Supporting Primary and Community Health Practices Using Hybrid Simulation and Analytics

Applications are invited to join an exciting project on hybrid modelling & simulation to support health services. (fully funded by NIHR: Applied Research Collaboration Kent, Surrey, and Sussex). This doctoral project aims at developing hybrid simulation models of real-life GP consultations to help healthcare systems recover from the impact of the pandemic by reviewing alternative decisions. Successful candidates will benefit from already established links to key healthcare networks.

Start date

1 July 2023

Duration

3 years

Application deadline

Funding source

Doctoral College, University of Surrey

Funding information

  • Full Overseas and UK tuition fees covered
  • Stipend at £17,668 p.a. (2023/24)
  • RTSG of £1,000 p.a.
  • Personal Computer (provided by the department).

About

The advent of Covid-19 has shaken the whole world to its core. Dedicating effort and resources to tackling the pandemic led to more pressure on primary and community health services leading to straining long-term conditions and health resources.

Given the interconnectedness of the primary and community health services, in terms of system ownerships and multiplicity of decisions analytics, hybrid simulation (HS), which connects systems’ models at micro, meso, and macro levels of the healthcare system, is a viable means for supporting decision makers. The purpose of HS is to assess the potential impacts of proposed ideas over time in simulated environments prior implementation.

This research aims at developing HS models of real-life GP consultations to help them recover from the impact of the pandemic. The main steps in the doctoral research are:

  1. Review of uses of models and shortcomings
  2. Review of available tools and scenarios
  3. Review available similar models
  4. Develop a HS model of the problem.

We are looking for a PhD candidate with a strong interest in operational research, modelling and simulation, data analytics, or computing in healthcare management to join an eclectic team in analytics and healthcare to fulfil the above project.

Eligibility criteria

Open to UK students and overseas students.

The ideal candidate will hold an MSc degree in a relevant subject.

English language requirements

IELTS Academic: 6.5 overall with 6.0 in each band.

How to apply

All applicants are required to follow our online application process.

The application deadline is 28 February 2023. Shortlisted candidates will be invited to interview, which can be via Skype.

Please submit the following documents:

  • Curriculum Vitae (CV)
  • Evidence of English language proficiency (if English is not the first language)
  • Research proposal (two pages, based on PhD work description above)
  • Scanned passport copy
  • Scanned copies of signed/stamped qualifications/certificates or transcripts) to show how you meet (or expect to meet) the entry requirements
  • Contact details of two referees.

Application deadline

Contact details

Masoud Fakhimi
47 MS 02
Telephone: +44 (0)1483 686380
E-mail: masoud.fakhimi@surrey.ac.uk
Carin Magnusson
Telephone: +44 (0)1483 684552
E-mail: c.magnusson@surrey.ac.uk
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