PhD in Economics, Analytics and Decision Sciences IMT School for Advanced Studies Lucca
2022/23 Economics, Analytics and Decision SciencePhD Program at the IMT School for Advanced Studies Lucca
The 2022 call for Applications for the Economics, Analytics and Decision Science PhD Program is now closed.
The next call for this PhD Program is expected to open in Spring 2023 and the start of the Program will be in November 2023.
Deadline for 2022 applications was June 30th, 2022, 12 pm CEST
Applications are now being accepted for the 2022/23 PhD Programs at the IMT School for Advanced Studies 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 fully-funded scholarships within three doctoral Programs that integrate scientific competences of economics, engineering, computer science, neuroscience and behavioral psychology, physics, applied mathematics, statistics, history and sciences of cultural heritage.
The Doctoral Program in Economics, Analytics and Decision Sciences is based on the development of skills that underlie the quantitative and qualitative analysis of the phenomena observed in economic and social systems. The Program aims at providing participants with a solid knowledge of modern analytical methods, following a multidisciplinary approach. The Program develops a strong integration of concepts, analytical methods and practical skills, to train the new generation of economists, social scientists, managers and professionals with specific competences in the analysis, interpretation and management of the complexity of economic, firm, and social systems.
Students are trained to become researchers and decision-makers in academia, politics, administration and business, through the integration of knowledge that lies at the borders between economics, management and the other social sciences, while maintaining the unifying language of mathematics and statistics and borrowing the tools necessary for specific applications from computer science and psychology.
The close connection with a selected group of companies and institutions offers the opportunity to adopt new perspectives of analysis and interpretation of phenomena through the use of innovative quantitative and qualitative research methodologies for solving the problems of the real economy and society. Students are therefore involved in the collection and analysis of high-dimensional real-world data.
The Program is characterized by the interdisciplinary nature of its approach. The obstacles that traditionally divide the different domains of knowledge are overcome by addressing the problems that arise in the various application fields - industrial, institutional, health, environmental, technological, social, ethical, etc. - through a variety of scientific methodologies derived from probability theory, theory of the firm, mathematical statistics, econometrics, machine learning, experimental methods, cognitive science, computer science and computational methods.
Students also have the opportunity of completing their research projects under the joint supervision (double-degree) with partner universities, including KU Leuven and the University of Alicante. All students are encouraged to spend periods abroad, both within the Erasmus+ framework and through ad-hoc mobility agreements, taking advantage of strong ties with selected companies and international institutions.
Input and output profiles
The EADS program welcomes candidates with training in one of the following subject areas: economics, management, statistics, law, physics, computer science, engineering, logic and philosophy of science, mathematics, cognitive and behavioral sciences, or in contiguous areas. The ideal candidate is interested in acquiring distinctive competencies in economics, statistics, management and neuroscience, but does not necessarily need to have previous training in these areas. However, it is crucial that the candidate demonstrates solid quantitative skills, comparable with those typically acquired in economics-managerial degrees.
The Program prepares to face, analyze and solve a wide spectrum of complex and interdisciplinary problems of relevance at the institutional, social and industrial level, with the primary objective of identifying sustainable solutions and designing effective intervention policies in the economic and social spheres, as well as in business life, understood in a broad sense.
Outgoing profiles share a characterizing common part of training on the behavior of economic decision-makers and on the statistical-econometric analysis of data and evidence, plus dedicated specialization along the lines of economics and management, management and decision sciences, or economics and decision sciences.
Job placement opportunities range from academia, in the various disciplines of the CUN 13 macro-area (economic sciences and statistics) and in contiguous areas, to the public sector, international institutions, research laboratories, study centers, and regulatory authorities, as well as the private sector (services, industry and professional advice).
To find out more about the School, the admission requirements and how to apply, please visit https://www.imtlucca.it/en/phd/information-for-students
Deadline for applications – June 30th, 2022, 12 pm CEST
Scholarships and Funding
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 €16,243/year. The scholarships are fully-funded for three years, with a possibility of graduating after the third year.