[Ieee_vis_open_positions] Two fully funded PhD scholarships at the giCentre on "visualisation for population health management" - UK candidates

[Elshehaly, Mai]

Dear all,

(with apologies for cross-posting)

We are inviting applicants for two fully funded PhD scholarships in data visualisation for population health.

The projects aim to innovate new visualisation techniques to support decision-making that improves the life chances of young people.

Based at the reputable giCentre (https://www.gicentre.net/), the doctoral students will benefit from a highly dynamic research environment with a community of researchers from City, University of London and will work closely with population health experts and stakeholders at the purpose-built Wolfson Centre for Applied Health Research (https://wolfsoncahr.uk/). This highly collaborative working environment supports real-world, interdisciplinary research that improves the health and wellbeing of underrepresented communities.


The first project has a machine learning / visual analytics focus and will look into ways to facilitate the communication between public health decision makers and data-driven insight: https://www.jobs.ac.uk/job/DCN363/phd-in-visualisation-developing-and-visualising-a-retrieval-augmented-deep-learning-model-for-population-health



The second opportunity focuses on the storytelling power of visualisation and aims to design novel techniques that inform and empower communities of health service users to have a voice in designing better systems to maintain their health: https://www.jobs.ac.uk/job/DCN354/phd-in-visualisation-design-and-development-of-embedded-dashboards-for-routine-data-to-support-decision-making


Start date: Available to start from February 2024.

Duration: The scholarships run for 3.5 years.

 In addition to project-specific requirements (please refer to the links above), the successful candidates will be able to provide evidence of the following competences:

  *   Strong written and oral communication skills
  *   MSc degree in Computer Science or a closely related field
  *   Research experience in one or more of the following fields: Human-computer interaction, visualisation, machine learning, population health.
  *   Excellent software engineering skills
  *   Ability to work in an interdisciplinary team

To enquire about these opportunities, please contact Dr Mai Elshehaly (Mai.Elshehaly at city.ac.uk<mailto:Mai.Elshehaly at city.ac.uk> ) or Prof. Jo Wood ( J.D.Wood at city.ac.uk<mailto:J.D.Wood at city.ac.uk>).



NB: Due to funder regulations, these opportunities are for UK "Home" candidates only.


Best wishes,
Mai


[City, University of London logo]
Mai Elshehaly, PhD, FHEA
Lecturer in Visualisation,
Department of Computer Science
City, University of London
Northampton Square
London EC1V 0HB
https://bit.ly/MaiElshehaly

Personal webpage: http://invisai.com/mai


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