Job Board

Companies

The University of Sheffield

Research Fellow in Artificial Intelligence for Engineering

Sheffield Full-Time 48149 - 57422 £ / year (est.) No home office possible

Apply now

At a Glance

Tasks: Conduct cutting-edge research in AI and engineering, focusing on machine learning applications.
Company: Join the University of Sheffield, a top-ranked institution known for innovation and diversity.
Benefits: Enjoy flexible working, generous leave, discounts, and a commitment to your personal development.
Why this job: Shape the future of AI in engineering while building a strong academic profile and network.
Qualifications: PhD or nearing completion in Machine Learning or related fields; strong software skills required.
Other info: This is a four-year fixed-term role with opportunities for collaboration and professional growth.

The predicted salary is between 48149 - 57422 £ per year.

Research Fellow in Artificial Intelligence for Engineering

Join to apply for the Research Fellow in Artificial Intelligence for Engineering role at The University of Sheffield

Research Fellow in Artificial Intelligence for Engineering

Join to apply for the Research Fellow in Artificial Intelligence for Engineering role at The University of Sheffield

Get AI-powered advice on this job and more exclusive features.

The University of Sheffield provided pay range

This range is provided by The University of Sheffield. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from The University of Sheffield

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

Overview

The School of Electrical and Electronic Engineering at the University of Sheffield seeks to appoint a Research Fellow on a full-time fixed-term contract for four years.

This is a rare opportunity for the successful applicant to develop further towards leading an independent academic career at the interface of AI and engineering applications (such as advanced manufacturing). The role holder will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing on aspects of explainable machine learning within a range of engineering applications. In addition, you will assist the Head of School in managing his personal research and group consisting of early career research associates and PhD students.

You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities for further research collaboration and dissemination. The role will offer some opportunities for supporting taught students too (i.e. research-level projects), hence enabling the successful applicant to build a strong overall academic profile towards a future career in academia (i.e. towards a Lectureship in future years).

The School of Electrical and Electronic Engineering (EEE) is part of the prestigious Faculty of Engineering, which is one of the largest academic communities of engineers in the UK, ranked joint first in the UK for Research Environment in the latest Research Excellence Framework (REF 2021).

We are home to several national institutes and centres (e.g. National Epitaxy Facility, The National 6G Radio Systems Facility, National mmWave Facility, Rolls-Royce Control, Monitoring and Systems Engineering University Technology Centre). We strive to conduct fundamental research and innovation to address global challenges, while also supporting the education of the next generation of engineers.

Main Duties And Responsibilities

Conduct personal research of international standing, which includes identifying literature and updating own knowledge; assessing the validity of the relevant literature and lead scientific/engineering contributions to the development of own field.
Write up research work for publication and give presentations at conferences.
Determine research objectives, and initiate and implement a programme of research. This may include managing time, materials, finance and equipment.
Disseminate research findings/results through the production of papers for high quality journals and presentation either in-house or at national/international conferences or seminars.
Identify appropriate sources of funding and support for the preparation of research proposals for funding bodies.
Apply for, manage or co-manage external research funding over the period of grant(s).
Prepare at least one grant application with PDRA staffing and one without over the period of this post.
Involvement in professional activities such as refereeing papers, editing journals, refereeing research grants, external examining, organising conferences, committee membership and involvement with professional bodies on accreditation.
Supervise or co-supervise undergraduate/postgraduate project students and/or PhD students. Manage Research Assistant(s) and/or Research Associate(s) if requested.
Delegate and monitor the work of research students.
Deal with reactive requests relating to supervising research staff and students.
Participate in consortium meetings and seminars.
Plan several months in advance to meet deadlines for journal publications and to prepare presentations and papers for collaboration meetings and conferences.
Maintain representation and standing by active membership of research and professional committees and groups.
Carry out other duties, commensurate with the grade and remit of the post

Person Specification

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn\’t match perfectly with this role\’s criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. As part of your application, please submit a full academic CV and list of publications.

Criteria

Essential Or Desirable

Stage(s) assessed at

A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering) or equivalent experience. Experience with ML applications in engineering would be advantageous.