Research Fellow in AI/ML (Artificial Intelligence / Machine Learning)

Research Fellow in AI/ML (Artificial Intelligence / Machine Learning)

Reference: REQ000839

Job details

Job referenceREQ000839 Apply by22/11/2026 LocationCollege Lane Campus SalaryUH7 £39,560pa to £46,970pa, by annual increments on achieving designated skills and experience. PackageBlank Contractual hours37 BasisFull Time Job category/typeAcademic/Research Attachments Research Fellow in AI ML REQ000839 JDPS.pdf Research Fellow in AI ML REQ000839 Annex.pdf

Research Fellow in AI/ML (Artificial Intelligence / Machine Learning)

Job description

Post Title: Research Fellow in AI/ML (Artificial Intelligence / Machine Learning)

SBU/Department:  School of Physics, Engineering and Computer Science / Dept of Engineering.

FTE: 1.0 FTE (working 37 hours per week).

Duration of Contract: Fixed term for 24 months.

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, Hatfield.

The School of Physics, Engineering and Computer Science is seeking a Research Fellow (postdoc) to work within the Intelligent Control Autonomous Systems (ICAS) research lab, Networks and Security Research Centre. The post supports a 2 year project, funded by Innovate UK, developing innovative AI/ML algorithms with application in agriculture.

Main duties and responsibilities

As a postdoctoral Research Fellow, you will deliver research for the development of innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications from heterogeneous data. The post is part of a collaborative project funded by Innovate UK. You will have to support the Principal Investigator (Academic Lead) in achieving the project milestones, attend project meetings as required, undertake the development of AI/ML software tools, handle data management and analysis as required, contribute to the design and organisation of the R&D project, assist with project administration, assist with collating and writing publications, the project reports and working papers.

Skills and experience required

You will have Research experience in the subject area including, as appropriate, collaborative partnerships with other HEI’s or external partners, supported by Significant experience in Artificial Intelligence and Machine Learning including experience in AI/ML frameworks (e.g. TensorFlow, Scikit-Learn, PyTorch, etc) and in developing AI/ML projects.

You will hold a record of scholarly work such as published work in peer reviewed journals, alongside experience of presenting research findings such as contributions to conferences and symposia at a local and national level. Knowledge and experience in AI/ML frameworks (e.g. TensorFlow, Scikit-Learn, PyTorch, etc) and developing AI/ML projects, and the ability to implement specialised innovative ideas into code is essential for this role.

You will possess good IT skills, including the use of MS Office, excellent interpersonal and presentation skills in spoken and written English and be numerate and literate with accurate keyboard skills.

Qualifications required

An undergraduate degree (or equivalent level 6 qualification) in Engineering (Electronics /Electrical) or Computer Science in a relevant subject area.

A PhD (or equivalent qualification level 8 qualification) or close to completion of PhD (no more than 3 months prior to viva) in Engineering (Electronics /Electrical) Computer Science or another relevant subject area, 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: Prof. Iosif Mporas (email: [email protected])

Closing Date: 22 November 2026.

Interview Date: TBC

Reference Number: REQ000839

Date advert placed: 27 October 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

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Research Fellow in AI/ML (Artificial Intelligence / Machine Learning)

Job description

Post Title: Research Fellow in AI/ML (Artificial Intelligence / Machine Learning)

SBU/Department:  School of Physics, Engineering and Computer Science / Dept of Engineering.

FTE: 1.0 FTE (working 37 hours per week).

Duration of Contract: Fixed term for 24 months.

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, Hatfield.

The School of Physics, Engineering and Computer Science is seeking a Research Fellow (postdoc) to work within the Intelligent Control Autonomous Systems (ICAS) research lab, Networks and Security Research Centre. The post supports a 2 year project, funded by Innovate UK, developing innovative AI/ML algorithms with application in agriculture.

Main duties and responsibilities

As a postdoctoral Research Fellow, you will deliver research for the development of innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications from heterogeneous data. The post is part of a collaborative project funded by Innovate UK. You will have to support the Principal Investigator (Academic Lead) in achieving the project milestones, attend project meetings as required, undertake the development of AI/ML software tools, handle data management and analysis as required, contribute to the design and organisation of the R&D project, assist with project administration, assist with collating and writing publications, the project reports and working papers.

Skills and experience required

You will have Research experience in the subject area including, as appropriate, collaborative partnerships with other HEI’s or external partners, supported by Significant experience in Artificial Intelligence and Machine Learning including experience in AI/ML frameworks (e.g. TensorFlow, Scikit-Learn, PyTorch, etc) and in developing AI/ML projects.

You will hold a record of scholarly work such as published work in peer reviewed journals, alongside experience of presenting research findings such as contributions to conferences and symposia at a local and national level. Knowledge and experience in AI/ML frameworks (e.g. TensorFlow, Scikit-Learn, PyTorch, etc) and developing AI/ML projects, and the ability to implement specialised innovative ideas into code is essential for this role.

You will possess good IT skills, including the use of MS Office, excellent interpersonal and presentation skills in spoken and written English and be numerate and literate with accurate keyboard skills.

Qualifications required

An undergraduate degree (or equivalent level 6 qualification) in Engineering (Electronics /Electrical) or Computer Science in a relevant subject area.

A PhD (or equivalent qualification level 8 qualification) or close to completion of PhD (no more than 3 months prior to viva) in Engineering (Electronics /Electrical) Computer Science or another relevant subject area, 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: Prof. Iosif Mporas (email: [email protected])

Closing Date: 22 November 2026.

Interview Date: TBC

Reference Number: REQ000839

Date advert placed: 27 October 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

Apply online Send to a friend