WE SEARCH FOR
Are you ready for an intensive immersion into how complexity science can be applied to real-world questions? Do you want to integrate complexity science into your research? Join the Complexity Science Hub’s annual Winter School to learn collaboratively with a global cohort of early-career researchers.
Winter School 2025 will take place at the campus of the Complexity Science Hub, in Vienna, Austria, from 24-28 February, 2025, with a welcome dinner on 23 February.
YOUR PROFILE
The Winter School is aimed at graduate students, postdoctoral fellows, early-career faculty, and research professionals. Interested participants from government, NGOs, industry, or other sectors may also find the program of interest.
Applicants should have Masters-level coursework in quantitative discipline (social, natural or information sciences, mathematics, engineering) and/or practical experience working in a quantitative domain related to the project theme.
The program is conducted entirely in English, and participants are expected to have working proficiency.
WE OFFER
The Winter School comprises three core elements:
- lectures by the faculty
- formal and informal discussions among faculty and students
- group projects and presentations by students
The Winter School is an intensive, residential experience and should be considered a full-time commitment. Students and faculty will share meals, and there may be evening events. Scheduled free time will be included so that students can explore the Winter School location with fellow participants and/or to continue informal discussions and collaborations.
APPLICATION
Applications for Winter School 2025 are due 01 December 2024 (midnight Vienna local time).
Aplicants will submit:
(1) curriculum vitae or resume
(2) letter of motivation describing their interest in the particular theme of the program and how it intersects with their current work
Candidates will be notified of their application status in early January.
About us
The Complexity Science Hub (CSH) is Europe’s research center for the study of complex systems. We derive meaning from data from a range of disciplines – economics, medicine, ecology, and the social sciences – as a basis for actionable solutions for a better world. Established in 2015, we have grown to over 70 researchers, driven by the increasing demand to gain a genuine understanding of the networks that underlie society, from healthcare to supply chains. Through our complexity science approaches linking physics, mathematics, and computational modeling with data and network science, we develop the capacity to address today’s and tomorrow’s challenges.
