08/03/2021

Post-Doc on Machine Learning for COVID-19 pandemic analysis

This job offer has expired


  • ORGANISATION/COMPANY
    Institute of Image-Guided Surgery of Strasbourg
  • RESEARCH FIELD
    Biological sciences
    Computer science
    Mathematics
    Physics
  • RESEARCHER PROFILE
    Recognised Researcher (R2)
    Established Researcher (R3)
  • APPLICATION DEADLINE
    20/05/2021 23:00 - Europe/Brussels
  • LOCATION
    France › Strasbourg
  • TYPE OF CONTRACT
    To be defined
  • JOB STATUS
    Negotiable
  • HOURS PER WEEK
    40

OFFER DESCRIPTION

  • Keywords: Machine Learning on Graphs, Geographic Information Systems, COVID-19
  • Profile: Doctoral degree in ML for Graphs or a related topic
  • Institute: IHU Strasbourg
  • Location: Strasbourg, France
  • Supervisor: Dr Georgios Exarchakis
  • Application Deadline: Until filled

We offer a post-doc position attached to the CAMMA team at IHU Strasbourg for motivated researchers interested in developing state-of-the-art Machine Learning algorithms for monitoring the COVID-19 pandemic. The Institute provides a multi-disciplinary environment where clinicians collaborate with engineers to provide real-world medical solutions. The intended project considers managing geographic data, at a neighborhood level resolution, in Graph format to identify regions of interest in the COVID-19 spread patterns. An analysis of the dynamics of the spread will also be considered to provide insights on the evolution of the pandemic. The post-doc will be expected to perform data sanity checks, to design and apply a bottom-up Machine Learning analysis for the geographic structure of the pandemic, and to apply state of the art Deep Learning algorithms for the analysis and prediction of the evolution of the pandemic.

An ideal applicant will have a strong background in Machine Learning with a particular emphasis on Graph based algorithms. Experience with Geographic Information Systems will also be highly considered. Experience in the Python programming language with at least one of the popular ML libraries, e.g. Pytorch, TensorFlow. The successful candidate is expected to have high quality publications in leading journals in their field.

Working conditions and remuneration are negotiable and will depend on the profile of the candidate. The project will be supervised by Dr. Georgios Exarchakis in close collaboration with Prof. Benoît Gallix, and Prof. Nicolas Padoy.

For further information on the application please contact Dr Georgios Exarchakis at georgios.exarchakis@ihu-strasbourg.eu with “COVID-19 Post-Doc” as the email title. For applications, please provide your CV, copies of your academic degrees, and a cover letter detailing your interest in the position.

More Information

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Other: PhD or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

  • The successful candidate is expected to have high quality publications in leading journals in their field.
  • Experience applying Machine Learning techniques to  Health Sciences
  • Experience applying Machine Learning techniques on  Graphs.
  • Experience in the Python programming language with at least one of the popular ML libraries, e.g. Pytorch, TensorFlow.
  • Experience with Geographic Information Systems will also be highly considered.
  • Demonstrated ability to work independently, e.g. through single author publications,.

Work location(s)
1 position(s) available at
Institute of Image-Guided Surgery of Strasbourg
France
Strasbourg
67091 Strasbourg Cedex
1, place de l’Hôpital

EURAXESS offer ID: 612604

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