Our Mission
Coventry University Group is a global education group with a mission of Creating Better Futures. We are driven by our passionate belief in the transformational power of education and research to enable and empower our students, colleagues and partners and to improve the world around them. Our people are key to our success and each role contributes to the Group’s ongoing progress in communities around the world.
The Role
The Research Centre of Computational Science & Mathematical Modelling applies and develops methodologies in computational science to tackle real world problems. We seek to address challenges of the AI revolution such as explainability & interpretability, privacy protection, robustness, and governance. We value problem-led research experience, technical expertise, and programming skills, but also seek individuals with a commitment to open science, a willingness to collaborate and work on trans-disciplinary projects.
This role will increase the university’s capabilities in artificial intelligence (AI) / machine learning / data science. Your primary academic expertise will be in this domain, and your work will focus on applications in one of the university’s priority research areas: Health and Life Sciences; Defence and Security; Engineering for Sustainability; Agriculture and Water Resilience; or the Creative Economies.
The role is split approximately as 60% to perform applied AI research and 40% to perform AI education activities.
A key research duty is to conceptualise, bid for, deliver, and lead impactful research projects in applied AI. We target traditional research funders (e.g. UKRI, EU) but also commercial funders via our AI Adoption Lab which seeks to secure Knowledge Transfer Partnerships (KTPs) alongside consultancy, contract research, and industry funded PhDs. You will also supervise projects by postgraduate research students, supported by our new Coventry Centre for Doctoral Training in AI.
The teaching component of this role will be via our new AI Skills Academy. You will support the development, delivery, and assessment of a variety of courses including short-term Continuous Professional Development (CPD) and Executive Education courses to external clients; longer-term apprenticeships course; and AI upskilling activities for CU Group staff and students.
Qualifications Required
A PhD or equivalent in a relevant discipline such as Computer Science or a related field.
Our Successful Candidate
You will bring exciting ideas for future research projects aligned with the existing areas of work in the university. You will use these to lead major research funding bids; as well as seeking income for knowledge translation projects, industry sponsored PHD programs, consultancy, and contract research, bringing prior experience in some of these. You will have the research experience with either generative AI tools (e.g. fine tuning, prompt engineering, retrieval-augmented generation) or machine learning tools (e.g. data preparation, model selection, optimisation, and evaluation).
You will already have a strong record of high-quality publications, along with a strategy for future papers in line with the UK REF priorities of originality, significance, and rigour. You will work to build a research group in your field, providing, supervision to Postgraduate Research students and postdoctoral researchers.
The Benefits
Along with a competitive salary we offer an industry leading Rewards and Benefits package which includes:
• Excellent Employers Pension Contribution
• 30 days Annual leave plus Bank Holidays
• New Holiday Purchase Scheme up to 5 additional days
• BUPA Cash Plan
• 50% off Tuition Fee’s for staff dependants
• CU Reward Scheme – Discounts across a range of High Street/ Online Retailers
• New Electric Car Scheme
• Cycle To Work scheme
Our Culture
As a global Education Group, equality, diversity, and inclusion are embedded within the fabric of our organisation and are a key focus of our core values. We harness the power and potential of the diverse cultures, backgrounds, abilities, and experiences of our students, colleagues, and partners to create opportunities for all.
Full Job Description and Person Specification
We look forward to hearing from you!
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