AI Research Innovation Fellow
| Posting date: | 05 March 2026 |
|---|---|
| Salary: | £38,784 to £46,049 per year |
| Hours: | Full time |
| Closing date: | 26 March 2026 |
| Location: | Hatfield, Hertfordshire |
| Remote working: | On-site only |
| Company: | University of Hertfordshire |
| Job type: | Temporary |
| Job reference: | REQ000550 |
Summary
Post Title: AI Research Innovation Fellow
SBU/Department: School of Health, Medicine and Life Science
FTE: 1.0fte (37 hours per week)
Duration of Contract: Fixed Term (2 Years)
Salary: UH7 £38,784pa to £46,049pa by annual increments on achieving designated skills and experience
Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year
Location: College Lane Campus
This fellowship offers a unique opportunity to apply cutting-edge AI techniques to real-world challenges in health, medicine, and the life sciences. This is an ideal role for a technically strong, forward-thinking researcher who wants to drive meaningful innovation, champion ethical AI, and make a tangible difference to health and biomedical research.
Main duties and responsibilities
You will design and validate AI models across diverse domains, from clinical trials and pharmaceutical research to biomedical analytics, biomechanics, and sports science, while delivering high-impact demonstrators that showcase the power of AI in practice. Working closely with senior academics, students, and external partners, you will help embed AI into interdisciplinary projects, shape the School’s AI capability, and contribute to grant writing, publications, and international collaborations. You will also play a key role in building AI capacity through training workshops, student supervision, and active participation in academic life.
Skills and experience required
You will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have a methodical, detail-oriented approach. Excellent communication, interpersonal, and presentation skills, combined with adaptability, initiative, and commitment to continuous learning. Public engagement experience is desirable.
Qualifications required
We’re looking for a talented AI researcher with a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline, as well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or related field, or equivalent experience.
Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the Person Specification.
Internal applicants – please ensure you apply via your employee self-service portal.
An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate.
Please note, this post cannot be visa sponsored unless you can evidence a PhD / Doctorate.
Contact Details/Informal Enquiries: Rich Callaghan (Associate Dean Research) r.callaghan@herts.ac.uk
Closing Date: 26 March 2026
Interview Date: TBC
Reference Number: REQ000550
Date advert placed: 05 March 2026
Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics, and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. #GoHerts
SBU/Department: School of Health, Medicine and Life Science
FTE: 1.0fte (37 hours per week)
Duration of Contract: Fixed Term (2 Years)
Salary: UH7 £38,784pa to £46,049pa by annual increments on achieving designated skills and experience
Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year
Location: College Lane Campus
This fellowship offers a unique opportunity to apply cutting-edge AI techniques to real-world challenges in health, medicine, and the life sciences. This is an ideal role for a technically strong, forward-thinking researcher who wants to drive meaningful innovation, champion ethical AI, and make a tangible difference to health and biomedical research.
Main duties and responsibilities
You will design and validate AI models across diverse domains, from clinical trials and pharmaceutical research to biomedical analytics, biomechanics, and sports science, while delivering high-impact demonstrators that showcase the power of AI in practice. Working closely with senior academics, students, and external partners, you will help embed AI into interdisciplinary projects, shape the School’s AI capability, and contribute to grant writing, publications, and international collaborations. You will also play a key role in building AI capacity through training workshops, student supervision, and active participation in academic life.
Skills and experience required
You will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have a methodical, detail-oriented approach. Excellent communication, interpersonal, and presentation skills, combined with adaptability, initiative, and commitment to continuous learning. Public engagement experience is desirable.
Qualifications required
We’re looking for a talented AI researcher with a degree or equivalent level 6 qualification, or higher qualification in a relevant discipline, as well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or related field, or equivalent experience.
Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the Person Specification.
Internal applicants – please ensure you apply via your employee self-service portal.
An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate.
Please note, this post cannot be visa sponsored unless you can evidence a PhD / Doctorate.
Contact Details/Informal Enquiries: Rich Callaghan (Associate Dean Research) r.callaghan@herts.ac.uk
Closing Date: 26 March 2026
Interview Date: TBC
Reference Number: REQ000550
Date advert placed: 05 March 2026
Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics, and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. #GoHerts
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.