Data Scientist Research Fellow

1 month ago


London, Greater London, United Kingdom UCL Eastman Dental Institute Full time
About the Role

The Research Fellow will develop and validate a machine learning model for Indonesia to predict health costs for various disasters, including earthquakes, tsunamis, and floods. Relevant data will be extracted from longitudinal household surveys for Indonesia. The post holder will work closely with Dr. Rozana Himaz and Dr. Saman Ghaffarian, who will provide guidance and support as required.

The research will contribute to an associated journal article and involve organizing a webinar. This work forms part of the UK-ISPF funded project 'Social Finance for Better Post-Disaster Health (SoFIT)', a two-year collaboration between UCL RDR and the Resilience Development Initiative in Indonesia.

About You

We are seeking a PhD student or post-doc with excellent analytical and quantitative skills. Prior experience with developing machine learning models, analysing household survey data, and a keen interest in interdisciplinary analysis based on techniques in data science, statistics, and/or microeconomics is required.

The post holder should have a track record of high-quality research related to hazard modelling and/or analysing impacts of disasters. Essential skills include the ability to work with packages such as Stata/R, code accurately and methodically, be organised, and communicate clearly in both writing and orally.

Key Responsibilities
  1. Data extraction, cleaning, and preparation using longitudinal household survey data
  2. Developing and validating machine learning models that predict health costs for various hazards and disasters in Indonesia
  3. Meticulous documentation of methods and codes developed
  4. Literature reviews as required
  5. Contribute to writing at least 1 journal article based on the research
  6. Contribute to organizing the SoFIT project webinar with international team
  7. Work in an open and transparent way, developing ideas and analysis collaboratively with other team members including international partners
  8. Contribute to the project communications strategy through policy briefs, presentations at webinars and seminars
What We Offer

As well as the exciting opportunities this role presents, we also offer some great benefits.

  • 41 Days holiday (27 days annual leave, 8 bank holiday and 6 closure days per annum) per annum
  • Additional 5 days' annual leave purchase scheme
  • Defined benefit career average revalued earnings pension scheme (CARE)
  • Cycle to work scheme and season ticket loan
  • Immigration loan
  • Relocation scheme for certain posts
  • On-site gym
  • Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance


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