Research Fellow in AI/ML (Artificial Intelligence / Machine Learning)
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Role details
Tech stack
Job description
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.
Requirements
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.
Benefits & conditions
UH7 £39,560pa to £46,970pa, by annual increments on achieving designated skills and experience., 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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