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

Overview

The University of Hertfordshire is offering a full-time, fixed-term Research Fellow position in artificial intelligence and machine learning within the School of Physics, Engineering and Computer Science, specifically in the Department of Engineering. This role is part of a collaborative project funded by Innovate UK focused on developing innovative AI and ML algorithms for predictive modelling and optimisation in agricultural applications using heterogeneous data. The position is based at the College Lane Campus in Hatfield, United Kingdom, and is offered at 1.0 full-time equivalent, requiring 37 hours of work per week over a fixed duration of 24 months.

What you get

The position provides a salary ranging from £39,560 to £46,970 per annum, with increases awarded through annual increments upon achieving designated skills and experience. Employees receive 35 days of annual leave plus standard public holidays, along with an additional 4 days that include office closures between Christmas and New Year.

Requirements

Applicants must hold an undergraduate degree, such as an equivalent level 6 qualification, in Computer Science or Engineering in disciplines like electronics or electrical engineering. Candidates are also required to possess a PhD or equivalent level 8 qualification in a relevant subject area, or be close to completion with no more than 3 months prior to the viva, or have equivalent experience. Essential criteria include research experience in the subject area including collaborative partnerships, significant experience in artificial intelligence and machine learning, familiarity with AI and ML frameworks such as PyTorch, TensorFlow, and Scikit-Learn, and the ability to develop AI and ML projects and implement specialised innovative ideas into code. A record of scholarly work, such as peer-reviewed journal publications, and experience presenting research findings at local and national levels are also required. Additionally, candidates must have good IT skills, accurate keyboard skills, numeracy and literacy, and excellent spoken and written English communication and interpersonal abilities.

How to apply

Interested candidates must submit a personal statement that clearly demonstrates how their skills and experience align with the person specification. Internal applicants are required to apply through their employee self-service portal. An Academic Technology Approval Scheme certificate may be required for appointment, and visa sponsorship is restricted to candidates who can provide evidence of a PhD or doctorate. Informal enquiries can be directed to Prof. Iosif Mporas via email.

Key dates

The closing date for applications is 22 November 2026. The interview date is to be confirmed.