The Institute of Global Health (https://www.unige.ch/medecine/isg/en/) is a lively
research institute, with a strong commitment to further develop its strengths in the field
of precision global health.
The unique position at the Campus Biotech in Geneva
(https://www.campusbiotech.ch/en) enables the development of strong links with
international organizations (such as the World Health Organization, the Global Fund,
GAVI or FIND); other research groups (e.g. from EPFL, CERN or the University Hospital of
Geneva) and start-up companies.
The lake of Geneva and its surrounding parks are located just across the street;
and outdoor fans will love the close-by mountains.
The successful candidate will work in the division of infectious diseases and
mathematical modeling led by Prof Olivia Keiser.
Research area and responsibilities:
The aim of our research group is to get a better understanding of the "human factors" that
contribute to the spread of infectious diseases. We are looking for an innovative data
scientist who will lead their own research, while also contributing to other projects in the
team.
The successful candidate will work in an interdisciplinary team of scientists and will
• develop and apply novel methods at the interface of quantitative and qualitative
global health
• lead the design, development, and application of software for data mining and
data visualization
• collaborate with scientists and various stakeholder of International Geneva
• provide documentation and training of software
• write high-level scientific publications in English
• participate in international conferences
Required Qualifications
• Master or PhD degree in physics; computer science; statistics; mathematics or
similar quantitative area.
• Interest in applied research in the field of Global Health.
• Particular areas of expertise include, but are not limited to any of the following:
network analysis; text mining; artificial intelligence; deep learning;
mathematical modeling; phylogenetic analyses; spatial, multivariate and
Bayesian statistics; quantitative social science; analysis of social media data.
• Very good programming skills (in e.g. Python, MATLAB, C/C++, Java, R, Stata).
• Ability to self-direct new research paths and propose new ideas.
• Excellent oral and written communication skills in English.
The appointment is available from 1 June 2018 (or as soon as possible), for 1.5
years initially. For further information please contact Prof. Olivia Keiser
olivia.keiser@unige.ch.
Please send your application (incl. CV, cover letter and
references) to: olivia.keiser@unige.ch by April 15 2018.