EDIT: the position has been filled!

We currently offer a postdoc or research engineer position in the areas of Network Science, Data Science, Science of Science, Computational Social Science and Social Network Analysis, to be filled immediately.

The applicant will join our team at the CRI to work on interdisciplinary projects related to the quantification of innovation and collaborative dynamics in Science and Technology using large scale datasets and physics-inspired approaches. Relevant projects can be found on the project page, sections “Team science”, “Science of science” and “Collaborative learning”. An overview of the lab projects can also be found on our poster.

Duration: 1+1 years

– experience with mining, cleaning and working on large data sets
– proficiency in R (preferably) or Python (Pandas library)
– network analysis and visualization
– statistical analyses (model fitting and testing)
– you are curious, motivated and you enjoy working in a dynamic team environment!

Relevant backgrounds:
– physics
– computer science
– network science
– computational social sciences
– data science

Position is available right now. Postdoc income is commensurate to post-PhD experience, and follows the standard grid (gross monthly income in euros):

less than 3 years exp 2882,16
3 to 5 exp 3229,67
5 to 7 exp 3606,00
7 to 10 exp 4088,81
+10 exp 4330,14

Interested candidates should submit a formal application to consisting of (i) a current CV with past experience and programming skills highlighted (preferably with link to Github or equivalent), (ii) a brief statement of research experience and interests (max. 2 pages) and (iii) the contact information of up to two references (e-mail or phone number) with some context information (relationship to applicant). Do not hesitate to contact me 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.


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:

The view from the CRI rooftop in the center of Paris!