189 Research Roles jobs in the United Kingdom

Senior Research Fellow (Legal Charity)

Salary : £45,665

Location: can be remote within England under flexible working policy

Civitas Charity Recruitment are working with an independent national legal charity seeking a Senior Research Fellow to join its highly respected and impactful research team. The organisation works to ensure that individuals facing disadvantage can hold power to account and access justice. Its work spans legal research, policy, litigation, and training, with a focus on improving public decision-making and achieving fairness in society.

This role offers the chance to shape and lead high-quality research that supports access to justice and influences administrative law reform. The successful candidate will work alongside experienced colleagues and contribute to a shared vision of a fairer, more inclusive society. The position requires a combination of empirical research expertise, strategic thinking, and an ability to translate findings into action

Who we are looking for

We're looking for someone who has a strong grasp of public and administrative law and understands the barriers to justice many people face. You’ll have a solid track record of designing and delivering impactful empirical research and be comfortable communicating your work to a variety of audiences. If you have experience developing research-informed policy, working with external partners, and contributing to funding bids, you’ll feel right at home. A commitment to equity, expertise, collaboration, and courage will be essential. Lived experience or previous work with marginalised communities would be an asset

This is a permanent role based in London, with flexible working options available. It can be full-time or part-time, with a minimum of 28 hours per week. The salary is £45,669 per annum and includes eligibility for a cost-of-living uplift. Benefits include a 10% employer pension contribution after one year, 25 days annual leave (plus bank holidays), and flexible working arrangements from day one.

How to Apply

If this opportunity sounds like a good fit, please complete the application form and send it to For any queries, feel free to call 020 7971 1072. The closing date is Sunday 24 August 2025 at 11.59pm. Interviews will be held on 8 and 9 September, with final interviews (if needed) on 18 September.

About the role

Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2 years.

What you would be doing

The Chapman Schmidt AI in Science Fellows will produce independent and original research, using AI to advance science, within the Maths Department and the I-X Centre for AI in Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here 'AI' is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; 'Science' covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts are not suitable for generic AI research with general application: candidates must be aiming to substantially advance a particular area of science. Applicants could view themselves as AI researchers tackling particular pieces of science or science researchers using AI to transform their area. Extensive AI knowledge is not required, and AI training is offered.

What we are looking for

Candidates will:

• Hold a PhD (or equivalent) in an appropriate discipline.
• Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research projects.
• Have an outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc.
• Have a proposal which is within the AI in Science research remit.
• Be expected to have several years of experience post-PhD (in research or AI-based industry) and experience supervising team members.

What we can offer you

Fellows will join the Eric and Wendy Schmidt Network of researchers and will join a unique co-located cohort of top scholars based in the I-X Centre for AI in Science with tailored training and one-on-one career development. The fellowships are flexible and independent, allowing recipients to freely explore while drawing on expert faculty mentors of their choice.

We have a programme of additional support for women in AI in Science including additional funds for their career development and a community of I-X AI in Science women. The I-X Women in Artificial Intelligence (IXWAI ) founded by two of our fellows aims to enhance representation of women in AI and foster an environment where they are valued, supported and inspired to achieve their full potential.

This is a full time, fixed term position for 2 years. You will be based at White City Campus and will have a primary mentor in the Maths Department .

If you have any queries about this opportunity, please contact Eileen Boyce at

Further information about the I-X Centre for AI in Science can be found at which includes an introductory video.

Links to other opportunities can be found here . If candidates want to also be considered at the Research Associate level, then they need to send in an additional application for that role (the documents submitted can be repeated).

Applicants interested in 4-year roles should apply for the Imperial College Research Fellowships, supported by Schmidt Sciences - application details can be found here .

Other Schmidt Sciences Fellowship roles, at both Research Associate and Research Fellow level can be found here

Joint Fellowships

We have partnered with the Institute of Cancer Research (ICR) and the CNRS. If you are applying for one of these joint fellowships, we require that the principal mentor be in Imperial, but a secondary supervisor must be at ICR/CNRS. Please indicate if this is a joint fellowship by ticking the appropriate ICR/CNRS tick box in the online application form. Please note that these applications will require an institutional letter of support and ICR and CNRS will have their own internal process with a deadline ahead of the closing date below. The ICR deadline will be the 27^th of August . You must contact Becky Cook ( ) at ICR and Carl Iamov and/or Louis Avigdor at CNRS to confirm these internal processes and deadlines.

Further information

In addition to completing the online application, candidates should, after carefully consulting the Job Description, FAQ and related documents , upload the following documents:

• A full CV including publications.

An additional single file with:

• Publication Elaboration: a 1 page, or less, note outlining the contribution of up to three papers by the applicant suitable for a general scientific reader.
• Research Proposal Summary: a 1 page or less, summary of the proposed research suitable for a general scientific audience. Particular attention will be paid to this summary. It should answer the question of why/how this application of AI will be transformative for the target area of science. The proposal should start by confirming the primary mentor who supports the application - the primary mentor MUST be within the Maths Department , but others could be outside. Mentors must be contacted in advance of the application. It is not essential that the mentor be a very close fit to the proposed research, entirely independent research efforts are welcomed, but a collaborative mentorship is likely to make the science more credible.
• Research Proposal: a 3 pages or less proposal that explains why and how the proposed research could be transformative for a particular area of science. It can be structured around background, a small number of hypotheses/aims, and work packages. It can be assumed that the reader will first read the Summary and so content need not be repeated.
• Training Plan: a ½ page or less plan, identifying any particular skills that need to be acquired for the proposed research to succeed. Training is a key part of the proposed fellowship, whether helping an AI expert master a scientific topic or a scientific topic expert advance their AI skills. Deep expertise in AI (or the particular Science area) is not a pre-requisite: the minimum level of AI/Science experience is that needed to credibly articulate a plan for how AI will advance Science.
• Fit to AI in Science Remit: a ¼ page or less outline of how your proposal fits within the AI in Science remit - please check your proposal's fit here .
• Kindness Statement: a ¼ page or less outline of your view on the need for kindness among scientists. The fellows will join a cohort of fellows in AI for Science with opportunities for outreach and LMIC engagement.
• Mobility Statement (for applicants currently at Imperial only): Schmidt Sciences seeks to enable national and international mobility: candidates from outside Imperial are particularly encouraged to apply. Candidates that are already in Imperial are asked to supply several sentences in their mobility statement outlining, in a distinctive and compelling manner, how remaining in Imperial is the best route for their personal growth. Applicants from Imperial are required to move from their existing supervisor to entirely new mentors for their Chapman Schmidt Fellowship, to increase both their independence and their breadth of experience (existing mentors cannot become secondary mentors).

About the role

Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a duration of 2 years.

What you would be doing

The Eric and Wendy Schmidt Ai in Science Fellows will produce independent and original research, using AI to advance science within their host department and the I-X Centre for AI in Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here 'AI' is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; 'Science' covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts are not suitable for generic AI research with general application: candidates must be aiming to substantially advance a particular area of science. Applicants could view themselves as AI researchers tackling particular pieces of science or science researchers using AI to transform their area. Extensive AI knowledge is not required, and AI training is offered.

What we are looking for

Candidates will:

• Hold a PhD (or equivalent) in an appropriate discipline.
• Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research projects.
• Have an outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc.
• Have a proposal which is within the AI in Science research remit and skills which fit the cohort of AI in Science fellows.
• Be expected to have several years of experience post-PhD (in research or AI-based industry) and experience supervising team members.

What we can offer you

Fellows will join the Eric and Wendy Schmidt Network of researchers and will join a unique co-located cohort of top scholars based in the I-X Centre for AI in Science with tailored training and one-on-one career development. The fellowships are flexible and independent, allowing recipients to freely explore while drawing on expert faculty mentors of their choice.

We have a programme of additional support for women in AI in Science including additional funds for their career development and a community of I-X AI in Science women. The I-X Women in Artificial Intelligence (IXWAI ) founded by two of our current Fellows aims to enhance representation of women in AI and foster an environment where they are valued, supported and inspired to achieve their full potential. We expect to appoint at least one candidate through this route.

This is a full time, fixed term position for 2 years. You will be based at White City Campus.

If you have any queries about this opportunity, please contact Eileen Boyce at

Further information about the I-X Centre for AI in Science can be found at which includes an introductory video.

Links to other opportunities can be found here . If candidates want to also be considered at the Research Associate level, then they need to send in an additional application for that role (the documents submitted can be repeated).

Applicants interested in 4-year roles should apply for the Imperial College Research Fellowships, supported by Schmidt Sciences - application details can be found here .

Other Schmidt Sciences Fellowship roles, at both Research Associate and Research Fellow level can be found here

Joint Fellowships

We have partnered with the Institute of Cancer Research (ICR) and the CNRS. If you are applying for one of these joint fellowships, we require that the principal mentor be in Imperial, but a secondary supervisor must be at ICR/CNRS. Please indicate if this is a joint fellowship by ticking the appropriate ICR/CNRS tick box in the online application form. Please note that these applications will require an institutional letter of support and ICR and CNRS will have their own internal process with a deadline ahead of the closing date below. The ICR deadline will be the 27^th of August . You must contact Becky Cook ( ) at ICR and Carl Iamov and/or Louis Avigdor at CNRS to confirm these internal processes and deadlines.

Further information

In addition to completing the online application, candidates should, after carefully consulting the Job Description, FAQ and related documents , upload the following documents:

• A full CV including publications.

An additional single file with:

• Publication Elaboration: a 1 page, or less, note outlining the contribution of up to three papers by the applicant suitable for a general scientific reader.
• Research Proposal Summary: a 1 page or less, summary of the proposed research suitable for a general scientific audience. Particular attention will be paid to this summary. It should answer the question of why/how this application of AI will be transformative for the target area of science. The proposal should start by mentioning, the applicant's proposed department and at least one mentor who has agreed to support the application - one mentor should be within the fellow's proposed department, but others could be outside. Mentors must be contacted in advance of the application. It is not essential that the mentor be a very close fit to the proposed research, entirely independent research efforts are welcomed, but a collaborative mentorship is likely to make the science more credible.
• Research Proposal: a 3 pages or less proposal that explains why and how the proposed research could be transformative for a particular area of science. It can be structured around background, a small number of hypotheses/aims, and work packages. It can be assumed that the reader will first read the Summary and so content need not be repeated.
• Training Plan: a ½ page or less plan, identifying any particular skills that need to be acquired for the proposed research to succeed. Training is a key part of the proposed fellowship, whether helping an AI expert master a scientific topic or a scientific topic expert advance their AI skills. Deep expertise in AI (or the particular Science area) is not a pre-requisite: the minimum level of AI/Science experience is that needed to credibly articulate a plan for how AI will advance Science.
• Fit to AI in Science Remit: a ¼ page or less outline of how your proposal fits within the AI in Science remit - please check your proposal's fit here .
• Kindness Statement: a ¼ page or less outline of your view on the need for kindness among scientists. The fellows will join a cohort of fellows in AI for Science with opportunities for outreach and LMIC engagement.
• Mobility Statement (for applicants currently at Imperial only): Schmidt Sciences seeks to enable national and international mobility: candidates from outside Imperial are particularly encouraged to apply. Candidates that are already in Imperial are asked to supply several sentences in their mobility statement outlining, in a distinctive and compelling manner, how remaining in Imperial is the best route for their personal growth. Applicants from Imperial are required to move from their existing supervisor to entirely new mentors for their Schmidt Fellowship, to increase both their independence and their breadth of experience (existing mentors cannot become secondary mentors).

New Resource Recruitment are delighted to be recruiting a Research Assistant on behalf of our client based in Bath, one of the UK’s most respected organisations in their sector, renowned for their outstanding customer service, environmental leadership, and commitment to innovation.

Operating across the South West of England, they serve millions of customers while championing sustainability and investing in their people.

Their conveyancing division, a key part of their Retail & Commercial operations, provides high-quality Drainage and Water Searches as well as a wide range of additional conveyancing products directly to legal professionals and the public.

This role is based at their modern, eco-conscious headquarters in Bath. Their award-winning offices offer a dynamic, collaborative environment with access to on-site amenities, green spaces, and excellent transport links.

If you’re detail-oriented, process-driven, and passionate about delivering outstanding service, this is a fantastic opportunity to join a trusted organisation with a strong social and environmental purpose.

Job Purpose

To accurately produce and process Drainage and Water Searches, and other conveyancing search reports, for legal professionals and members of the public. The role is critical in supporting property transactions across residential and commercial sectors, ensuring the delivery of high-quality, legally compliant information backed by indemnity.

Operating Environment

The conveyancing division operates within a highly regulated legal and property market, delivering essential information products that support the conveyancing process. Attention to detail and accuracy are paramount due to the legal implications and insurance backing of up to £10 million.

Key Responsibilities

• p>Process Drainage & Water search reports using internal and external systems.

• Ensure accurate data entry, checking, and validation against legal and technical requirements.

• Liaise with other internal departments (e.g. Mapping, Legal, GIS, IT, Finance) to gather and verify information.

• Communicate effectively with external organisations such as Landmark, Dye & Durham, The Coal Authority, and water companies.

• Resolve customer queries promptly, professionally, and in line with service standards.

• Support the team in achieving turnaround times and quality standards.

• Participate in weekly team huddles, monthly one-to-ones, and quality coaching sessions.

Required Knowledge, Skills & Experience

• You will be responsible for processing Drainage and Water Searches across the Wessex Water, Bristol Water, and Bournemouth Water regions.

• This involves checking every detail in a search report, comparing system-generated answers with information available from internal platforms such as Microsoft Dynamics COM and Viewpoint/FM Explorer, and making necessary corrections to ensure accuracy.

• As the data is used in property transactions, it must be accurate, clear, and legally reliable.

Essential Skills

• Excellent attention to detail and a critical eye for errors.

• Ability to manage repetitive tasks at a high volume without compromising on accuracy.

• Comfortable working in a fast-paced environment and meeting tight deadlines.

• Quick learner who can retain key information and apply it consistently.

• Strong initiative and problem-solving mindset.

• Good written communication skills, including the ability to draft professional emails to customers and internal teams.

• Competent with IT systems and multitasking between multiple platforms.

Desirable (but not essential)

• Experience using Microsoft Dynamics 365 (Finance and Operations) or similar ERP/CRM platforms.

• Understanding of conveyancing, drainage, or property search processes.

Personal Attributes

• Educated to GCSE level (or equivalent).

• Strong team player who thrives in a collaborative environment.

• Customer-focused with a positive and professional attitude.

This vacancy is being advertised by New Resource Group. The services of New Resource Group are that of an Employment Agency.

1.0    JOB SUMMARY

A motivated and pro-active in vivo pharmacology individual with expertise in in vivo studies, specifically rodent studies.

This lab-based role supports in vivo models for preclinical research studies for o ur client biotech or pharma companies.

2.0    DUTIES AND RESPONSIBILITIES

2.1   Key Activities

Planning and hands-on execution of in vivo preclinical studies

Generating high-quality protocols/study plans and carrying out client study requests within agreed timelines.

Generating and maintaining clear experimental records 

Good data entry skills and interpretation of the results, ability to communicate results via informal discussions 

Has a good understanding of the science of the relevant disease models

Be an effective, collaborative hands-on member of the in vivo team, contributing to the overall work of the team as required

Ensuring appropriate use of animals in compliance with all regulatory requirements and internal standards

Ensuring all Standard Operating Procedures, Health and Safety and regulatory requirements are adhered to

Using best judgment to carry out work to the highest standard

2.2   INTERACTION

Excellent organisational, problem-solving and communication skills

Ability to work well within a team, as well as independently and proactively

Ability to work on multiple studies in multiple areas in a fast-paced environment 

Highly motivated and ability to be flexible in case of changing priorities. 

2.3   COMMUNICATION

Responsible for timely, accurate recording of results.

Ensures data integrity is maintained through the correct, prescriptive procedure of logging client data.

Produces high standard, good quality data to provide to clients, reproducible, without fail.   

Use standard established statistical and analysis packages.

Supports data entry and study documentation in relation to ethics and welfare.

May start to present results in lab meetings.

Consults with supervisor when difficulties arise that cannot be readily resolved.

Seeks input as needed from supervisor or other scientific staff for guidance

Communicates and collaborates with scientific staff 

Reports study deviations to line manager promptly to protect company and client interests

Good data entry skills and interpretation of the results, ability to communicate results via informal discussions

Generating and maintaining clear experimental records 

May interact with clients when required, effectively maintaining and building working relationships

5.0    Qualifications

5.1   EDUCATION

BSc degree with significant relevant lab-based experience, preferably in the pharmaceutical or biotechnology industry or a similar HNC in Biology, Pharmacology, Neuroscience, or a related discipline.

HO licence 1-4, including rodent dosing, behavioural testing, surgical techniques, tissue dissections 

5.2   EXPerience

Ability to manage data entry, and data recording, some experience in analysing data and report writing

Excellent organisational, problem-solving and communication skills

Ability to work well within a team, as well as independently and proactively

Ability to work on multiple studies in multiple areas in a fast-paced environment

Highly motivated and ability to be flexible in case of changing priorities.

As the research assistant/ electrochemist you will be in charge of making and testing batteries and lab maintenance. You should have strong lab experience and know lab-etiquette as you will be in charge of looking after the labs. Previous electrochemistry and battery assembly experience is desired but not necessary as you can gain these skills working with our senior scientists given that you have a good technical background. However, it is important to keep in mind that battery cell making requires manual dexterity, attention to detail, precision and handling small or fragile materials/parts. You should be able to troubleshoot and solve technical problems and independently manage day-to-day laboratory tasks.

Responsibilities

• General lab duties such as cleaning and drying battery cell components and upkeep of gloveboxes and lab areas.
• Electrode material inspection, qualification and coin and pouch cell assembly in glovebox.
• Battery testing using electrochemical workstations and cyclers
• Identify and troubleshoot defects or inconsistencies in the assembly process.
• Logging and reporting electrochemical data and its initial analysis with the view to making further improvements.
• Destructive part analysis on allocated cells.
• Waste management.
• COSHH and SOP management.

Qualifications

• A chemistry/materials science master’s degree OR more than >3 years of lab experience in a relevant industry (materials science, electrochemistry, engineering)
• Basic skills with MS Office/Office 365 suite of programmes
• Basic knowledge of hand tools and labware.

Salary

£25K - £40K depending on work experience and qualifications

The Role

A 24-month fixed term full time Research Assistant (RA) position is available in the Department of Geography at Durham University. The successful candidate will join the project 'V2C: Viking To Christian Landscapes Across The Norweigain Sea: Agricultural Trajectories And Resilience Usng SedaDNA and Fecal Lipids'. The project is led at Durham by Dr Helen Mackay and is funded by the Research Council of Norway.

As a RA on this project, the successful applicant will be required to develop reconstructions of human and animal activity from lakes and wetlands close to Viking-Medieval archaeological sites in northern Norway and Scotland using faecal steroid lipid biomarkers. Faecal steroid reconstrutions for the last 1500 years will be compared to other proxies of environmental change (such as sedaDNA, pollen and pXRF) and archaeological evidence developed by collaborators at the The Arctic University of Norway, University of Bergen and Universities of the Highlands and Islands. The wider project will provide a new comprenshive understanding of the balance of cultural and environmental factors in landscape history from the Viking to Christian periods in northern Norway and the Northern Isles, UK. The main responsibilities of the RA will be to develop faecal steroid datasets from lake sediments by processing sediment samples for gas chromatography analysis in a containment level 2 (CL2) laboratory, following established laboratory protocols, assisting with quality control, troubleshooting, and running of GC-FID and GC-MS. A further responsibility will be to prepare data, figures and text for publication and to communicate the interim and final findings of the research at collaborator workshops and other scientific meetings.

This is a great opportunity to work as part of a friendly team on a cutting-edge project. The RA will have access to outstanding resources including laboratory facilities.

The successful candidate will have demonstrated experience in creating geochemical data and in compiling and presenting geochemical data sets. Previous experience of working with sedimentary archives to reconstruct environmental change and/or organic geochemical analysis would be an advantage.

This post is fixed term for 24 months. The funding is available from 01.11.2025 and the project is time-limited and will end on 31.12.2027. Successful applicants will, ideally, be in post by 1^st November 2025, but must start no later than 5^th January 2026

The post-holder is employed to work on research/a research project which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols.

Successful applicants will, ideally, be in post by 1st November 2025

The Role

A 6-month fixed-term Research Assistant (RA) position is available in the Department of Psychology at Durham University. The post will be split across 2 projects on neurodiversity. The first project is the Triple-A project ( ) which is being led PIs Professor Hanley and Professor Riby, and the post holder would work on this project for 3 days a week for 6 months (1^st October 2025 - 31^st March 2026). Triple-A is a programme of translation of research to impact in the area of neurodiversity and education. The post-holder would be involved in the evaluation of the Triple-A training programme for educators. This project is funded by the Durham University Research Impact Fund.

The second project focuses on neurodiversity, mental health and the criminal justice system (PIs Professor Walker & Professor Riby), and the post-holder would work on this project for 1.5 days per week for 2 months (1^st October 2025 - 30 November 2025) and then 1 day per week for the remainder of the post (1^st December 2025 - 31^st March 2026). This project is all about capacity building in neurodiversity, mental health, and the criminal justice system, reviewing current resources and practices to feed into future work. Two core elements of this work are the completion of a local needs analysis focused on mental health support in the North East of England and liaising with Durham University Research Innovation Services on a gap analysis of mental health research in the institution. The project therefore involves working with a range of key stakeholders. This project is funded by the Durham University Seedcorn fund.

Together, these projects require the post holder to have an excellent understanding of neurodiversity, and a core theme of the work is the support of neurodivergent people within our society, whether that be within education or within the criminal justice system.