You will play a role in coordinating and delivering inclusive student support within the Vet School. The role focuses on leading the development, review, and implementation of teaching, assessment, and placement support plans, ensuring that students particularly those with disabilities receive appropriate and consistent adjustments across all stages of their studies.

A core aspect of the role involves acting as the central point of contact for inclusion-related matters, providing confidential advice and guidance to students, staff, and applicants. The post holder manages communications, delivers workshops, and supports students through one-to-one engagement, while monitoring student progress and identifying any areas of concern requiring intervention.

The role also requires close collaboration with academic staff, professional services, and external partners to ensure compliance with university policies and professional accreditation requirements. Responsibilities include coordinating examination and placement adjustments, analysing data to inform support strategies, and maintaining accurate records in line with data protection regulations.

Overall, the position combines strong organisational, communication, and problem-solving skills to enhance the student experience, promote inclusion, and ensure equitable access to learning opportunities across the School.

About the Team

The role sits within the Teaching, Learning and Assessment Team at the University of Nottingham’s School of Veterinary Medicine and Science.  The team works collaboratively to ensure that teaching, assessment, and student support processes are well coordinated and delivered to all students.

This involves working closely with academic staff, professional services, and external partners to deliver a cohesive and compliant approach to student support.  The team operates in a fast-paced, collaborative environment with a strong focus on professionalism, inclusivity, operational excellence and service development.

About you

You will bring relevant qualifications or substantial experience in further or higher education, alongside strong administrative experience, data handling and reporting skills, and a sound understanding of GDPR. You will be highly organised, an excellent communicator, and confident managing multiple priorities to demanding deadlines, with a strong commitment to teamwork and continuous improvement.

What we offer

We offer a supportive and inclusive working environment, generous annual leave, a staff reward scheme, opportunities for professional development, and access to a wide range of health, wellbeing, and lifestyle benefits.

What next

Further information is available in the role profile. To apply, please click ‘Apply Now’. This is a permanent, part-time role (29 hours per week).

For informal enquiries, please contact Caroline Watson caroline.watson@nottingham.ac.uk (applications sent directly will not be accepted).

Closing Date: 14 Aug 2026
Category: Administrative, Professional and Managerial (APM)

Working in partnership with academic experts (Dr Adam Blanchard and Dr Nicholas Girkin) in bioinformatics covering plant-microbe interactions, microbial genomics, RNASeq and nitrogen cycling in plants, you will lead a strategic project to develop cost-effective, sustainable biostimulants and biofertilizers optimised to be robust and reliable and replace environmentally damaging synthetic nitrogen fertilizers. As an enthusiastic researcher, this is a career-development opportunity for you to manage a Knowledge Transfer Partnership (KTP). Through the KTP, you will deliver a high-profile, commercially strategic project that will enable NZN to bring new, research-led bioinformatics knowledge essential for building a 'Toolbox' of knowledge to optimise their product formulations that give reproducible benefits to farmers year on year.

You will have the opportunity to demonstrate your ability to develop innovative solutions and communicate complex information to a variety of audiences within NZN and its stakeholders.

You should hold a PhD (or close to completion) in microbiology, molecular biology, bioinformatics, or a related life science discipline, or equivalent relevant expertise. We are looking for a candidate with experience in microbial culture and molecular techniques, alongside a basic competence in computational analysis. Familiarity with RNASeq, pan-genome analysis, and plant-microbe interaction studies is essential.

As a people-orientated individual, you will have the ability to influence and engage collaboratively with NZN, UoN and other stakeholders. As a proactive person, you will have the passion and desire for creating something new, be enthusiastic and motivated to organise your own time effectively and have a flexible approach to prioritising work tasks.

Throughout the KTP, you will be fully supported and mentored to nurture your talent. You will have your own budget of £2,000 pa for training and CPD, helping you develop your skillset and reach your personal and professional career goals. UoN is committed to providing competitive employment packages whilst supporting the well-being of its staff to help them reach their full potential. As an employee of UoN, you will have access to the University’s resources and a range of benefits and rewards, including staff discounts, travel schemes and an attractive pension scheme. KTP is a UK Government scheme promoting sustained and mutually beneficial relationships between universities and industry. 

This is a 24 months fixed-term contract. The post is based at NetZeroNitrogen in the Biodiscovery Institute, Nottingham NG7 2RD. There is a possible relocation to BioCity, Pennyfoot Street, Nottingham, NG1 1GF. 

Informal enquiries may be addressed to Adam Blanchard, email: adam.blanchard@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

Closing Date: 20 Aug 2026
Category: Research and Teaching (R&T)

The project uses computer vision and artificial intelligence to identify behavioural indicators of musculoskeletal injury — primarily limb injuries — in stabled racehorses. Continuous monitoring of behaviour in the stabled environment offers a unique opportunity to capture rich behavioural data to validate a computer vision tool measuring 24-hour time budgets and behavioural patterns, with the goal of developing alerts that flag injury risk during the training season. Vet Vision AI has developed this technology to characterise behaviour in healthy horses and to detect patterns associated with disease in hospitalised horses. This project applies these techniques to racehorse injury monitoring and prevention for the first time. 

Identifying behavioural patterns that precede injury would be a step-change for equine health, welfare and performance. It would open a new area of research into racehorse behaviour and underpin early-warning systems with the potential to change how the industry monitors and protects horses in training.

This is a senior postdoctoral role that demands deep expertise in equine behaviour and veterinary science, strong industry credibility, and the judgement to lead delivery across academic and commercial partners. The successful applicant will join a collaborative and well-connected research group within the School of Veterinary Medicine and Science (SVMS). The post is primarily research-focused, with some teaching and administrative duties. The role involves significant time working directly with racehorses through the project partner Johnston Racing, and close collaboration with industry partner Vet Vision AI.   

The postholder will collaborate widely across SVMS research teams and contribute to mentoring undergraduate and postgraduate researchers. SVMS was ranked second in the UK for research power in the most recent Research Excellence Framework and has consistently ranked first in the National Student Survey since 2011. The post is based at Sutton Bonington Campus and will involve independent travel to project partners Vet Vision AI (Derbyshire) and Johnston Racing (North Yorkshire). This is a three-year, full-time (36.25 weekly hours) post offered at an enhanced salary reflecting the seniority of the role.   

Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details.

Please contact Laura Randall (laura.randall@nottingham.ac.uk) if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted.

Closing Date: 05 Aug 2026
Category: Research and Teaching (R&T)