Natural and artificial networked systems exhibit a high level of complexity, such as simultaneous relationships or interactions, temporal variations, interdependency.
The Complex Multilayer Networks (CoMuNe) Research Unit develops mathematical models to account for this high level of complexity of networked systems, using higher-order tensors to encode available information and to represent these integrated systems, called multilayer networks. The areas of interest of the Research Unit include, but are not limited to:
- Collective dynamics in complex socio-technical systems
- Human brain networks in neuro-degenerative diseases and psychiatric disorders
- Integration of multi-level/multilayer molecular networks in human diseases
- Social-ecological systems' response to climate change
- Interplay between human mobility, information awareness and epidemics spreading
- Robustness and resilience of empirical complex systems
More information about the CoMuNe Lab is available at https://comunelab.fbk.eu/.
FBK invites applications for a research position in the area of Network Science, in particular in network modeling of human mobility. The candidate must have proven skills in modeling and analysis of empirical networks, recognized scientific experience at international level and significant expertise with network tools and analytical techniques.
The successful candidate will have strong mathematical and statistical bases, and is expected to contribute to the development of novel models and analytical tools to study human dynamics at the edge of Statistical Physics, Applied Mathematics and Computer Science. Large-scale mobility data will be provided by an industrial partner. Experience in:
- modeling of spreading dynamics in (multilayer) networks;
- analysis of massive data sets;
- top international collaborations;
- knowledge of machine learning techniques;
will be a plus.
The candidate is expected to work in team, coordinate junior collaborators, help developing innovative research strongly oriented to applications of societal impact with partner labs, and contribute to scientific dissemination through journal papers and conference talks.
The ideal candidate should have:
- PhD in Physics, Mathematics or Computer Science;
- At least three years international research experience in Network Science;
- A strong publication record;
- Proven experience in major network tools and environment;
- Good knowledge of Linux and scripting skills (e.g. shell, Python);
- Proficiency in spoken and written English;
- Enthusiasm about learning new methods, computing tools & technologies;
- Ability to work both independently and in team;
- Good communication and relational skills.
Type of contract: fixed term contract
Working hours: full time
Gross annual salary: about € 38.100,00
Start date: October 2018
End date: 30th September 2020
Place: Povo, Trento (Italy)
Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation, social security, etc., reductions on bank account opening fees, public transportation, sport, language course fees. More info at https://www.welfarefbk.info/.
Candidates are required to submit their applications by clicking on "Apply online" at the bottom of this page.
Please make sure that your application includes the following attachments (pdf format):
· detailed CV and list of relevant scientific publications,
· letter of motivation,
· two references (e-mails and phone numbers)
Application deadline: 31st July, 2018
Please read the Guidelines for selections before applying.
For further information, please contact the Human Resources Services at email@example.com or dr. Manlio De Domenico by email at firstname.lastname@example.org,