17 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"TCAT-Dickson" positions at CRANFIELD UNIVERSITY
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development budget Apply by: 12/04/2026 Role Description We welcome applications from passionate, skilled, committed, prospective experts in Data Science in Food Systems to join our team passionate in onion
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team on a fixed-term basis. This is a pivotal role in shaping the future of our reward strategy, optimising HR systems and processes, and driving data-led decision-making across the University. About the
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and content; and work closely with business development and academic teams to align marketing efforts with client needs. You will combine strong analytical skills with creative flair, using data
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, collecting and analysing experimental and operational data, evaluating machine performance, and preparing high-quality technical reports for industrial partners. The Research Fellow will also be expected
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, and using data to inform decision‑making and identify opportunities. You will be organised, proactive and resilient under pressure, with excellent communication skills and the ability to manage a busy
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. The role of the Finance Professional Service Unit is to ensure that all financial data is processed to enable payments to be made and received accurately and in a timely manner, and that relevant, timely and
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Learning and Data Analytics. You will have experience in composing project deliverables and delivering effective presentations and be able to assist in project integration workshops and other meetings. With
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agrifood systems and experience in research, data analysis and stakeholder engagement. You will demonstrate initiative and the ability to work both independently and as part of multidisciplinary and
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digital IT systems and computing capability, in support of the strategic priorities for research, education and administration. The University’s business relies critically on information systems and
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AI, Machine Learning and/or Data Science, most likely in two or more of the following subject areas: Artificial intelligence – both technical understanding and user application aspects Machine Learning