2016/17 PhD program at IMT School for Advanced Studies Lucca
Applications are now being accepted for scholarships for the Computer Science and Systems Engineering (CSSE) curriculum within the 2016/17 PhD program at the IMT School for Advanced Studies Lucca (www.imtlucca.it), one of the five Schools of Excellence in Italy. Perspective students should preferably have a master-level background in computer science, engineering, physics, mathematics, statistics, or in a related field.
The CSSE curriculum provides the doctoral student with a solid interdisciplinary background to analyze cyber-physical systems and provide solutions to a huge variety of complex engineering problems. The program of studies is based on a set of common courses, covering the fundamentals of numerical linear algebra and numerical methods for differential equations, computer programming, dynamical systems and control, numerical optimization, stochastic processes, and machine learning. These basic courses are followed by a number of advanced courses and research seminars related to the different areas of specialization for the PhD work that can be chosen by the student:
research in computer science, carried out within the SysMA unit, deals with the development of languages and techniques for the analysis and verification of modern concurrent and distributed systems. Specific areas of expertise are concurrency theory, programming languages, and software engineering, with a wide range of applications such as adaptive systems, cyber-physical systems, cloud computing, computational biology, fault-tolerant systems, security, and transportation networks; research in control systems, carried out within the DYSCO unit, is oriented towards optimization algorithms for model predictive control and systems identification of dynamical systems and for machine learning, with an emphasis on real-time embedded optimization algorithms and on their application in industrial problems arising from the automotive, aerospace, and smart-grid domains; research in computational mechanics, carried out within the MUSAM unit, is concerned with the development of innovative computational methods to study advanced problems of solid mechanics, fluid mechanics, and cutting-edge problems involving multiple fields and length scales of high interest in both the academic and industrial sectors.Courses are led by world-renowned academics and provide students with all the theoretical skills and advanced tools required for rigorously tackling a multitude of analysis and design problems. Faculty members and researchers create a network that provides close guidance and support throughout the PhD Program, enabling students to reach the highest levels of scholarly achievement. PhD graduates will be able to use the skills they acquired during their studies to recognize and resolve complex problems in a broad area of application domains and across computer science, systems engineering, and applied mathematics.
All students are based in the recently restored San Francesco complex, a fully integrated Campus in the historical center of the beautiful Tuscan city of Lucca. The Campus includes renewed residential facilities, an on-site canteen, study and living rooms, a state-of-the-art library and outdoor recreational spaces, which foster a unique cultural, professional and social environment for our doctoral program. Eligible students, in addition to free room and board, will also receive a research scholarship which amounts to approximately €13,600/year. Additional funding for research stages also will be provided.
The PhD program at the IMT School attracts students from around the world, providing a truly international environment. English is the official language of the School. Moreover, all students will have the opportunity to spend periods abroad at research institutes, laboratories or universities, both within the Erasmus+ framework and through ad hoc mobility agreements.
Most IMT School PhD Graduates have reached prominent roles in academics, governmental institutions, public and private companies or professions across the globe.
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Requeriments :
- Doctorate Degree
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- Master's Degree in Engineering
Skills :
Areas :
Additional Info:
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