The post requires a candidate who has experience in Clinical Animal Behaviour. Accreditation as a CCAB, is desirable, alternatively the candidate must be willing to work towards this, with the support of the clinic team. Practical training experience and the ability to support clients with the implementation of behaviour modification protocols is required.

The candidate needs to have the ability to undertake administrative tasks, including working with a range of software packages relating to word processing, finance and website maintenance. Experience with day to day management of clinical bookings and material, as well as an appreciation for client confidentiality and appropriate data management is essential.

The successful applicant will work as part of a small and supportive clinical team comprising a European Specialist in Behavioural Medicine, Residents of the ECAWBM and a Non-Veterinary Behaviourist. They will also work alongside the wider School of Natural Sciences staff, especially the technical team associated with general animal care within the School. 

Experience supporting students and colleagues in practical dog handling and training skills development is desirable.

The School of Natural Sciences provides a friendly and collaborative environment, with excellent facilities located at the University’s city‑centre Brayford Pool Campus.

The University of Lincoln is committed to equality, diversity and inclusion, and as an Athena Swan Bronze Award holder, particularly encourages applications from women and others underrepresented in STEM.

Informal enquiries:
 Helen Zulch – hzulch@lincoln.ac.uk

Closing Date: 21 Sep 2026

Department: Technical

Salary: £28,031 per annum
Please note, this post is permanent and full-time at 37 hours per week.

Funded by the EPSRC UK Open Multimodal AI Network (UKOMAIN) through its Open Multimodal AI Benchmark (OMAIB) programme, HabiBench builds on the team's NERC-funded AI-Hab research. It will combine ground-level habitat photographs, satellite-derived geospatial representations and ecological descriptions into a high-quality open dataset supporting biodiversity monitoring, Biodiversity Net Gain and land-use decision-making.

As Research Assistant, you will help design and implement the automated data-construction pipeline; curate and quality-assure ecological and geospatial datasets; contribute to baseline multimodal AI models, evaluation and benchmarking; and prepare open releases through GitHub, Hugging Face and Zenodo. You will work with researchers and partners including the University of Sheffield, the UK Centre for Ecology & Hydrology (UKCEH) and Mozaic Earth.

You should have an honours degree (2:1 or above) and/or a master's degree in Computer Science, Data Science or a closely related subject, with good Python skills and experience of machine-learning or data-processing workflows such as PyTorch or Pandas. Experience handling and curating datasets and an interest in collaborative, interdisciplinary AI research are essential.

Experience in computer vision, large language models, foundation models, geospatial machine learning, benchmarking, reproducible or open research, or biodiversity and environmental AI would be advantageous. Familiarity with Git/GitHub and AI coding assistants would also be useful.

This is a full-time, fixed-term Grade 6 post for two months, based at Brayford Campus, Lincoln, with hybrid/remote working arrangements considered subject to project needs. 

For an informal discussion, please contact Dr Hongrui Shi at hshi@lincoln.ac.uk.

Closing Date: 09 Sep 2026

Department: Internal Only Vacancies

Salary: £33,002 per annum
Please note, this post is fixed-term and full time for 2 months.

We are seeking an ambitious and collaborative Postdoctoral Research Associate to join a new EPSRC Health Technologies Connectivity Award led by Dr Wenting Duan at the University of Lincoln. The project focuses on developing clinically grounded AI for brain metastasis imaging in close collaboration with Professor Dorothee Auer and Dr Stefanie Thust, alongside clinical and imaging researchers at the University of Nottingham and Nottingham University Hospitals NHS Trust.

This is an exciting opportunity for a talented early-career researcher to help shape a focused and growing research programme at the interface of artificial intelligence, medical image analysis, and clinical neuro-oncology. The project is motivated by real clinical challenges in brain metastasis imaging, including small and difficult-to-detect lesions, variation in MRI protocols across hospitals, lesion heterogeneity, and the need for robust and clinically meaningful methods that can translate beyond narrow benchmark settings.

The successful candidate will work closely with the Project Lead and partner clinical collaborators to develop and evaluate AI methods for brain metastasis detection and analysis using public and partner imaging datasets. Depending on expertise and project needs, this may include work on lesion detection and segmentation, multimodal analysis, model robustness and generalisation, morphology-aware analysis, and clinically informed evaluation. The role will also involve dissemination through high-quality publications and conferences, engagement with external stakeholders, and contribution to the development of future translational funding opportunities.

A distinctive feature of this post is the opportunity to work within a strongly interdisciplinary setting. The project is designed not only around technical AI development, but also around engagement with clinical workflow, imaging practice, and real translational constraints. The postholder will benefit from research visits to collaborators, access to computing support and research equipment, conference participation, and immersion in a collaborative clinical research environment.

Applicants should have, or defended the viva of, a PhD in computer science, artificial intelligence, medical image analysis, biomedical engineering, or a closely related discipline. We are particularly interested in candidates with a strong technical background in medical image computing, machine learning, computer vision, or multimodal AI, together with excellent programming and communication skills. Experience in areas such as lesion detection or segmentation, domain generalisation, robust evaluation, clinically motivated AI, or imaging biomarker analysis would be especially valuable. Evidence of research potential through publications, software, or other high-quality outputs is essential.

We particularly welcome applicants who are excited by interdisciplinary research, motivated by clinically relevant problems, and keen to work in close partnership with imaging and clinical collaborators. The role would suit a candidate who wants to combine methodological strength with real-world research impact and who is ready to contribute actively to a developing research direction with significant future potential.

Fixed-term: The funds for this post are available for 2 years.

Start date: 01/03/2027

Please include the contact details of one academic referee on the online application form and upload:

For more information about the position, please contact Dr Wenting Duan (wduan@lincoln.ac.uk).

Closing Date: 27 Sep 2026

Department: Research

Salary: £38,784 per annum

You will be a registered GDC professional with experience of delivering patient care, education and a commitment to excellent student experience. This post is at a critical time for the new BSc programme and will be integral to the development of the new curriculum and leading and developing a new team of dental and oral health professionals.

For an informal conversation about the role please contact Fiona Ellwood, Director of Dental Education (fellwood@lincoln.ac.uk).

Closing Date: 07 Sep 2026

Department: Academic

Salary: £38,784 per annum
Please note, this post is permanent and full-time at 1 FTE.

To support our new case-based, clinically integrated curriculum, we are seeking to appoint two enthusiastic and experienced Clinical Skills Tutors (0.1 FTE). The successful applicants will facilitate small-group clinical skills teaching, primarily on Thursday mornings, helping students develop the practical, procedural and professional skills required for safe and effective clinical practice.

This is an exciting opportunity for clinicians with a passion for undergraduate medical education to contribute to the development of future doctors within a supportive and collaborative academic environment.

As this is a teaching-only post with no associated clinical sessions, applicants must maintain an ongoing clinical commitment within their own specialty to support their professional registration and, where applicable, GMC revalidation.

For an informal discussion about the role, please contact Professor Louise Potter, Vice-Dean Medicine at lpotter@lincoln.ac.uk.

Closing Date: 06 Sep 2026

Department: Academic

Salary: Please note, this post is permanent and part-time at 0.1 FTE.

To support our new case-based, clinically integrated curriculum, we are seeking to appoint three part-time (0.1 FTE) Case-Based Learning Facilitators who will work with student groups on Monday mornings. Working alongside other academic staff, the successful candidates will be enthusiastic about learning and committed to collaborative practice and teamwork. In the first year of the role, in addition to facilitating student learning, they will also contribute to writing of the clinical cases and guidance for facilitators.  

Applications are welcomed from medically-qualified individuals as well as those from other healthcare and cognate disciplines. The salary offered is on the University of Lincoln’s grade 7 scale. Salary matching to clinical pay scales is not offered.

For an informal conversation about the role please contact Professor Danny McLaughlin, Dean of Medical Education (dmclaughlin@lincoln.ac.uk).

Closing Date: 06 Sep 2026

Department: Academic

Salary: £38,784 pro rata
Please note, this post is permanent and part-time at 0.1 FTE.

This is a Teaching and Research post, with an expected balance between sustaining the post-holder’s own high-quality research profile and providing leadership across research-related teaching and staff research development. The successful candidate will be an active researcher in a health or care-related field represented within the School, with a strong track record of research outputs, research leadership and research-informed teaching.

The post-holder will be expected to develop their own programme of research aligned with School, College and University priorities, contributing to outputs, funding activity, impact, postgraduate research supervision and future REF ambitions. They will also play a key role in strengthening research culture across the School by supporting academic colleagues to develop their research confidence, capability and activity.

The role will include leadership and oversight of shared research teaching across the School, working with programme teams to support coherence, quality and innovation in research-related teaching and learning. This will include enabling students across undergraduate and postgraduate health and care programmes to engage with research, evidence-informed practice and inquiry-led learning.

We are seeking a collegiate academic leader who can combine an active personal research profile with the ability to inspire, support and develop others. The successful candidate will contribute to the wider development and management of the School and College, supporting strategic priorities and helping to build a positive, inclusive and ambitious academic culture.

Situated in the heart of the historic city of Lincoln, the University is proud of its reputation for placing students at the centre of everything it does. We are a values-driven university: ambitious, inclusive and continually evolving. Through excellence in education, research and partnership, we are committed to transforming lives and communities across Lincolnshire and beyond.

To find out more about this post, the school and working at Lincoln, please email the Head of School, Prof Kate Grafton kgrafton@lincoln.ac.uk

Interviews: Friday 2nd October at Lincoln's Brayford Campus

Closing Date: 13 Sep 2026

Department: Academic

Salary: £58,225 per annum
Please note, this post is permanent and full-time at 1 FTE.

Insect eggs are incredibly intricate and complex structures which are poorly studied when compared to sperm. To fertilise insect eggs, sperm must pass through a tiny pore called a micropyle, which connected to a channel leading inside the egg. Through our previous work on insect egg and sperm, we have shown that sperm and egg micropyles co-evolve.

The aim of this project is to quantify and explore the form and function of insect egg micropyles across insects. The post you would hold sits at the experimental heart of this: fabricating nano-scale physical analogues of egg surfaces and micropylar pores, and imaging live sperm as they move across and through them. These experiments are complemented by evolutionary analysis and mathematical modelling carried out with the wider team.

This is a laboratory-based post and we are looking above all for a strong experimentalist. You will have a PhD (or close to completion) in experimental biophysics, bioengineering, applied physics or a closely allied discipline, with demonstrable hands-on experience of micro- and nanofabrication and of quantitative live-cell imaging. You will fabricate microfluidic devices and develop live imaging protocols to visualise sperm movement over engineered surfaces and through pores. You will also contribute to computational modelling of sperm movement alongside our collaborator Dr Adnan Morshed (Tulane University, USA) and write and run analysis code in R and/or Python. You will have excellent communication skills with the ability to talk to different audiences, as you will be collaborating with a team of researchers across multiple disciplines both in the UK and overseas.

Closing Date: 10 Sep 2026

Department: Research

Salary: £38,784 per annum
Please note, this post is fixed-term for 36 months and full-time at 1 FTE.