Applications are now being accepted for the 2020/21 PhD Programs at the IMT School for Advanced Stu- dies Lucca (www.imtlucca.it), one of the six Schools of Excellence in Italy and one of the highest rated graduate schools in Europe according to the most recent U-Multirank survey. Highly motivated candidates from all disciplines are invited to apply for one of the 33 fully-funded positions. The 32 scholarships are equally divided between the two doctoral Programs that integrate scientific competences of economics, engineering, computer science, neu- roscience and behavioral psychology, physics, applied mathematics, statistics, history and sciences of cultural heri- tage. One additional “Marie Skłodowska-Curie Innovative Training Networks” research grant will be available for the PhD Program in “Systems Science”, track in “Computer Science and Systems Engineering” for the project Multi-field and multi-scale modeling of fracture for renewable energy applications.
One of the four field-specific tracks is Cognitive, Computational and Social Neurosciences, which is under the “Cognitive and Cultural Systems” PhD Program. This research-based, multidisciplinary track focuses on cogniti- ve, computational and social neurosciences, and integrates basic neuroscience methods, including molecular bio- logy and genetics, with traditional experimental psychology and cognitive neuroscience. Students will attend multi- ple courses, including fundamentals in cognitive psychology, behavioral and social neuroscience, neuropsychology, psychophysiology, neuroethics, neural basis of perception, neural basis of consciousness, philosophy of science, critical thinking, structural and functional neuroimaging, and basic/advanced methods for data analysis. In particu- lar, the CCSN track is designed to train researchers who will contribute to knowledge in (multi)disciplinary areas such as multisensory perception, supramodality and cross-modality; sleep and consciousness; action recognition and motor control; neuroplasticity and learning; organization of semantic concepts; neurolinguistics; social and antisocial behavior; decision-making processes in economics and financial environments; aesthetic perception. Du- ring their doctoral studies, students are encouraged to carry out their research with the School’s Research Units. For conducting their experimental activities, students can rely on both in-house and outsourcing facilities. The IMT School has a Cyberphysics Lab equipped for behavioral, psychophysics and EEG (64 and 256 channels amplifiers) research. Functional and structural MRI studies can be conducted at any of the partner MRI scanner sites in Pisa (1.5 and 7 Tesla) and Massa (3 Tesla); EEG and fMRI acquisition could be combined.
Courses are led by world-renowned researchers and provide students with all the theoretical skills and advanced tools required for rigorously tackling a multitude of analysis, design and management problems within the broad framework of systems analysis in economic, social, scientific, technological and cultural domains. Specialized facul- ty and staff create a network that provides key guidance and support throughout the PhD Program. Working close- ly with faculty, both in the classroom and in the development of research, students reach the highest levels of scholarly achievement. IMT School PhD graduates will be able to use the skills they acquired during their studies to recognize and resolve complex problems, to choose the most appropriate method or instrument to utilize when approaching these problems, even in disciplines outside of their primary field of research.
Fixed-term contract: 4 years.
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 €15,300/year. The scholarships are fully-funded for up to four years, with a possibility of graduating after the third year.
The IMT School for Advanced Studies Lucca is a Public University School for Higher Education and Research with a special statute that focuses on the analysis of economic, societal, technological and cultural systems.
The IMT School promotes the full integration of research and education.
Since its institution by ministerial decree of November 18th 2005, the School has distinguished itself thanks to the quality and innovativeness of its research and doctoral program and its interdisciplinary nature, characterized by the complementarity and discourse between methodologies drawn from economics, engineering, computer science, applied mathematics, physics, archeology, art history and the analysis and management of cultural heritage.
The PhD Programs at the IMT School attracts students from around the world, providing a truly international envi- ronment. 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.
To find out more about the School, the admission requirements and how to apply, please visit the following link. Deadline for applications – July 10th 2020, 12 pm CEST
Find the IMT School on Facebook, Twitter, LinkedIn and YouTube for the latest news.
IMT School for Advanced Studies Lucca
Piazza San Ponziano, 6, 55100, Lucca
This application process is managed by the employer (IMT School for Advanced Studies Lucca). Please contact the employer for questions regarding your application.
Make sure to apply no later than 10 Jul 2020 23:58 (Europe/Amsterdam).
We like to make it easy for you, sign in for these and other useful features: