APPLY NOW! Student-led studentship competition 2025
SENSS will offer these studentships each academic year, over our 6 interdisciplinary themes across 8 universities.
What is a SENSS student-led studentship?
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Students work on a research project they have come up with themselves.
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They will be guided in this work by an expert academic supervisory team.
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The project may involve working with a collaborative partner (for example, a business, charity or think tank) who provides researchers with access to data, equipment or participants for a study, additional funding for their studentship, an additional supervisor, and/or a placement.
What are we looking for?
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Interesting research ideas that will provide new knowledge in their academic field and may also help to address the major challenges facing Britain and the world.
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A good match between applicant researchers and their proposed university and supervisors.
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We are especially keen to receive applications from those who meet certain criteria that form part of SENSS’s equality and diversity policy, such as being from a particular ethnic background, having grown up in a less affluent area, having a disability, being a carer, and/or having been in care as a child. If you qualify as a “Home” student and come from one of these backgrounds, you will have the option of indicating this in the equal opportunities form that is part of our online application process. We aim to award a number of studentships to applicants coming from these backgrounds.
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SENSS positively encourages applications from talented students holding undergraduate degrees only. If you are successful, you will receive financial support to do a Masters as well as your PhD.
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We are also keen to receive applications which fall under the headings of Data Skills or Advanced Quantative Methods (AQM). SENSS ring-fences six studentships across these two areas each year and so, if your project is Data Skills or AQM-based, please highlight this in your application.
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Data Skills studentships refer to the use of large datasets, linked administrative datasets (ADR UK – Administrative Data Research UK, which is part of the ESRC) and/or big data methods and associated innovative analytical methods.
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AQM-steered studentships would feature one or more of the following: the development and use of advanced statistical methods; the use of large-scale datasets; the use and analysis of ‘big data’.
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For further information on what constitutes a Data Skills or AQM-based application, please click here.
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How do I get started?
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If you have a research topic you want to work on, first identify the academic at the SENSS university with whom you wish to work, making sure that your research topic comes within one of the 6 SENSS Themes. If it does, contact that academic – your proposed supervisor – directly to discuss working with them. Alternatively, if you are unsure about who to approach, get in touch with the SENSS Operational Lead at that university, as they may be able to support you in finding a supervisor.
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If, after talking to your proposed supervisor, they are supportive of working with you, submit your application for a place to study at your chosen SENSS university. The deadline for your application is set by your chosen university. Please check with them to find out what the deadline is.
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Once you have applied for a place to study at your home university, you will also need to apply for SENSS funding for your studies. To do this, click on the “Apply” button which will appear later in September on this page.
Are there guidance notes to help me complete my application?
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Yes, a detailed guide is available here. You MUST read these notes when you draft your application as they contain important information to guide you, including the criteria against which your application will be judged. Advice on how to start thinking about the placement you will need to undertake during your studies is also included in these notes. Reminder: you do not need to have identified where you will do your placement at the point of applying for a SENSS studentship, and your application will not be marked down if you do not have a placement yet.
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Some guidance on how to identify and approach your proposed PhD supervisor is available here.
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The student-led competition policy is available here. It sets out how the competition will be run, and how applications will be reviewed and awards made.
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The supervisor’s guidance notes are available here.
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Detailed advice regarding identifying the best structure (length) of award for a particular applicant is available here.
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A template letter of support for applicants to use for the student-led competition with a collaborative element is available here.
Application Deadline: 22 January 2025.
