PhD: Optimising health data in child and adolescent obesity

The outputs of this PhD are expected to significantly impact the delivery and evaluation of healthcare interventions for children and adolescents.

  • Principle investigator(s) Dr Grace O'Malley
  • Research theme Population Health and Health Services

Project description

Obesity is caused by the storage of too much fat tissue in the body. When children become obese they can have difficulties with their physical and mental health including: high blood pressure; painful joints; breathing difficulties; anxiety; and early development of other diseases.

International health research recommends that children with obesity are offered treatment early in their life so that health difficulties can be reduced and future diseases can be avoided. International research also recommends that obesity treatment should be available to children in their community and in children's hospitals.

In order to better understand the impact of treatment it is important that health data is collected, managed, stored and retrieved in the most optimal way. The PhD candidate will design, develop and implement a series of studies addressing the use of clinical obesity registries in paediatrics.

Tenure: Four years

Specification

The candidate should be a motivated individual who is passionate about child health and equality. The successful candidate will need to have good communication skills and work well with a team.

Minimum requirements:

  • Msc/MCh minimum or equivalent health professional qualification.
  • English teaching language requirements are listed here.

Desirable candidate specifications include:

  • Data science training
  • Bioinformatics training
  • Systematic review training and experience
  • Quantitative research methods

Application process

Please apply with an up-to-date CV, a 500-word statement outlining your interest in and suitability for the position, and contact details of two referees to graceomalley@rcsi.com.

Successful candidates will be able to attend a virtual interview if they wish.

Important dates

  • Closing date for applications is June 2021.
  • Shortlisting will take place in July 2021
  • Interviews take place in August 2021
  • The position will begin in October 2021