Research Associate in Autonomous Manufacturing Systems

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

Potential to progress to £42,418 per annum through sustained exceptional contribution.

Contract Type: Fixed-term with a start date as soon as possible, and an end date of 30 June 2019

Are you interested in working for a world top 100 University?

This post will directly support the activities of two high-profile advanced manufacturing research projects in Automatic Control and Systems Engineering (ACSE), in the areas of additive manufacturing as well as friction-based joining and material processing. The overarching research theme is model-based and real-time process monitoring using in-line non-destructive testing methods (such as thermography, back-scatter diffraction, electron imaging). Autonomous computational systems will be developed to estimate part quality in real-time.  Key attributes of the successful applicant would be, the ability to work well within multidisciplinary research teams, and experience in Machine Learning methods for data-driven modelling. The post is aligned to the wider research objectives of the Department in the area of Autonomous Manufacturing Systems.

The successful candidate should hold (or be close to completion) of a PhD in Systems Engineering, Computer Science or a related area (or equivalent experience). 

The successful candidate should also have in-depth knowledge of Computational Intelligence/ Machine Learning systems and methods, in particular those relevant to feature selection/extraction, pattern recognition as well as supervised/ unsupervised learning.  Strong software development skills (for example in MATLAB, LabView, Python, C++), and the ability to plan work effectively to project timescales and produce project deliverables on time 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 for quality of research publications and third for overall research quality. The principal investigator and line manager for this role is Dr George Panoutsos, who is Senior Lecturer in the Department of ACSE and Director of Learning and Teaching.

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.

We build teams of people from different heritages and lifestyles whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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Northern England