Organisation/Company CRANFIELD UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom Application Deadline 25 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Organisation: Cranfield University
Faculty or Department: Commercial
Based at: Cranfield or Shrivenham, Oxfordshire
Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered.
Contract type: Fixed term contract
Fixed Term Period: 12 months
Salary: Research Assistant (if close to completing PhD): Full time starting salary is normally in the range of £28,929 to £33,825 per annum, with potential progression up to £39,586 per annum. Research Fellow (if PhD obtained): Full time starting salary is normally in the range of £37,337 to £44,906 per annum
Apply by: 25/11/2025
Are you looking for an opportunity to create significant impact and influence across a new large data set? We are offering a unique opportunity to drive the development, capture and iterative improvement of both a large data set model, and the techniques to generate informative report-based outputs.
About the Role
Your role will contribute to the data capture, recording and iterative development of large data and the associated interrogation techniques, data visualisation through various reporting mediums.
You will be responsible for:
* The manual and computational capture and recording of large data sets, the design and integration techniques to enable data validation, integrity, analysis, output validation and reporting.
* Developing integrative strategies for a diverse set of data, integrating the outcomes to inform future projected trend analysis.
* Applying statistical and machine learning to project future data analysis.
* Managing and analysing large data sets using efficient data structures and providing infrastructure for sharing resources.
* Developing research objectives and proposals for own or joint research, with assistance of a mentor if required.
* Applying knowledge in a way which develops new intellectual understanding, for example generative AI, and deep learning-based methods.
About You
You will have extensive experience of working with large data sets. Candidates are expected to have a history of developing models using large data sources and methods.
You will have the ability to interact with academic and industry partners to explain complex ideas to non-scientists in a comprehensible way.
We value your ability to work independently and self-motivate, enabling you to find innovative and practical solutions to complex problems.
You will need to successfully undertake a Baseline Personnel Security Standard (BPSS) check to be offered the role.
About Us
As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impacthere .
Our Values and Commitments
Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out morehere .
We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charityWorking Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Workinghere .
Working Arrangements
Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.
How to apply
For an informal discussion about this opportunity, please contact Chris Buckland, Security Commercial Director, on (E):c.buckland@cranfield.ac.uk
Closing date for receipt of applications: 25 November 2025
Interviews to be held: Tuesday 02 December 2025
Please note that we reserve the right to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.
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