (maximum 250 words)
Application Deadline: 21 February 2022
Research Impact PhD Scholarships (closed)
Three PhD scholarships are available for doctoral studies in the Faculty of Humanities, The University of Manchester, commencing 2020-21. The funds are made available through the Division of Development and Alumni Relations (DDAR) from donation to The University of Manchester (please see https://your.manchester.ac.uk/ for more information).
The scholarship value is £19,500 per year for three years to cover tuition fees and maintenance allowance. Additional funding of up to £1,500 per year is available to support placement, overseas institutional visit, research training and conference attendance at the discretion of the Faculty PGR Committee Chair.
Eligibility criteria
- Applicants must hold a 2:1 Honours and Masters degrees from a reputable higher education institution and meet the other entry requirements of the PhD programme they wish to join.
- Applicants may be of any nationality and residency status.
- Their proposed research project must be related to one of the University's philanthropic research themes
Although not a requirement, priority is given to candidates who have identified or developed a potential opportunity to undertake doctoral placement and/or overseas institutional visit during their PhD.
How to Apply
Candidates must submit the following:
- Alliance Manchester Business School PhD application (with supporting documents) online. You should indicate in your application that you are applying for Research Impact funding.
and
Your application will be considered for admission for the PhD programme. The School will be able to nominate up to 2 candidates of high calibre and whose research project is related to the above research theme(s). All school nominations will then be considered by the Faculty committee to select the top two Faculty nominations to be submitted to DDAR.
Application Deadline: 13 March 2020
Enquiries
For queries regarding the PhD programme and application process, please contact the Doctoral Programmes Office at Alliance Manchester Business School: mbs-pgresearch@manchester.ac.uk
RADMA Doctoral Studies Funding 2023/24 (Closed)
The RADMA 2023 Doctoral Studies Funding call is now open to fund students from September 2023 onwards.
The award is focused on supporting students of research technology and innovation management and is closely associated with the R&D Management journal and conferences. It provides up to three years’ funding to talented prospective or mid-study PhD students. The expectation is that candidates will have a Master's degree in a relevant field or an excellent first degree or equivalent. Candidates will be expected to complete yearly progress reports and make a copy of their thesis available to RADMA upon its completion.
Eligibility
To be eligible for funding, you must be accepted for PhD study at a UK university (see “How to Apply” below). Applications for the funding must be supported by your PhD supervisor. Awards will be granted to, and administered through, the institution and not individual candidates. The award will cover costs related to fees and specified living expenses up to a maximum of £20,109 per academic year (pro-rata for part-time students; partial funding is a possibility) and conditional upon the receipt of acceptable annual progress reports.
For the full call for proposals, RADMA funding application forms, and terms and conditions, visit the RADMA website >>
How to Apply
There is a dual application procedure and you must submit the following:
- An Alliance MBS PhD application form (with supporting documents) by 9 January 2023. You should indicate in your application that you are applying for RADMA funding. You must also hold an offer for the PhD by 21 February 2023.
- A RADMA funding application form and Application Spreadsheet (with supporting documents, specified by RADMA) via email to info@radma.net by 28 February 2023.
Enquiries
For queries regarding the PhD programme and application process, please contact the Doctoral Programmes Office at Alliance Manchester Business School: ambs-pgresearch@manchester.ac.uk
If you have any further questions about this funding, visit the RADMA website or contact RADMA directly at info@radma.net.
The University of Manchester President’s Doctoral Scholar Awards 2023/24 (Open)
This flagship funding scheme will give the most outstanding 'Home' candidates a foundation to support research training with prominent academics across a full range of subjects. You also have the opportunity to:
- Attend a series of exclusive events where you will have the opportunity to meet The University of Manchester President and Vice-Chancellor, interact closely with our academic community and network with other PDS Award students
- Benefit from international research leadership under distinguished scholars
- Become a PDS Award ambassador for the University
- Receive a President's Doctoral Scholar medal
- Benefit from our extensive postgraduate researcher development and training
The Scholarship
These awards offer four years’ funding, including doctoral programme tuition fees and a stipend of approximately £17,668 per year. In addition, the PDS Award entitles you to an additional £1,000 per year enhancement to your stipend.
All researchers receive a generous research support and conference allowance, plus access to:
- A robust doctoral research training programme
- Dedicated research resources (including world-class databases)
- Training in transferable skills
- A visiting speaker seminar programme
- The opportunity to associate with existing research centres and groups.
In addition, all researchers are encouraged to undertake training and development in teaching and deliver teaching and/or research assistantship duties on a paid basis to further enhance their experience in preparation for their future careers.
Entry requirements
Applicants must have obtained a First or Upper Second Class Honours degree (or equivalent) and hold or expect to obtain a Masters level qualification with Distinction. English Language requirements (where required) are IELTS 7.0, TOEFL 623 (100 internet-based test), PTE 76.
In addition, candidates must demonstrate outstanding standards, indicated by one or more of the following:
- Outstanding professional qualification and/or experience;
- Relevant practical or professional achievement/prizes;
- Potential for research output, international collaboration, leadership or public engagement;
- Preparedness for research (e.g. motivation, critical and analytical abilities, technical skills relevant to the proposed research)
Scholarships are awarded on a competitive basis to those applicants with an offer of a place on one of the following PhD programmes for September 2022 entry:
How to apply
To be considered for one of these awards, candidates should submit a PhD application and indicate that they wish to be considered for this funding opportunity. Decisions are based on your academic track record and evidence of your research potential.
Application deadline: 24 February 2023
Candidates are strongly advised to submit their applications as early as possible. Candidates who do not submit the required supporting documents by the deadline will not be considered.
Enquiries
Contact the Doctoral Programmes Office: HUMS.doctoralacademy.admissions@manchester.ac.uk
EPSRC/SLB Systems INDUSTRIAL CASE PhD Studentship “Co-op-Solve-M: A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous Problems with Multiple Objectives”
A full-time PhD research studentship, including full stipend and tuition fee costs, is available for 4 years starting September 2023. The PhD student will conduct research as part of the EPSRC Industrial CASE Award-funded project “Co-op-Solve-M: A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous Problems with Multiple Objectives”.
EPSRC Industrial CASE Awards are flagship collaboration projects between industry and academia, aiming to create the research scientists of tomorrow and deliver real value to all stakeholders. This project is only available for UK (Home) students.
The theme of the PhD project:
Rapid developments needed in new energy technologies (e.g. for scalable generation plants that can provide a continuous supply) will depend upon solving linked and large-scale global optimization problems. Whereas algorithms for academic benchmark problems are well-studied, progress in more realistic optimization settings is being stifled by a lack of deep understanding. Most real problems are multi-objective and are composites of several problem types, and what’s needed is a deep dive into how to efficiently solve such problems cooperatively. There are a number of distinct but related research threads that can be brought together to tackle this challenge and make progress. These include using teams of single-objective solvers to cooperatively tackle multiobjective problems; automatic algorithm configuration and selection methods that can combine and tune algorithmic components; and so-called 'interwoven’ problems. Our aim will be to discover common principles among these ideas and bring them together into a new paradigm.
For more details about this project, please see the webpage: https://lopez-ibanez.eu/icase-phd-2023
Supervision:
The successful candidate will be supervised by Dr. Manuel López-Ibáñez (The University of Manchester). Prof Joshua Knowles (SLB) will act as external supervisor and lead the industrial input into this research.
The University of Manchester (UoM) has a strong academic track record in AI and Optimization with staff publishing in leading international academic journals and conferences. UoM is also a University Partner of The Alan Turing Institute, the UK's national institute for Data Science and Artificial Intelligence.
Nature of the studentship:
The studentship will commence in September 2023 and will be available for four years, with a stipend equivalent to UKRI rates (the rate was £17,668 tax-free for 2022/23; this is subject to change for future years), plus a top-up stipend from SLB, resulting in an annual stipend of at least £20,500 tax-free. In addition to this stipend, the scholarship covers full university tuition fees, and travel support for fieldwork, conferences and annual visits to SLB.
Entry Requirements:
Applications are sought from talented and motivated UK (Home) candidates with an academic background in at least one of these fields: Computer Science, Mathematics, Statistics, Operations Research, Data Science, Machine Learning, Industrial / Business Engineering or Business Analytics.
Applicants must have a First or Upper Second Class Honours degree (or equivalent) and hold or expect to obtain a Masters level qualification with Distinction. English Language requirements (where required) are IELTS 7.0, TOEFL 623 (100 ibt), PTE 76.
Application:
Candidates should submit a PhD application for the PhD Business & Management, and indicate that they wish to be considered for the EPSRC/SLB INDUSTRIAL CASE PhD Studentship for “Co-op-Solve-M: A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous Problems with Multiple Objectives”.
The application must contain the following:
• A research proposal (500-1000 words) related to the topic, and
• A written statement clearly indicating how your research competencies and interests to date are aligned with the specific nature of the PhD project.
You are strongly advised to submit your application as early as possible. If you do not submit the required supporting documents outlined above by the deadline, your application will not be considered.
Application Deadline:
10 April 2023
Enquiries:
If you are interested in this project, please get in touch with Dr. Manuel López-Ibáñez (manuel.lopez-ibanez@manchester.ac.uk) with an up-to-date CV including any publication profile.
For questions related to your application, contact Lynne Barlow-Cheetham (HUMS.doctoralacademy.admissions@manchester.ac.uk)
Alliance Manchester Business School PhD Scholarships (Open)
PhD Accounting and Finance
PhD Business and Management
PhD Science, Technology and Innovation Policy
Alliance Manchester Business School (Alliance MBS) is committed to recruiting the highest calibre PhD researchers from across the globe. We are offering a significant number of fully-funded PhD studentships to outstanding candidates wishing to commence their PhD research at Alliance MBS in September 2023.
About Alliance MBS
Inspired by Manchester’s history as a world leader in enterprise, innovation and creativity, Alliance MBS’ research ethos can be defined as “Original Thinking Applied”. We combine cutting-edge and intellectually influential research with a desire to translate this into knowledge and impact on policy and practice.
Alliance MBS is one of a select number of business schools to be triple-accredited by AMBA, AACSB and EQUIS, and features in the world’s leading rankings. These include the 2020 University Impact Ranking, 2021 QS World University Ranking, and 2020 Times Higher Education (THE) World University Ranking.
We are one of the largest and most diverse business schools in the country. The recent £92 million investment into our new building provides state-of-the-art facilities to support our world-leading research. This includes a new data visualisation observatory and behavioural research laboratory.
We are also home to a number of leading research institutes and initiatives, including the Work and Equalities Institute, Manchester Institute of Innovation Research, Sustainable Consumption Institute and a recently launched £32million Productivity Institute. Much of our work is aligned to the wider University’s research beacons (e.g. global inequalities), which means that you will be joining an interdisciplinary community of world-leading scholars.
Our PhD studentships
These PhD studentships offer four years’ funding, including doctoral programme tuition fees and a stipend of approximately £17,668 per year. All researchers receive a generous research support and conference allowance, plus access to:
- A robust doctoral research training programme
- Dedicated research resources (including world-class databases)
- Training in transferable skills
- A visiting speaker seminar programme
- The opportunity to associate with existing research centres and groups.
In addition, all researchers are encouraged to undertake training and development in teaching and deliver teaching and/or research assistantship duties on a paid basis to further enhance their experience in preparation for their future careers.
Applications are sought from exceptional UK, EU and international students with outstanding academic backgrounds and research proposals in the following areas:
- The future of finance and capital markets
- Investment megatrends
- The regulation of the accounting profession, corporate finance and ethical governance
- New insights into audit practice, standard-setting and oversight systems
- The impact of the fintech revolution
- Business practices & employment in the 21st century:
- Improving productivity and living standards
- Business transformations and work futures
- Fair treatment at work
- Inequalities and the life course
- Regulation and representation
- Healthy workplaces and wellbeing
- Decision making & accountability in an uncertain world:
- Critical management studies
- Behavioural science and business decision making
- Multiple criteria decision analysis and decision support systems
- The role of data science in new business practices
- Socially responsible innovation and global economic growth:
- International business and management
- Innovation management, business models and ecosystems
- Sustainable innovation and systems transitions
- Operations, project and supply chain management
- Marketing, including corporate social responsibility, business to business, international marketing and retailing
- Health innovation management
- Strategy
PhD Science, Technology and Innovation Policy
- Assessment and governance of emerging technologies
- Responsibility in research and innovation
- Managing and measuring policy
- Knowledge production, innovation, technology deployment, and user engagement
- Roles of universities, public research centres, and other organisations in science and innovation
- Evaluation, foresight and strategic intelligence in science, technology and innovation policy
- How societal, economic and state factors interact to shape the production of scientific knowledge and new technologies
- The generation, diffusion and use of innovations
- The development of socio-technical systems
To discover more about the latest research at Alliance Manchester Business School, view the Alliance Manchester Business School Magazine.
Entry requirements
Applicants must have obtained a First or Upper Second Class Honours degree (or equivalent) and hold or expect to obtain a Masters level qualification with Distinction. English Language requirements (where required) are IELTS 7.0, TOEFL 623 (100 internet-based test), PTE 76.
Scholarships are awarded on a competitive basis to those applicants with an offer of a place on the PhD programme for September 2023 entry.
Candidates are strongly advised to submit their applications as early as possible. Candidates who do not submit the required supporting documents by specific deadlines will not be considered.
Application deadline
24 February 2023
How to apply
To be considered for one of these awards, candidates should submit a PhD application and indicate that they wish to be considered for this funding opportunity.
Enquiries
Contact the Doctoral Programmes Office: HUMS.doctoralacademy.admissions@manchester.ac.uk
China Scholarship Council - The University of Manchester Joint Scholarship Programme for PhD Study (Closed)
Closing Date: 16 January 2023.
The University of Manchester is pleased to continue a formal Agreement with the China Scholarship Council (CSC) to develop research collaborations between UK and Chinese universities/research institutions.
Benefits
- The University of Manchester will cover your full tuition fees for the period of the programme as outlined in the offer letter
- The CSC provides living allowances as prescribed from time to time by the Chinese Government, and covers the round-trip airfare for you from China to the United Kingdom, visa and passport application fees.
If your application is successful, you will be responsible for arranging your visa into the country, and The University of Manchester will not be responsible or liable in any way for a failure to obtain a visa or other requisite paperwork for entry and study in Manchester.
Criteria
- You must be a citizen and permanent resident of the People’s Republic of China at the time of application. If you are an overseas-based Chinese student, you may be eligible subject to CSC policy at the time (CSC publicises the policy in October or November every year)
- If your application is successful you must return to China upon completion of your studies and/or research
- You must hold an unconditional offer letter from The University of Manchester. They must therefore fulfil the relevant academic entry requirements set by Alliance Manchester Business School at The University of Manchester, including a high level of English language proficiency
- Candidates should satisfy the selection criteria set out by CSC on their website.
Application and selection process
- You need to submit a PhD application to The University of Manchester. You need to specify in your application that you wish to apply for The University of Manchester/CSC joint scholarship scheme.
- The University of Manchester will evaluate all applications and rank them in priority order.
- After receiving the offer letter from The University of Manchester, candidates must also apply to CSC for funding by completing an application for funding and employer reference (Application form available online at: https://www.csc.edu.cn/) by the set deadline confirmed by CSC. Please see the above website for the dates of when the CSC application portal will open and close.
- CSC will evaluate all of the applications according to their requirements and priorities, and provide The University of Manchester with a final list of scholarship recipients and inform the successful candidates.
For CSC-related queries, contact: Shemsah Farooq, International Officer, International Development, The University of Manchester (shemsah.farooq@manchester.ac.uk; +44 (0)161 306 3755)
EPSRC/BAE Systems INDUSTRIAL CASE PhD Studentship: Mitigation of Reinforcement Learning Algorithms in Changing Environments
A full-time PhD research studentship, including full stipend and tuition fees, is available for 4 years starting September 2023. The PhD student will conduct research as part of the EPSRC Industrial CASE Award-funded project “Mitigation of Reinforcement Learning Algorithms in Changing Environments”. EPSRC Industrial CASE Awards are flagship collaboration projects between industry and academia, aiming to create the research scientists of tomorrow and deliver real value to all stakeholders.
The theme of the PhD project
The development of (deep) Reinforcement Learning (RL) algorithms to train agents within game environments is well known. Agent training is typically conducted against a known, simplified, or constrained environment. However, the deployed environment is typically more complex and subject to some change and uncertainly not represented in the training environment.
RL algorithms typically characterise performance against probabilistic arenas, rather than being able to cope with an environment subject to change over time. The performance of the resulting RL agent can then be expected to become compromised over time, but not necessarily be catastrophic.
In this PhD project, we are concerned with (i) understanding this performance degradation and (ii) the development of mitigating strategies. More specifically, the project will focus on creating a train-and-test framework comprising a simulation engine for a dynamic environment and a configurable RL approach. In addition to considering changes in the environment, the simulator and RL agent will need to account for real-world challenges, such as multiple conflicting objectives, robustness, and safety issues.
The team at BAE Systems is focused on cutting-edge research in advanced simulation, optimization, and machine learning, and is thus invested in how RL can be extended to support decision-making in dynamic environments. The project will therefore contribute directly to BAE Systems’ ongoing research. From a scientific perspective, this project will lead to cross-disciplinary research and output that is of high quality and significance.
Due to the nature of this topic, candidates may be subject to a security check.
Supervision
The successful candidate will be supervised by Professor Richard Allmendinger (Alliance MBS), Dr Theodore Papamarkou (Mathematics) and Dr Wei Pan (Computer Science), The University of Manchester. Simon Mettrick and Markus Deittert from BAE Systems will act as external supervisors and lead the industrial input into this research.
The University of Manchester (UoM) has a strong academic track record in AI and Optimization with staff publishing in leading international academic journals and conferences. UoM is also a University Partner of The Alan Turing Institute, the UK's national institute for Data Science and Artificial Intelligence.
Nature of the studentship
The studentship will commence in September 2023 and will be available for four years, with a stipend equivalent to UKRI rates (the rate was £16,062 tax-free for 2022/23; this is subject to change for future years), plus an industrial top-up stipend from BAE Systems, subject to contract. This also covers full university tuition fees, and travel support for fieldwork, conferences and annual visits to BAE Systems. This project is available for UK students but we are able to offer a limited number of scholarships that will enable full studentships to be awarded to European applicants.
Entry requirements
Applications are sought from talented and motivated Home and European candidates with an academic background in at least one of these fields: (Deep/multi-agent) reinforcement learning, deep learning, Gaussian processes, Bayesian optimization, transfer/online/meta-learning/safe/multitask learning, dynamic control.
Applicants must have a First or Upper Second Class Honours degree (or equivalent) and hold or expect to obtain a Master's level qualification with Distinction. English Language requirements (where required) are IELTS 7.0, TOEFL 623 (100 ibt), PTE 76.
Application
Candidates should submit a PhD application for the PhD Business & Management, and indicate that they wish to be considered for the EPSRC/BAE Systems INDUSTRIAL CASE PhD Studentship for “Mitigation of Reinforcement Learning Algorithms in Changing Environments”.
The application must contain the following:
- A research proposal (500-1000 words) related to the topic, and
- A written statement clearly indicating how your research competencies and interests to date are aligned with the specific nature of the PhD projects.
You are strongly advised to submit your application as early as possible. If you do not submit the required supporting documents outlined above by the deadline, your application will not be considered.
Application deadline
28 February 2023
Enquiries
If you are interested in this project, please contact Professor Richard Allmendinger at richard.allmendinger@manchester.ac.uk with an up-to-date CV including any publication profile.
For questions related to your application, contact Lynne Barlow-Cheetham at HUMS.doctoralacademy.admissions@manchester.ac.uk
PhD Scholarship for Research into Productivity (Open)
Alliance Manchester Business School, in conjunction with The Productivity Institute, is announcing a new scholarship to support PhD students whose work is in the area of productivity.
Alliance Manchester Business School is committed to recruiting the highest calibre PhD students from across the globe. With an excellent international reputation, we strive to produce graduates and researchers of distinction who attain the highest standards of academic excellence, contribute to their disciplines and typify Original Thinking Applied.
The scholarship is to support PhD research into all aspects of the productivity performance of firms, sectors, regions, and countries. The research is in collaboration with The Productivity Institute, a major research initiative financed by the UK Economic and Social Research Council.
The Scholarship
This PhD scholarship offers 4 years’ funding, including doctoral programme tuition fees and a stipend of approximately £17,668 per year for candidates wishing to commence their studies in September 2022. The successful candidate will also receive a generous research support and conference allowance. You will also have access to a robust doctoral research training programme, dedicated research resources, training in transferable skills, visiting speaker seminar programme, and associate with existing research centres and groups. In addition, all students are encouraged to undertake training and development in teaching and deliver teaching and/or research assistantship duties on a paid basis to further enhance their experience in preparation for their future careers.
Research Area
Planned research should relate to the productivity performance of developed economies and to the research areas of The Productivity Institute. This covers firm performance, skills and human capital, finance and investment, macroeconomics, regional and international comparisons, public policy, and the productivity challenges created by the new technologies and the transition to net-zero. The Productivity Institute is multi-disciplinary and welcomes applications from business studies, economics, and related social sciences.
Supervision
Successful candidates will be supervised by an appropriate team drawn from the membership of the Productivity Institute and its partner institutions including The University of Manchester (the degree-awarding institution).
Entry Requirements
Applications for this project are sought from exceptional UK, EU and international students with an outstanding academic background.
Applicants must have a First or Upper Second Class Honours degree (or equivalent) and hold or expect to obtain a Master's level qualification with Distinction. English Language requirements (where required) are IELTS 7.0, TOEFL 623 (100 ibt), or PTE 76.
How to apply
Candidates should submit a PhD application for the full-time PhD Business & Management and indicate that they wish to be considered for this particular funding opportunity. Your PhD topic will be as outlined in your research proposal.
Candidates who have already applied for admission to this PhD programme may, if their research meets the criteria above, signal that they wish to be considered for this scholarship by contacting Lynne Barlow-Cheetham at HUMS.doctoralacademy.admissions@manchester.ac.uk, quoting their current University of Manchester ID and Application number.
Your application must contain a 3000-word research proposal related to the topic.
Candidates are strongly advised to submit their application as early as possible. Candidates who do not submit the required supporting documents by the specified deadline will not be considered.
Application deadline
28 February 2023
Enquiries
For questions related to this opportunity or making your application, please contact Lynne Barlow-Cheetham at HUMS.doctoralacademy.admissions@manchester.ac.uk