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Phd Scholarships

Gran Sasso Science Institute

  • Italy
  • €Attractive
  • Academic - PhD/MSc
  • Closing date 11 Jun 2020

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The GSSI – Gran Sasso Science Institute, based in L’Aquila (Italy), offers 30 PhD scholarships in the following fields:
•      “Astroparticle Physics” (8 scholarships)
•      “Mathematics in Natural, Social and Life Sciences” (8 scholarships)
•      “Computer Science” (7 scholarships)
•      “Regional Science and Economic Geography” (7 scholarships)

The official language of the PhD programmes is English. The fellowships are awarded for 4 years and their yearly amount is € 16,159.91 gross. All PhD students have free accommodation at the GSSI facilities and use of the canteen.

The application must be submitted through the online form available at www.gssi.it/phd/ by 11 June 2020, 5 pm (Italian time zone).

For more information, please consult the Call for Applications at www.gssi.it/phd/, write an email to applications@gssi.it or call +39 0862 4280433.

UNIVERSITY PROFILE
 
The GSSI – Gran Sasso Science Institute is an international PhD school and a center for research and higher education in the areas of Physics, Mathematics, Computer Science and Social Sciences. It was founded in 2012 in L’Aquila (Italy) as a Center for Advanced Studies of the INFN – National Institute for Nuclear Physics and then established in March 2016 as a School of Advanced Studies providing post-graduate education. Through a day-to-day collaboration and interaction, researchers and students have the opportunity to build a sound knowledge of the research methods and to experiment contamination of interests, innovative approaches and multicultural exchanges in all the GSSI activities. In addressing the complexity of today’s world, we are committed to removing all barriers between the GSSI areas of study and research, where interdisciplinarity and cross-fertilization underlie everything we do. Among our goals are the dissemination of scientific results towards society and the promotion of cultural events for generic public, citizens and schools.
 
MORE DETAILS ON THE 4 PhD PROGRAMMES
 
The GSSI – Gran Sasso Science Institute, based in L’Aquila (Italy), offers 30 PhD scholarships in the following fields:
 
• Astroparticle Physics (8 scholarships)
-       7 scholarships;
-       1 scholarship for the research project “Development of an high precision Time Projection Chamber with optical readout for directional Dark Matter searches”. The position is supported under the Grant Agreement n. 818744 (Call: ERC-2018-COG) “INITIUM – an Innovative Negative Ion Time projection chamber for Underground dark Matter searches” of the Horizon 2020 Framework Program. The student will perform data taking and data analysis, simulations and development of prototypes capable of measuring the direction of particle tracks, in the context of the INITIUM project. The student will take part in the installation, commissioning and data collection activities of a 1 m3 detector based on these principles in the Gran Sasso underground laboratories.
 
It is possible to apply both for INITIUM Project and for GSSI scholarships, by submitting two different applications.
The research and PhD in physics at the GSSI is focused on astroparticle physics. Astroparticle physics is an interdisciplinary and young research field, grown at the intersection of particle physics, nuclear physics, astrophysics and cosmology. It addresses some of the most pressing and fundamental questions in science today: the origin and the evolution of our universe, the nature of dark matter and dark energy, the study of neutrinos and of the ultimate constituents of matter, the search for gravitational waves, the investigation and explanation of the cosmic rays.
 
• Mathematics in Natural, Social and Life Sciences (8 scholarships)
-       6 scholarships;
-       2 scholarships for the research project "GrowBot – Towards a new generation of plant-inspired growing artefacts". The positions are half supported under the Grant Agreement n. 824074 (Call: FETPROACT-2018-2020) of the Horizon 2020 Framework Program. The project is directed by Prof. Pierangelo Marcati and will address the following research topics: mathematical models for the growth and movement of climbing plants, and their relationship with experimental data existing in the literature. Control problems originating from bio-inspired robotics. The main mathematical techniques are related to Numerical linear algebra, scientific computing, network analysis and machine learning and their applications to plant biology. Deterministic and Stochastic Models for Plant Communications and Interactions.
 
It is possible to apply both for GrowBot Project and for GSSI scholarships, by submitting two different applications.
Within the PhD course in Mathematics in Natural, Social and Life Sciences a priority has been established on mathematical modeling, both towards the traditional areas of application, such as Physics or Engineering, and towards emerging issues in Biology and in the Social Sciences. An emphasis will be given also to numerical methods, high-performance computing techniques, stochastic analysis and partial-differential-equation methods, in particular those related to fluid dynamics and quantum physics. Numerical and stochastic methods for mathematical models in seismology will be of special interest.
 
Computer Science (7 scholarships)
The PhD program in Computer Science of the GSSI aims to provide students with the main results, theories, techniques and methodologies regarding algorithms, models, languages, software and services to cope successfully with the challenges of the present and future Information and Communication Technology.
 
• Regional Science and Economic Geography (7 scholarships)
The aim of the PhD in Regional Science and Economic Geography is to address issues related to territorial development, with particular reference to internal and peripheral areas and intermediate cities, focusing on the role of human, cultural and environmental capital in the trajectories of development and growth. The methodological perspective in research and teaching is multidisciplinary in nature, with a combination of approaches relating to the economy of the territory, regional sciences, economic and human geography.


 

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Gran Sasso Science Institute

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