Jobs

We are currently proposing internships in the areas of Network Science, Science of Science, Computational Social Science and Social Network Analysis. You can find below the related announcements.

Interested candidates should submit a formal application consisting of (i) a current CV with previous internships, courses taken, programming skills highlighted and (ii) a brief statement of research experience and interests (max. 2 pages) to: marc.santolini@cri-paris.org. Do not hesitate to contact for further questions as well!

We believe in community diversity as a driving force of excellence. Therefore, we strongly encourage members of underrepresented groups to apply.

Development of a smartphone application to reconstruct social networks

We are looking for an intern to work on the development of a smartphone application to measure the social interactions of scientific teams working in the lab using bluetooth as a proximity sensor. The collected data will lead to insights on team work and team performance in a scientific context. More information on the project can be found here.

Duration: 3 months or longer

Skills:
– experience with development of smartphone applications (Android Java and Objective-C)
– proficient in Javascript (Angular, ReactJS, Ionic), HTML5 and CSS for user interface through Cordova
– enjoy working in a team environment

Relevant background:
– computer science
– data science
– linux environment for server deployment and maintenance
– database administration

Data analysis in network science and science of science

We are looking for interns to work on data mining, analysis and visualisation in projects at the intersection of Network Science, Science of Science, Computational Social Science and Social Network Analysis. Relevant projects can be found on the project page, sections “The social network of learners”, “The rise and fall of scientific fields” and “Large scale analysis of team success in the iGEM competition”.

Duration: 3 months or longer

Skills:
– experience with working on large data sets
– proficient in R (preferably) or Python (Pandas library)
– statistical testing
– enjoy working in a team environment

Relevant background:
– physics
– computer science
– computational social sciences
– data science

ABOUT THE CRI

The Center for Research and Interdisciplinarity (CRI) experiments and spreads new ways of learning, teaching, conducting research and mobilizing collective intelligence in life, learning and digital sciences. The core mission of the CRI is to transform the way to research and acquire, share and co-create knowledge across the life, learning, and digital sciences. We are building a research collaboratory – up to 60 scientists, postdocs, PhD/master students working closely together on diverse but mutually complementary range of topics. We are guided by UN Sustainable Development Goals towards high-impact work on specific topic combining biomedicine, natural sciences, education, and digital transformation.

More info: https://research.cri-paris.org.