The Foundation is looking for a proactive and dynamic candidate, with good organizational, relational skills and an inclination for team-work, strongly motivated to work on innovative theoretical and data-oriented projects related to the dynamics on complex netwoks.
We offer a training opportunity that lends itself at the interface between Complexity Science and Complex Netwok Theory. The candidate will develop analytical and computational techniques to study cutting-edge problems dealing with dynamical processes that occur on top of networked systems, such as epidemic spreading or cascading failures. The overarching goal of the internship is not to reproduce data but understanding it through a modeling scheme: we first pose a well defined question, to then propose a model with isolated mechanisms that determine emergent consequences at the collective level, from which we can establish cause-effect relations.
- Strong mathematical background, at the level of e.g. Physics, Math, Data Science, Computer Science, etc.
- Good knowledge of at least one programming language, e.g., C/C++, Fortran, Python, R, Julia, etc.;
- Good knowledge of written and spoken English.
- Curricular internship (no allowance);
- 3-6 months, depending on candidate’s needs and preparation;
- Support for the search for accommodation at the affiliated structures.
The internship may be useful to complete the master thesis.
All interested parties are requested to fill in the online form, clicking on "Apply online", and attach the required documents in Pdfs format:
- Curriculum Vitae;
- Cover letter.
Applications will be reviewed as they arrive. Preferred starting period: before summer 2022.
For any information, contact Oriol Artime (email@example.com).
For any support, further clarification and/or information, the Human Resources Department will remain available via the address: firstname.lastname@example.org