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Find an advisor

The advisors must be selected among the 4 recruiting universities, AMU, UAM, SUR and ULB. Co-advisors must be selected among the 10 universities listed on the Partner Universities section (recruiting universities + associated universities).

It is not mandatory to select an advisor from this database; this search tool is meant as an assistance to candidates, but you may contact potential advisors from the four recruiting universities who are not on this list. Please visit the research centers links.

Note that for AMU and ULB, only one contact person per research institute is listed, who will assist you in finding a supervisor that matches your research subject. Use the CIVIS3i contact form to request assistance.

When contacting a potential advisor, CIVIS3i recommends that you present yourself, attach your CV including links to your online academic profiles (which should be updated), indicate what is the reason for your contact, the fellowship programme name (mention it is a Horizon 2020 Marie Skłodowska-Curie Actions COFUND programme) and website, your tentative title and an abstract if you have one ready, and why do you think this researcher is the best fit for your project. Add also what is required from the advisor (eg, contribution to the proposal preparation, typical postdoctoral supervision, duties during the fellowship such as progress reports, etc). You may indicate that if this researcher is currently not available to supervise you, you’d be grateful if she/he could recommended colleagues suitable to supervise your research. Kindly ask for a reply and indicate the maximum reply date ("please kindly reply by XXX"). Please translate the email into the language of the country (eg, French if you are contacting a researcher from AMU) and include also the English text at the end of the message.

Vincenzo Patera

Sapienza Università di Roma - Engineering
Scientific area : Physics (PHY) / Life Sciences (LIF)
Expertise : Radiation therapy,Particle accelerators and detectors,Particle physics,experiment monte carlo simulation

Mariano Serrao

Sapienza Università di Roma
Scientific area : Life Sciences (LIF) / Information Science and Engineering (ENG)
Expertise :

Maria Vittoria Corazza

Sapienza Università di Roma - Civil and Industrial Engineering
Scientific area : Information Science and Engineering (ENG) / Life Sciences (LIF)
Expertise : Transportation

Fabio Giulii Capponi

Sapienza Università di Roma - Faculty of Civil and Industrial Engineering
Scientific area : Information Science and Engineering (ENG)
Expertise : Electrical and electronic engineering: semiconductors,components,systems,Energy collection,conversion and storage,renewable energy

Daniele Venturi

Sapienza Università di Roma
Scientific area : Information Science and Engineering (ENG)
Expertise : Complexity and cryptography,electronic security,privacy,biometrics

Daniela Boldini

Sapienza Università di Roma - Civil and Industrial Engineering
Scientific area : Information Science and Engineering (ENG)
Expertise : Environmental engineering and geotechnics geotechnical engineering, tunnelling

Irene Di Palma

Sapienza Università di Roma
Scientific area : Physics (PHY)
Expertise : Gravitational waves,Particle accelerators and detectors,High energy astrophysics,Relativistic astrophysics Acoustics

Davide Bernardini

Sapienza Università di Roma - Engineering
Scientific area : Information Science and Engineering (ENG)
Expertise : Simulation engineering and modelling,Civil engineering,Numerical analysis,simulation,optimisation,modelling tools Bridge engineering, Earthquake engineering, Structural Health Monitoring, Modeling of corrosion in reinforced concrete

Francesca Pitolli

Sapienza Università di Roma - Engineering
Scientific area : Mathematics (MAT) / Information Science and Engineering (ENG)
Expertise : Scientific computing and data processing,Mathematics in Engineering and other Applied Sciences,Numerical analysis and scientific computing Numerical solution of fractional differential problems

Enzo Marinari

Sapienza Università di Roma - Physics Department, Facoltà  di Scienze Matematiche Fisiche e Naturali MFN
Scientific area : Physics (PHY)
Expertise : Statistical physics (gases),Phase transitions,phase equilibria,Statistical mechanics (condensed matter),Computational Physics,Biophysics and biophysical techniques,Complex systems,Networks neural networks