Top PhD Programs in L'Aquila Italy 2019

The International Ph.D. in Management is divided into two different curricula: "Innovation, Sustainability, and Healthcare" and "Change and Complexity Management".

The Ph.D. Program in “Urban Studies and Regional Science” is unique in the world. It is a multidisciplinary program meant for students from different backgrounds including applied economists, economic geographers, urban planners, and sociologists. Our main research themes include migration (both voluntary and forced), regional resilience (both in peripheral areas and cities), knowledge (innovation, human capital, creativity, entrepreneurship) and the informal economy. The methodological approach spans from more qualitative (case studies) techniques to more quantitative (econometric-based) ones. We have internship programs with the OECD and the European Commission and several collaborations with foreign universities (including an Erasmus+ program with the London School of Economics). Our students are fully funded and we provide them with accommodation and meal vouchers.

The main aim of the curriculum in Astroparticle Physics is to provide the entrance points and the scientific and cultural tools to participate successfully to the researches in particle physics, nuclear physics, and astrophysics, high energy astrophysics, gravitation, and cosmology. A special attention will be given to experimental and phenomenological aspects. Moreover, the Ph.D. student in Astroparticle Physics at GSSI will have a special opportunity to follow and participate to the research conducted at the Gran Sasso National Laboratories (LNGS), with its wide community of scientists from all over the world.

The PhD curriculum in Mathematics of Natural, Social and Life Sciences at Gran Sasso Science Institute will lead the students to deal not only with the more traditional aspects of this discipline, such as Pure Mathematics, Partial Differential Equations and Mathematical Physics, but also with entirely new problems, requiring the development of the most appropriate tools to deal with the complexity, such as stochastic analysis and computational mathematics.

The principled development of modern computing systems involves the modeling and management of the interactions between discrete and continuous phenomena, coping with heterogeneous networks efficiently and sustainably, the possibility to access potentially unlimited hardware and software resources, handling of uncertainty, and the need to elaborate in real time massive amounts of data. It is our tenet that meeting these challenges requires one to develop a multidisciplinary knowledge that must be founded on firm modeling and reasoning capabilities. Therefore, the main aim of our Ph.D. studies is to provide students with the opportunity to develop those capabilities and to apply them to research challenges in Computer Science. To this end, we offer our graduate students introductory courses that provide the necessary formal background and specialized courses that introduce students to the newest developments in the areas of Reactive Systems, Software Engineering, and Algorithmic Aspects of Computer and Social Networks.