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Research Associate in Machine Learning and Process Control for Advanced Manufacturing

University of Sheffield - Faculty of Engineering - Department of Automatic Control and Systems Engineering

Location: Sheffield
Salary: £32,344 to £40,927 per annum Potential to progress to £42,149 per annum through sustained exceptional contribution (Grade 7)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 28th September 2021
Closes: 22nd October 2021
Job Ref: UOS030228
 

Contract type: Fixed-term for 3 years, start date as soon as possible

Are you interested in working for a world top 100 University? We have an exciting opportunity in the Department of Automatic Control and Systems Engineering (ACSE) for someone with a passion for cutting-edge research looking to use their skills in Machine Learning and Control Theory to make an impact on a high-profile research project related to autonomous manufacturing systems.

This post will directly support the activities of a high-profile UK EPSRC advanced manufacturing research project in ACSE in advanced materials and manufacturing, in collaboration with The University of Cambridge and University of Huddersfield. The underpinning research theme is Machine Learning (ML) and Control Theory, with application to autonomous manufacturing systems. We are looking to create the next generation of process control and optimisation tools for materials manufacturing using data-driven ML and control methods.

The successful candidate should hold (or be close to completion) of a PhD in Systems Engineering, Computer Science, Control Theory or a related area (or equivalent experience). In-depth understanding and experience of Control Theory and a range of Machine Learning methods for data-driven modelling as well as for process control and optimisation are essential.

Automatic Control and Systems Engineering (ACSE) is one of the largest departments devoted to the subject in Europe. We are a world-leading research department, as evidenced by the results of the 2014 Research Excellence Framework (REF2014) exercise - out of 62 UK institutions specialising in multi-disciplinary and inter-disciplinary engineering, the department was ranked first in the UK for quality of research publications and third for overall research quality. The principal investigator and line manager for this role, Professor George Panoutsos holds a personal Chair (Computational Intelligence) and is currently the Director for Research and Innovation for the Faculty of Engineering. Together with Dr Anthony Rossiter (expertise in Control Theory), we will provide you with strong academic support, mentorship and further opportunities for training and career development.

www.sheffield.ac.uk/acse

This research role is central to a number of key advanced manufacturing research projects in the Department, hence providing the successful applicant an ideal opportunity to engage with multidisciplinary teams, achieve significant research impact, dissemination and publications, as well as innovation via interaction with global industry partners. The successful applicant will have the opportunity to receive further training and work closely with world-leading researchers, with great potential to strengthen an academic career pathway.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.

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