PhD Scholarship: Network Science, NU London, UK

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State

PhD Scholarship: Network Science: Northeastern University London (NU London) is offering a fully funded PhD scholarship for a project focused on using data and network science approaches to detect food insecurity among patients with chronic health conditions. This interdisciplinary research aims to address health inequalities by integrating social determinants of health (SDOH) with healthcare data. The scholarship covers tuition fees and provides an annual stipend of £21,237, including a London allowance, for 3.5 years.

PhD Scholarship: Using Data and Network Science Approaches for the Detection of Food Insecurity for Patients with Chronic Health Conditions

Summary Table

DesignationFully Funded PhD Scholarship
Research AreaNetwork Science
LocationLondon, UK
EligibilityUK and International Students
Job DescriptionResearch on food insecurity and chronic health conditions using network science and data science
How to ApplySubmit CV and Covering Letter
Last Date to Apply30th June 2024

Designation

Fully Funded PhD Scholarship

Research Area

Network Science

Location

Northeastern University London, UK

Eligibility/Qualification

  • Bachelor’s degree in Complex Systems, Network Science, Data Science, Computational Social Science, Physics, Mathematics, Computer Science, or related subjects (2:1 or 1st class essential).
  • Proficiency in programming languages such as Python, R, SQL, Julia (essential).
  • Fluency in English (spoken and written).
  • Highly collaborative spirit, personal initiative, and interest in interdisciplinary teamwork.
  • Good communication skills and enthusiasm for applied research.
  • Experience in or willingness to learn data visualization techniques.

Job Description

The selected PhD candidate will research the intersection between low-income patient cohorts and chronic metabolic conditions, exploring the social determinants of health and nutrition. The project involves developing a machine learning pipeline to integrate multi-modal data from Electronic Health Records with residence-related SDOH data to classify food insecurity. The research aims to improve healthcare outcomes for vulnerable populations by addressing health inequalities and enhancing healthcare delivery models.

How to Apply

Candidates should send a CV and a Covering Letter explaining how they meet the requirements and why they are interested in the research project. Applications should be submitted by 23:59 on the 30th of June 2024. Please reference your application “PHDCH0524”. Shortlisted candidates will be interviewed in July 2024.

Contact for Informal Inquiries: istvan.kiss@nulondon.ac.uk

Last Date to Apply

30th June 2024


This scholarship provides an excellent opportunity to work in a vibrant, interdisciplinary research environment with international collaboration opportunities. Successful candidates will have access to the resources of the Northeastern University network and will be based at a state-of-the-art campus in London.

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