Research Fellow in Large Data Analytics

Cranfield University.; Cricklade; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A specialist postgraduate university in Cricklade seeks a candidate to lead data capture and analysis initiatives. The ideal candidate will demonstrate extensive experience with large data sets, statistical analysis, and machine learning techniques while fostering collaboration with academic and industry partners. This role offers flexible working arrangements that balance on-site and remote working opportunities.

Benefits

Flexible working options

Commitment to Equality, Diversity, and Inclusion

Family-friendly work environment

Qualifications

• Extensive experience of working with large data sets.
• Ability to interact with academic and industry partners.
• Self-motivated and able to find innovative solutions.

Responsibilities

• Capture and record large data sets manually and computationally.
• Develop integrative strategies for diverse data.
• Apply statistical and machine learning for data analysis.

Skills

Experience with large data sets

Statistical analysis

Machine learning techniques

Data visualization

Communication with non-scientists

Job description

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.

Qualifications

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.

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: 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.