Data Scientist for Statistical Uncertainty Quantification

2 weeks ago


Nottingham, Nottingham, United Kingdom Scholarshipdb Full time
Scholarshipdb is seeking a talented researcher to join our team at Imperial College and the University of Sheffield. We are part of a 5-year ESPRC funded project that aims to revolutionise healthcare using digital twin technology.

The project focuses on developing Bayesian methods for real-time model creation and updates using clinical data. As a researcher, you will work with other institutions to create a complete workflow from data collection to predictions for the clinic.

This role offers an opportunity to work on cutting-edge machine learning methodology with real-world impact. You will be able to carry out duties to the highest standard and to evidence how through your experience you will:
  • Undertake original research of international excellence.
  • Develop research objectives and proposals for own and/or collaborative research area.
  • Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international conferences, workshops and meetings resulting in successful research outputs.
  • Identify opportunities and assist in writing bids for research grant applications.


We are looking for a confident, organised researcher who can evidence:
  • A PhD, or equivalent in statistics, machine learning, or applied mathematics, or who is near to completion of a PhD.
  • Expert knowledge of statistical methods.
  • Excellent communication and organisational skills.
  • The ability to work independently and as part of a multidisciplinary and multicultural team.
  • Networking, actively engaging with and valuing other areas and diverse groups.


This full-time post is available from October 2024 and will be offered on a fixed-term contract for a period of 36 months. There is a possibility of an extension, subject to funding. Job share arrangements may be considered.

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