IMT School for Advanced Studies Lucca is a Public University School for Higher Education and Research with a special statute, which focuses on the analysis of economic, societal, technological and cultural systems.
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 programs and its interdisciplinary nature, characterized by the complementarity and interaction between methodologies drawn from economics, engineering, computer science, applied mathematics, physics, archeology, art history and the analysis and management of cultural heritage. The IMT School is committed to gender equality, inclusion, and diversity.
The purpose of the scouting procedure is to collect expressions of interest in sectors deemed strategic for the development of the School’s research areas and doctoral programs in order to evaluate the opportunity to open call (“concorsi”) as expected according to the Italian law.
Specifically at this stage, the School initiates International Scouting for the collection of expressions of interest for
- Associate Professor position to be filled by direct call under Law 230/2005 Art. 1 paragraph 9 in Economics
- Tenure-track Assistant Professor positions in:
Associate Professor in Economics
The deadline for expressions of interest is June 30th, 2023 at 13:00 (italian time)
The successful candidate will contribute to establishing, promoting, and managing the Open Lab, a research infrastructure planned in the context of the Italian program for Departments of Excellence 2023-2027. The Open Lab aims to bridge the gap between research and society. The Open Lab is a step towards improving collaboration with external stakeholders and offers a wide range of activities, from tailor-made research design and field data collection to the development of specific solutions and policy interventions. The Open Lab will integrate experimental, quasi-experimental, and observational methods to contribute to the different activities of the IMT School multidisciplinary research community, with a particular focus on the economic and digital resilience of socio-economic systems. The Open Lab will also be active in technology transfer with companies and institutions.
Successful candidate will be involved in the Ph.D. Program in Economics, Analytics, and Decision Sciences and contribute to the definition of the IMT School’s future research agenda.
Ideal candidates must have a track record of published research in top-level, general-audience, and top-field journals in any area of economics, as well as a demonstrated success in acquiring research grants.
The Italian Tax Agency may grant a tax relief of ~90% in the first six years of residence in Italy if the applicant can demonstrate that s/he had tax residence abroad for at least two years before the starting date.
Allegati
Tenure-track Assistant Professor
The deadline for expressions of interest is June 30th, 2023 at 13:00 (italian time)
The IMT welcomes applications from researchers with a successful track record of conducting top-level research, attracting research grants, and performing administrative/managerial roles in academia. The ability to work in a multidisciplinary environment will be highly appreciated.
Fluent command of English and excellent communication skills are required. Knowledge of Italian is optional. IMT is particularly interested in qualified candidates who can contribute to the diversity and excellence of the academic community.
By Italian legislation, the salary will be approximately € 44,000 before taxes, based on qualification and experience. The Italian Tax Agency may grant a tax relief of ~90% in the first six years of residence in Italy if the applicant can demonstrate that s/he had tax residence abroad for at least two years before the starting date.
Computational Neuroscience for Social Cognition
We invite expressions of interest for a tenure-track assistant professorship in computational neuroscience applied to social and cognitive neurosciences. The successful candidate will strengthen IMT's core competencies in the combination of multimodal neuroimaging, psychophysiological and advanced analytical methods (including machine learning and representational approaches) to describe the behavioral and neural correlates of large-scale organizational dynamics of socio-economic systems. As such, his/her work relies on theoretical and methodological approaches from cognitive neuroscience, social cognition and data science in the contextual frameworks of integrated projects among cognitive science, psychology and (behavioral) economy.
Applications are welcome from researchers within a broad spectrum of backgrounds and interests – both theoretical and applied – including, but not limited to:
- Cognitive and social neurosciences;
- Advanced signal processing and mathematical modeling to analyze brain and peripheral signals;
- Computational modeling applied to behavioral (e.g., language, emotions, etc.) and to neural correlates;
- Machine learning and clustering for neurosciences, cognitive sciences, economic research.
The appointed Assistant Professor is expected to contribute to the Open Lab, a research infrastructure planned in the context of the Italian program for Departments of Excellence 2023-2027. The Open Lab aims to bridge the gap between research and society providing a step towards improving collaboration with external stakeholders. It offers a wide range of activities, from tailor-made research design and field data collection to specific solutions and policy interventions. The Open Lab will integrate experimental, quasi-experimental, and observational methods to contribute to the different activities of the IMT School multidisciplinary research community, with a particular focus on the economic and digital resilience of socio-economic systems. The Open Lab will also participate in technology transfer with companies and institutions.
The appointed Assistant Professor will contribute to doctoral training, especially within the Ph.D. program in Cognitive Computational and Social Neurosciences and, for selected topics, within the Ph.D. program in Economics, Analytics, and Decision Sciences.
In addition, s/he may carry out teaching duties within the following joint Master's degrees: “Bionics Engineering” (with the University of Pisa), and “Data Science and Statistical Learning” (with the University of Florence).
We invite expressions of interest for a tenure-track assistant professorship in machine learning. The successful candidate will strengthen IMT's core competencies in the modeling, analysis, and control of systems, developing and employing methodologies and tools with firm mathematical grounds.
Applications are welcome from researchers within a broad spectrum of backgrounds and interests – both theoretical and applied – including, but not limited to:
- Active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, and time series analysis;
- Deep Learning architectures, generative models, and deep reinforcement learning;
- Statistical Learning Theory;
- Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods);
- Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness);
- Applications of machine learning to fields such as data science, economics, humanities, medical sciences, physical sciences, and social sciences.
The appointed Assistant Professor is expected to contribute to the Open Lab, a research infrastructure planned in the context of the Italian program for Departments of Excellence 2023-2027. The Open Lab aims to bridge the gap between research and society providing a step towards improving collaboration with external stakeholders. It offers a wide range of activities, from tailor-made research design and field data collection to specific solutions and policy interventions. The Open Lab will integrate experimental, quasi-experimental, and observational methods to contribute to the different activities of the IMT School multidisciplinary research community, with a particular focus on the economic and digital resilience of socio-economic systems. The Open Lab will also participate in technology transfer with companies and institutions.
The appointed Assistant Professor will contribute to doctoral training, especially within the Software Quality track of the Ph.D. program in Systems Science, the Ph.D. program in Economics, Analytics, and Decision Sciences, and the national Ph.D. program in Cybersecurity. In addition, s/he will carry out teaching duties within the Master's degrees in "Software Science and Technology" and “Data Science and Statistical Learning,” which will be active from the academic year 2023/2024 jointly with the University of Florence.
We invite expressions of interest for a tenure-track assistant professorship in organization studies. The successful candidate will strengthen IMT's core competencies in the analysis of Labor and Society focusing on the remote work revolution and the transformation processes at organizations and work-life balance driven by digitalization and globalization.
Applications are welcome from researchers within a broad spectrum of backgrounds and interests – both theoretical and applied – including, but not limited to:
- The impact of remote and hybrid work on productivity, mental and physical well-being, safety, including the study of the organizational implications and consequences of remote work on business competitiveness, manufacturing, high-tech, and high-value-added service industries;
- The gig economy and the impact of new technologies on the equitable and efficient allocation of human capital;
- The predictive analysis of labor market dynamics, in terms of emerging needs for new knowledge, skills, job profiles, and the analysis of the impact of remote work on work-life balance and employment of individuals or groups also engaged in care activities (female employment, caregivers, etc.);
- The managerial and organizational implications of digital transition, digital experimentation, and management of emerging risks, with particular reference to geopolitical risks and cybersecurity;
- The impact of digital transition on scientific research, creative industries, and cultural heritage management, enjoyment, and enhancement.
The appointed Assistant Professor is expected to contribute to the Open Lab, a research infrastructure planned in the context of the Italian program for Departments of Excellence 2023-2027. The Open Lab aims to bridge the gap between research and society, providing a step towards improving collaboration with external stakeholders. It offers a wide range of activities, from tailor-made research design and field data collection to specific solutions and policy interventions. The Open Lab will integrate experimental, quasi-experimental, and observational methods to contribute to the different activities of the IMT School multidisciplinary research community, with a particular focus on the economic and digital resilience of socio-economic systems. The Open Lab will also participate in technology transfer with companies and institutions.
The appointed Assistant Professor will contribute to doctoral training, especially within the following Ph.D. programs: Economics, Analytics, and Decision Sciences (EADS), Management of the Digital Transformation (MDT), and Cultural Systems.
Allegati