It is my pleasure to let you know that the Complex Data Analytics (http://ict.fbk.eu/complex-data-analytics) at the ICT Research Center of Fondazione Bruno Kessler (FBK) in Trento (Italy) is in the process of starting a novel initiative on Complex Multilayer Networks.
We are calling for a PhD position in Smart Computing (http://smartcomputing.unifi.it/procedures.html) to work at the edge of complex multilayer networks, information theory and machine learning:
Complex Multilayer Networks
The candidate will develop network-oriented dimensionality reduction techniques that will allow large-scale data analysis, with applications to interdependent systems exhibiting the same complexity, including technological, biological and social ones. This will be implemented in a framework able to cope with complex models and data structures, in particular those describing time-varying multilayer systems, e.g., like the human brain or the activity in online social networks, and the analysis of interdependent multilayer networks, a scenario typical in systems biology.
It is worth remarking that, in case of applications from multiple outstanding candidates, opening of additional PhD positions will be considered.
Candidates with a complex network background who are interested in network medicine and deep learning might also consider the following opportunities:
"Deep Learning for Massive Omics Data"
"Deep learning for data integration and reproducibility in autism research"
"Deep learning for massive Data in precision medicine"
In a joint effort with Sharma Lab, we will host for a short/medium period of time the postdoc who will get the currently available position at the Division of Network Medicine at Harvard University:
PhD candidates should have an outstanding academic record and they should have completed a master’s degree by 1 December 2017.
Applications are invited from candidates trained in physics, mathematics, computer science or closely related disciplines, who are willing to pursue a very interdisciplinary research program.
Candidates interested to applications for (network) precision/personalized medicine are warmly invited to apply.
The official language will be English and outstanding applications from abroad will be fully considered.
Optional (but a strong plus):
- Knowledge of R and/or Python language(s) for data analysis
- Good knowledge of statistics, foundations of probability and information theory
- A genuine interest in working in team within an international and very interdisciplinary environment
### Marie Curie and other Fellowships
The group is available to host outstanding young researchers who are willing to spend their fellowship at FBK from 2018.
Please, contact us as soon as possible with a short expression of interest if you are planning a project at the edge of network science and/or machine learning, with applications to precision medicine, systems biology, network neuroscience, computational epidemiology or computational social science.
Applications are due before 10 August 2017. Please, send an updated CV, a cover letter and at least one recommendation letter by email to
Dr Manlio De Domenico ([log in to unmask])
Dr Giuseppe Jurman ([log in to unmask])
Dr Cesare Furlanello ([log in to unmask])
Shortlisted candidates will be invited for an interview and the final decision will be communicated by the end of August. The starting date is January 2018.
Please, do not hesitate to contact us for further details about the projects.
## About FBK and Trento
FBK (https://www.fbk.eu/en/) is a leading research center and, according to the last ANVUR evaluation (the Italian program to monitor the quality of Italian universities and research institutions) it is the best overall in ICT (https://www.fbk.eu/en/result/fbk-ranks-1st-in-italy-for-scientific-excellence-in-three-areas/).
Trento is a lovely and smart city in the Northern of Italy with almost 120,000 inhabitants. The city hosts 16,000 international students and the University of Trento, a top Italian institution in higher education and research.