Research Associate in Multi-scale Modelling

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

Contract Type: Fixed-term with an end date of 31 May 2019

The Research Associate position is an exciting opportunity for developing novel multi-scale modeling and estimation methods and applying these to a case study in musculo-skeletal systems. This research is part of a wider initiative under a EPSRC funded flagship multi-disciplinary project called MultiSim. The project aims to develop multi-scale modeling and simulation methodologies, towards developing improved treatments for diseases of the musculoskeletal system. One of the challenges in this dynamic role is the ability to integrate models with data using estimation methods. You will use your signal processing and control expertise to support the project towards the delivery of the aims and objectives.

The project consortium is formed of researchers from three Departments of the University of Sheffield, namely the Automatic Control and Systems Engineering, Mechanical Engineering and Oncology and Metabolism. You will join an internationally reputed research consortium and will be based in the Department of Automatic Control and Systems Engineering (ACSE). The Department is one of the largest departments devoted to the subject in Europe, with 28 academic staff, 43 research staff, 29 professional and support staff and nearly 400 taught and research students. 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, with 98.5% of our publications assessed as either world-leading (41%) or internationally excellent in terms of their originality, significance and rigour;
  • Third for overall research quality with 96% of our research being assessed as world-leading (44%) or internationally excellent.

You should hold a PhD (or be close to completion) in signal processing, control or a related discipline such as electrical engineering or computer science. You will have knowledge of stochastic estimation methods, Kalman filtering, and will have applied these to life science and healthcare applications. Good programming and overall IT skills are also expected. A strong mathematical ability, sound theoretical knowledge in estimation coupled with experience in algorithm implementation and testing will be essential for this position.

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.

Follow @sheffielduni and @ShefUniJobs on Twitter for more information about what makes the University of Sheffield a remarkable place to work.

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Northern England