British Election Study 2027 to 2032 in Swindon

British Election Study 2027 to 2032 in Swindon

Swindon Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the British Election Study, collecting and analysing data on UK elections.
  • Company: Join a prestigious research initiative funded by ESRC.
  • Benefits: Access to £4.9 million funding, flexible working, and collaboration opportunities.
  • Why this job: Make a significant impact on understanding UK politics and elections.
  • Qualifications: Experience in research, data collection, and stakeholder engagement required.
  • Other info: Opportunity for international collaboration and innovative use of AI.

The predicted salary is between 36000 - 60000 £ per year.

Opportunity status:
Upcoming
Funders:
Funding type:
Grant
Total fund:
£4,900,000
Maximum award:
£4,900,000
Publication date:
11 December 2025
Opening date:

3 March 2026 9:00am UK time
Closing date:

14 May 2026 4:00pm UK time

Apply for funding to run the British Election Study (BES) between 2027 and 2037, and the funding for the 2029 UK general election in Great Britain and surveys aligned to local elections. You must be based at a UK research organisation eligible for Economic and Social Research (ESRC) funding.

The full economic cost (FEC) of your project can be up to £4,900,000. ESRC will fund 80% of the FEC (exceptions including subcontracted social surveys are funded at 100% FEC).

Funding is available for a maximum of 60 months, from October 2026.

This opportunity is open to organisations with standard eligibility, and organisations who are based overseas. .

International researchers

As ESRC is a lead funder for this opportunity, international researchers can apply as \’project co-lead (international) (PcL (I))\’. You should include all other international collaborators (or UK partners not based at approved organisations) as project partners.

Equality, diversity and inclusion

for all funding applicants. We encourage applications from a diverse range of researchers.

We support people to work in a way that suits their personal circumstances. This includes:

  • career breaks
  • support for people with caring responsibilities
  • flexible working
  • alternative working patterns

for UKRI applicants and grant holders during the application and assessment process.

Aim

The aims of this opportunity will be:

  • to identify a team and host institution to lead the BES between 2027 and 2037.
  • to deliver data collection on the anticipated 2029 UK General Election in Great Britain, and surveys aligned to local elections.

Our objectives for the successful applicant will be to:

  • produce high-quality data that meets the needs of the research, policy and practice communities, building on the existing politically independent time series data, and ensure those communities have timely access to the data
  • promote the use of the data by the research and wider stakeholder communities, including to maximise the public benefit of the data through informing policy, practice and the public
  • collaborate with the other UK election studies to facilitate meaningful comparison of elections in the UK and the views and behaviour of UK electorates

By delivering the objectives, BES will support the delivery of . In particular building and sustaining a foundation, impact and public benefit and leadership and connectedness.

Applications should clearly outline how their project objectives and work packages contribute to the above ESRC funding objectives for BES. Applications will be assessed and prioritised based on how well they deliver the funding objectives and the funding opportunity specification.

We are keen to capitalise on recent major developments in the capability of artificial intelligence (AI) in relation to social science data infrastructure. You should consider how you might utilise AI to more effectively deliver the study objectives and how you can enable users to use AI techniques when working with BES data.

We strongly encourage collaboration to address this, with work to incorporate AI proportionate to the investment.

Scope

BES will collect high-quality, politically independent data at scale to inform research into British politics, elections and voting behaviour. It will contribute to the understanding of political attitudes and behaviour in Great Britain and the wider UK as they are today, and how they change over time. It will facilitate comparative research within the UK and internationally.

The data will support academics and other key stakeholders in the UK democratic system. Key stakeholder groups include:

  • academics (domestic)
  • academics (international)
  • polling industry
  • the media
  • political parties
  • policymakers
  • lobby groups and charities
  • educators

The successful applicant(s) and host institution will lead BES between 2027 and 2037 (subject to likely future election dates). You should provide your strategic vision for the study up to 2036.

Initial funding is available from October 2026 up to 2032, up to 60 months. We will invite the successful applicant(s) and host institution to apply for funding to cover the anticipated elections for the remainder of the 2027 to 2037 period, subject to performance, funding availability and sufficient consistency in the delivery team and host institution.

This initial application should describe your approach for delivery up to 2032.

This funding will support:

  • consultation with stakeholders to inform study design
  • data collection, processing and publication
  • promoting the use and impact of the data
  • preparatory activities for the remaining period up to 2037 where relevant

As an investment from the ESRC infrastructure team, academic research using the data is not within scope of this funding opportunity, for further details on this please see the \’What we will fund\’ and \’What we will not fund\’ section.

Activities funded from our contribution must be used for the delivery or improvement of the study as a data infrastructure for use by the wider research community. However, applicants are welcome to conduct aligned activities using different funding sources, these can be discussed in the application where they provide additional value to BES.

The team must have the ability to successfully engage with stakeholders in the relevant political systems and act as a trusted source of impartial political data in the UK political system. This includes having a strong understanding of the political context of the data collection activity.

It is important to recognise that BES does not collect data in Northern Ireland and that we are currently running a commissioning exercise for a Northern Ireland Election Study (NIES). Both BES and NIES (alongside the other UK election studies) all contribute to our understanding of UK elections and the electorate. However, both NIES and BES have a primary data collection on the UK general election.

We encourage activity across the UK, but applicants should consider the sensitivities of the work they do on the UK and how this relates to Northern Ireland and NIES.

You should outline why your decided approach is the best way of delivering the study.

Consultation requirements

Effective consultation should take place with key stakeholder groups ensuring that the study considers and addresses user needs from academic and non-academic communities, while ensuring the studies make a distinct contribution to polling in the setting.

Non-academic user communities include the media, policymakers, political parties, the polling industry, lobby groups and charities, and educators. Stakeholders should also be considered at the different levels of the UK such as sub-national and local levels as well as internationally (where appropriate).

Consultations should meaningfully inform the design of the study and its wider activities, described under \’Scope\’.

Data collection, processing and publication requirements

To maintain a degree of consistency in the long-term data series it is expected that the data collected will include:

  • post-election survey of a probability-based sample for the UK general election. This survey is the primary data collection activity and should take place as close to the election as practicable
  • inter-election surveys, including pre- and post-general election survey(s) for the UK general election and surveys aligned with local elections in England, Scotland and Wales

In addition, we allow data collection at other points of the election cycle where you can evidence strong scientific need or potential impact and appropriately balance this with the core data collection within the available budget.

Previous inter-election data collection was conducted during the campaign period of the general election, local elections, and post-general election.

You should review the previous questionnaires and related documentation, which are available from the UK Data Service.

For the data collection, applicants must ensure that:

  • samples are nationally representative of both voters and as far as possible non-voters
  • the data collected effectively enables research across Britain and meets the needs of the community
  • methods produce high quality data efficiently and effectively, including minimising non-response bias
  • the approaches carefully balance maintaining the integrity of the time series with the need for gradual evolution. This includes both content, through balancing previous questions with important topical or future themes, and methods, through balancing the benefits of innovating with maintaining comparability with previous data

Though we welcome innovative approaches to the design of the study, building on and extending the previous BES, you should carefully consider the degree to which any changes will maintain consistency with prior data collection.

Where changes are proposed, these should be clearly described, and you must explain the potential benefits, trade-offs and risks, alongside how continuity will be ensured. For example, continuity can be balanced with the inclusion of questions on themes and issues of topical concern and importance.

We recognise that following the COVID-19 pandemic there has been a substantial shift in fieldwork methodologies, for example a growing number of studies are utilising mixed mode approaches. We are open to methodological changes, however if changes are proposed, appropriate assessment and care must be undertaken to ensure methodological comparability.

You are asked to consider whether to collect data on social media consumption and exposure, and its impact on political behaviour.

As a data infrastructure, BES must ensure stakeholders can easily access and use the data. You should also consider how they can enable user-led AI application on BES data.

For the data processing and publication, applicants must ensure that:

  • a schedule for data release is published within one month of the start of data collection
  • final data is safely openly available for use as close to the relevant election as possible, strictly no later than one year after the election and preferably within nine months
  • data is deposited with the UK Data Service as per the ESRC Data Policy
  • additional routes to safely publishing the data are considered where this may promote the use of the data amongst broader stakeholder groups
  • user-friendly data formats are considered
  • users can easily access data documentation to support use of the data. This should include a statement on the coverage of data collection, specifying clearly the population that the study is intended to represent and any known deficiencies in the resulting data

In line with the , all subcontracted social surveys must be subject to normal competitive purchasing principles. ESRC requires that surveys over £10,000 (£8,333 exclusive of VAT) are subject to external competition to ensure best value for money through competitive purchasing processes. Where surveys are expected to exceed £25,000 (£20,830 exclusive of VAT) the research organisation\’s full tendering procedures must be followed.

You must ensure sufficient time is built into the project timeline to enable a competitive tender process. You should seek out quotations for a minimum of three potential fieldwork providers and provide these estimates in the \’Resources and cost justification\’. Otherwise, you must explain and evidence why this is not possible and demonstrate that you have considered alternative approaches to procuring some or all aspects of the fieldwork.

ESRC reserves the right to reject applications whose subcontracted social surveys are not subject to external competition or do not provide the necessary evidence prior to expert review.

Promoting use and impact

As a community resource, the BES must actively demonstrate and promote the value and potential of its data to a wide range of users. The election studies have a unique user base that extends beyond academia and policy, as described in the consultation section.

You are asked to propose a framework to both support non-academic stakeholders and promote the data for academic use. Ongoing engagement with stakeholders to refine the framework is encouraged.

Applicants must ensure that their proposed activities:

  • allow for some rapid dissemination of initial data or findings, and facilitate and accelerate impact, following an election
  • facilitate initial learning from the data to meaningfully inform stakeholders, particularly those outside academia
  • include structured and proactive engagement with stakeholders at UK and, where appropriate, more local contexts to inform politics and policy development
  • highlight the schedule for data releases to facilitate the planning of potential users
  • clearly highlight and signpost the data to the key stakeholder groups, particularly in advance of and at the time of data releases

An effective approach is to publish initial findings that highlight the data\’s utility to a broad and diverse audience. These findings should be developed promptly to accompany the data release and must not delay it. They should be specifically designed to showcase the data\’s potential.

Accessibility must be prioritised over research quality or value.

The objective of initial findings for non-academic audiences is to accelerate impact, including in the period shortly following elections. The analysis and its presentation must be sufficiently simple for users to quickly and easily understand how they can use the information, and only as complex as required to ensure stakeholders can be confident to use it.

Accessibility and utility to the stakeholders is the focus.

Initial findings should be presented such that they do not compromise the actual and perceived rigour of the final data.

Applicants are encouraged to explore additional innovative approaches to showcase the value of the data to a wide range of users.

Collaboration

Collaboration within the ESRC election studies portfolio is essential to facilitate meaningful comparison of UK elections and the views and behaviour of UK electorates. For example, collaboration on questionnaire design is strongly encouraged, whether via common themes, questions or standards.

Coordination should be targeted at areas where comparative research would be of particularly high value, whilst retaining sufficient flexibility to tailor the study to its electoral context.

Collaboration to tackle shared challenges or opportunities is also encouraged. The successful applicant will be required to collaborate with the other ESRC election studies portfolio to increase the value of elections data for the community and meet the needs of the community.

You should outline your approach to collaborating with the other ESRC election studies and their anticipated benefits. Please see the \’supporting documents\’ in the \’Additional information\’ section for potential areas of collaboration.

Applicants should also consider engagement and collaboration opportunities with other ESRC investments and the wider social science community, where activities and learning may overlap (such as other data collection projects and on challenges and opportunities such as the use of AI in social science data infrastructures).

You should outline any other planned collaborations and their related benefits.

We encourage relevant collaboration with other international election surveys to enable comparison of British data in the international context. BES has taken part in the Comparative Study of Electoral Systems in five out of six modules from 1997. This value of this comparative analysis should be considered by you when designing the delivery of the next BES.

If you believe resources are more effectively used elsewhere, this should be outlined in the application.

Capacity building

We encourage you to consider capacity building in your approach and application. You can highlight any plans to support capacity building. Approaches could include utilising opportunities to diversify the BES team and offering opportunities for training and networking.

Governance

The successful applicant will be required to appoint their own independent advisory board which will advise on the activities of the award and the development of the award\’s strategy and programme of work. The award will provide the administrative support for the advisory board meetings.

The Chair will be appointed in consultation with ESRC and its membership is discussed at an early stage with the ESRC investment manager. Membership of the advisory board should be in accordance with the terms specified in the ESRC Research Funding Guide.

Award holders should publish details of their advisory board on their websites. Information must include membership details, terms of reference and frequency of meetings.

ESRC investment managers should not be members of the advisory board but should be invited to attend meetings as observers. ESRC investment managers should receive copies of meeting agendas, papers and minutes/notes when requested.

Applicants should outline their plans for an advisory board and any other governance arrangements. How these arrangements will support their work and integrate communities\’ views should be outlined.

Investment monitoring

We will set out monitoring and reporting requirements in the terms and conditions of the award. Award holders will be required to produce an updated timeline, deliverables list and risk register at the start of the grant, for regular discussion with us.

The award holders will be expected to provide ESRC with a short, written, six-monthly update on activities, including risk, finance, progress, and where applicable impact including data usage statistics. More frequent updates will be expected on important activities, risks and major project changes if they present a risk to meeting its objectives. Researchfish reporting is also required.

We will assign an investment manager as a lead contact for each funded investment. Contact will include a twice-yearly meeting between ESRC and the project lead, as well as other members of the team where appropriate.

Applications should include sufficient time for project leads and (where relevant) co-leads to meet these monitoring requirements as well as any governance arrangements.

Applications must comply with the .

Duration

The duration of this award is a maximum of 60 months.

Funding available

The FEC of your project can be up to £4,900,000.

ESRC will fund 80% of the FEC (exceptions including subcontracted social surveys are funded at 100% FEC).

What we will fund

This funding can be used for:

  • staff costs
  • data collection, distribution and promotion
  • engagement and collaboration activity
  • travel and subsistence

What we will not fund

This funding cannot be used for:

  • standard research projects (even if they are utilising the data)
  • writing up previous research
  • preparation of books and publications
  • literature surveys
  • general conference attendance that is not related to conducting the proposed work
  • studentships

Contributions of the host research organisation

We will be looking for a strong statement of support from your research organisation to contribute to a successful delivery of the BES.

We expect applications to include details of support including why this organisation is well-placed to host the BES. The statement should demonstrate its commitment to hosting and running this strategic investment and detail any aligned funding that will be provided to support the activity and additional support that might add value to the work.

Supporting skills and talent

We encourage you to follow the principles of the and the .

Trusted Research and Innovation (TR&I)

UKRI is committed in ensuring that effective international collaboration in research and innovation takes place with integrity and within strong ethical frameworks. Trusted Research and Innovation (TR&I) is a UKRI work programme designed to help protect all those working in our thriving and collaborative international sector by enabling partnerships to be as open as possible, and as secure as necessary. Our set out UKRI\’s expectations of organisations funded by UKRI in relation to due diligence for international collaboration.

As such, applicants for UKRI funding may be asked to demonstrate how their proposed projects will comply with our approach and expectation towards TR&I, identifying potential risks and the relevant controls you will put in place to help proportionately reduce these risks.

, including where applicants can find additional support.

ESRC data infrastructure

We support a range of data infrastructure. Where relevant, we encourage applicants to consider whether the use of these resources could add value to the project. See for information on finding and using ESRC datasets which are available across the UK.

Where relevant, details of datasets and infrastructure to be used in your project should be given in the Facilities section.

Data requirements

We recognise the importance of data quality and provenance. Data generated, collected or acquired by ESRC-funded research must be well-managed by the grant holder to enable their data to be exploited to the maximum potential for further research. See our for details and further information on . The requirements of the research data policy are a condition of ESRC research funding.

Where relevant, details on data management and sharing should be provided in the Data Management section. See and on the UK Data Service (UKDS) website for further guidance.

We expect applicants to provide a summary of the points provided. The UKDS will be pleased to advise applicants on the availability of data within the academic community and provide advice on data deposit requirements

Impact, innovation and interdisciplinarity

We expect you to consider the potential . Outputs, dissemination and impact are a key part of the criteria for most expert review and assessment processes. We also encourage applications that demonstrate (research combining approaches from more than one discipline).

Knowledge exchange and collaboration

We are committed to knowledge exchange and encouraging collaboration between researchers and the private, public and civil society sectors. Collaborative working benefits both the researchers and the individuals/organisations involved. Through collaboration, partners learn about each other\’s expertise, share knowledge and gain an appreciation of different professional cultures.

Collaborative activity can therefore lead to a better understanding of the ways that academic research can add value and offer insights to key issues of concern for policy and practice.

Knowledge exchange should not be treated as an \’add-on\’ at the end of a project but considered before the start and built into a project.

Research ethics

ESRC requires that the research we support is designed and conducted in such a way that it meets ethical principles and is subject to proper professional and institutional oversight in terms of research governance. We have agreed a Framework for Research Ethics that all submitted proposals must comply with. Read and guidance on compliance.

We are running this funding opportunity on the new UK Research and Innovation (UKRI) Funding Service so please ensure that your organisation is registered. You cannot apply on the Joint Electronic Submissions (Je-S) system.

The project lead is responsible for completing the application process on the Funding Service, but we expect all team members and project partners to contribute to the application.

Only the lead research organisation can submit an application to UKRI.

To apply

Select \’Start application\’ near the beginning of this Funding finder page.

  1. Confirm you are the project lead.
  2. Sign in or create a Funding Service

British Election Study 2027 to 2032 in Swindon employer: NERC - the Natural Environment Research Council

As a leading research organisation, we pride ourselves on fostering a collaborative and inclusive work environment that values diversity and supports flexible working arrangements. Our commitment to employee growth is evident through our investment in professional development opportunities, ensuring that team members can thrive while contributing to impactful research that shapes public policy and understanding of British democracy. Located in the heart of the UK, we offer a unique chance to engage with key stakeholders and make a meaningful difference in the field of social science research.
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Contact Detail:

NERC - the Natural Environment Research Council Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land British Election Study 2027 to 2032 in Swindon

✨Tip Number 1

Network like a pro! Attend events, webinars, and conferences related to your field. It's all about making connections that could lead to job opportunities. Don't be shy; introduce yourself and chat with others!

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Leverage social media, especially LinkedIn. Share your insights on relevant topics, engage with industry leaders, and connect with potential employers. A strong online presence can make you stand out!

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Apply through our website for the best chance at landing your dream job. We’re always looking for passionate individuals who want to make a difference. Don’t miss out on the opportunity to join our team!

We think you need these skills to ace British Election Study 2027 to 2032 in Swindon

Data Collection
Data Processing
Data Publication
Stakeholder Engagement
Project Management
Research Design
Statistical Analysis
Survey Methodology
Collaboration
AI Utilisation
Communication Skills
Understanding of Political Context
Capacity Building
Ethical Research Practices

Some tips for your application 🫡

Get to Know the BES: Before you start writing, take some time to really understand what the British Election Study is all about. Familiarise yourself with its aims and objectives so you can tailor your application to show how your project aligns with them.

Be Clear and Concise: When you're putting together your application, clarity is key! Make sure your ideas are presented in a straightforward manner. Avoid jargon where possible and get straight to the point to keep the reviewers engaged.

Show Your Collaboration Skills: Collaboration is a big deal for this opportunity. Highlight any partnerships or collaborative efforts you have in mind. Show us how you plan to work with other researchers and stakeholders to enhance the study's impact.

Use Our Website to Apply: Don't forget to apply through our website! It's the best way to ensure your application is submitted correctly and on time. Plus, you'll find all the resources you need to help you along the way.

How to prepare for a job interview at NERC - the Natural Environment Research Council

✨Know Your Stuff

Before the interview, dive deep into the British Election Study and its objectives. Familiarise yourself with the key stakeholders and the political context of the data collection. This will not only show your genuine interest but also help you answer questions more confidently.

✨Showcase Collaboration Skills

Since collaboration is a big part of this role, be ready to discuss your past experiences working with diverse teams. Highlight any successful projects where you engaged with stakeholders from different sectors, as this will demonstrate your ability to work effectively in a collaborative environment.

✨Think AI

Given the emphasis on utilising AI in the study, come prepared with ideas on how AI can enhance data collection and analysis. Share any relevant experiences or knowledge you have about AI applications in social science research to impress the interviewers.

✨Prepare Questions

Interviews are a two-way street! Prepare thoughtful questions about the project’s vision, the team dynamics, and how they plan to engage with stakeholders. This shows that you’re not just interested in the position, but also in contributing to the project's success.

British Election Study 2027 to 2032 in Swindon
NERC - the Natural Environment Research Council
Location: Swindon
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