|Salary:||£32,344 to £40,927 per annum. Grade 7|
|Placed On:||13th October 2021|
|Closes:||9th November 2021|
Contract Type: Fixed term until 15 September 2024.
Faculty: Faculty of Engineering
Department: Department of Automatic Control & Systems Engineering
Location: Main campus
Are you interested in working for a world top 100 University?
The University of Sheffield has an exciting research opportunity for someone looking to use their skills in dynamic systems data-driven modelling to make a positive difference to the health and wellbeing of our communities.
We are seeking to appoint a talented and highly motivated Research Associate in dynamic systems modelling to join the SIPHER Consortium – a large new UK public health research initiative which is being established with funding from the UK Prevention Research Partnership (UKPRP). SIPHER seeks to develop innovative research to prevent physical and mental ill health, and tackle persistent health inequalities. It will work across some of the most important social determinants of health: inclusive economic growth; decent and affordable housing; policies that promote mental wellbeing, and mitigating the long-term effects of adverse childhood experiences.
You will have, or be close to completing, a PhD (or equivalent experience) in a topic relevant to data driven dynamic systems modelling (e.g. signal processing, system identification, machine learning, Bayesian modelling), you will have experience of using estimation and identification methods for developing models from data and ideally will have knowledge of statistical signal processing or Bayesian machine learning. You will work in close dialogue with other SIPHER researchers and practice partners, to formulate and solve modelling problems in the context of complex, open systems. Since this role will involve close working with other researchers and practitioners from a range of disciplines and backgrounds, strong listening and communication skills are essential, together with an openness to alternative perspectives and worldviews.
Whilst attached to SIPHER, you will also be joining a highly active and stimulating group of researchers in the Signal and Information Processing Lab in the Department of Automatic Control & Systems Engineering, working on data driven nonlinear and spatio-temporal modeling and estimation methods and their applications across engineering, healthcare and the environment. If you are passionate about using your skills in systems modelling to make a difference to complex problems in the real world then we would love to hear from you.
We are committed to exploring flexible working opportunities which benefit the individual and University.
We are 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 from across the world, 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.
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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