Research Fellow in Large Data Analytics

Cranfield Water; Cranfield; Hybrid; GBP 28,000 - 45,000; Full time

Job summary

A leading specialist postgraduate university in Cranfield is looking for a Research Assistant or Research Fellow to handle large data sets and apply statistical and machine learning techniques. Ideal candidates will have extensive experience and the ability to communicate complex concepts effectively. This role offers a fixed-term contract with a competitive salary ranging from £28,929 to £44,906 depending on qualifications.

Qualifications

• Extensive experience of working with large data sets.
• History of developing models using large data sources.
• Ability to interact with academic and industry partners.

Responsibilities

• Capture and record large data sets.
• Develop integrative strategies for diverse data.
• Apply statistical and machine learning techniques for data analysis.
• Manage large data sets and provide sharing infrastructure.
• Develop research objectives and proposals.

Skills

Experience with large data sets

Ability to explain complex ideas

Self-motivation

Tools

Statistical analysis tools

Machine learning frameworks

Job description

Organisation

Cranfield University

Faculty or Department

Faculty of Engineering and Applied Sciences

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

Posted Date

04/11/2025

Apply by

25/11/2025

Documents

• 5146 - JD & Person Spec.pdf (PDF, 190.83kb)

Role Description

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 impact here.

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 more here.

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 charity Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here.

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): [e-mail]

Please do not hesitate to contact us for further details on E: [e-mail]. Please quote reference number 5146

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.