Research Associate in Statistical Machine Learn

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Research Associate in Statistical Machine Learning for Cardiac Models
University of Sheffield
- Department of Computer Science
Location:
Sheffield
Salary:
£32,344 to £37,467 per annum
Hours:
Full Time
Contract Type:
Fixed-Term/Contract
Placed On:
7th March 2022
Closes:
30th March 2022
Job Ref:
UOS032158
Fixed term until 31 March 2024, with the possibility of an extension until 31 March 2026.
We welcome applications for a postdoctoral Research Associate position in Statistical Machine Learning for Cardiac Models, funded as part of EPSRC grant “In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation”
You will hold (or be close to completion of) a PhD in Computer Science, Engineering, Statistics, or a related area with track record in statistical methods and their application to real-word engineering problems, excellent programming skills and solid mathematics background (or have equivalent experience).
We are a member of the Russell group and in the top-100 worldwide according to the 2020 QS rankings. The Department of Computer Science is a leading research body, being ranked 5th in research excellence out of all UK computer science departments in REF2014, with 92% of its research work was rated either world leading (4*) or internationally excellent (3*) in terms of its originality, significance and rigour.
We are committed to exploring flexible working opportunities which benefit the individual and University.
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 from across the world, whose talent and contributions complement each other to the greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes **MEMBERS ONLY**SIGN UP NOW***. a remarkable place to work, watch this short film: ****, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
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