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International Scouting

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. IMT School promotes full integration of research and education and is well known for the quality and innovativeness of its research and doctoral programs. Its interdisciplinary nature is characterized by the complementarity between methodologies drawn from economics, engineering, computer science, applied mathematics, physics, archaeology, art history, historical, philosophical, and juridical disciplines, and the analysis and management of cultural heritage. The working language is English; Italian courses are offered to staff free of charge.

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.

Position for Assistant Professor (Ricercatore a tempo determinato l. 240/2010, art 24, c.3 lett. A)
The deadline for expressions of interest is October 25th, 2021 at 12.00 (noon italian tyme)

Business Strategy, Management Science, Applied Neuroscience
The ideal candidates are researchers with an internationally recognized research track and with a solid foundation in the fields of management science and business strategy, with particular regard to dynamic capabilities, entrepreneurial behavior and managerial conduct. Candidates must be familiar with the latest research in neuroscience applied to strategy and management and must have experience in interdisciplinary research.
Ideal candidates are excellent in the use of advanced statistical methods for the analysis of organizational, social, and economic systems.
The successful candidate will carry out research and teaching activities in post-graduate courses and interact with the different disciplinary areas of the School, contributing to the development of the disciplines of strategy and management, with an interdisciplinary and frontier approach.
Candidates must have an excellent record of publications and a proven record of achievements, a clear interest/potential to promote and lead research activities, a specific experience in teaching at the postgraduate level, and supervising doctoral students.
Potential candidates are invited to fill in the form by attaching:

  • a curriculum vitae and the list of publications
  • a letter of motivation
  • three names of experts to whom letters of reference may be requested.

Attachments

Position for Assistant Professor – Tenure track (Ricercatore a tempo determinato l. 240/2010, art 24, c.3 lett. B)

The deadline for expressions of interest is July 16th, 2021 at 12.00 (noon italian tyme)

Computational Methods.
Ideal candidates are accomplished researchers with a strong methodological background in one or more of the following: computational machine learning, numerical analysis, control and optimization, network analysis. The successful candidate will be expected to carry out research and teaching postgraduate courses on topics related to the above subjects, and to interact with the different areas of the School, in particular on frontier cross-disciplinary research problems of computational mechanics, economics, industrial automation and in general on specification, analysis and management of systems.

Social, Affective and Economic Decision Making.
Ideal candidates are experienced scholars, with a recognized potential to carry out research and teaching in one or more of the following areas: neuroscience, cognitive psychology, brain network analysis applied to decision making processes, preferences, emotions and representation of emotions, also in relation to management, economics and marketing. Candidates must be open to interacting with the different areas of the School, in particular on frontier cross-disciplinary research problems of decision making in economics, analysis and management of systems.

Statistics, Econometrics & Machine Learning.
Ideal candidates should have a track record of internationally recognized research in statistics, econometrics, or machine learning together with a strong background in economics. We are looking for outstanding candidates with an excellent track record of applying advanced statistical methods to analyze economic systems. The position is part of the School's initiative to broaden its activities in data science, to develop applications in different domains and to foster its interdisciplinary development.

Candidates must have an excellent record of publications and a proven record of achievements, a clear interest/potential to promote and lead research activities, a specific experience in teaching at the postgraduate level, and supervising doctoral students.
Potential candidates are invited to fill in the form by attaching:

  • a curriculum vitae and the list of publications
  • a letter of motivation 
  • three names of experts to whom letters of reference may be requested.

Attachments

The result of this phase of International Scouting is the opening  two public competition for a position of tenure-track assistant professor which have to follow the italian legislation (in specific art. 24 l. 240/2010).
In case you are interested in applying, you can find further details at the following address.
 

Additional Information
Tenure-track Assistant Professors (RTD-B) will be employed for three years, during which they are required to secure the Italian national scientific habilitation (ASN) from an independent national evaluation committee in order to obtain tenure at the associate professor level. Applicants to ASN are evaluated based on various indicators of scientific quality and leadership such as bibliometrics, research grants, invited talks, and best-paper awards.

  • Assistant Professor, tenure track (RTD-B) in a range between € 35.732 and € 46.452

Net income may vary depending on income taxes, local taxes, retirement plan, health care deduction and tax exemptions. New employees who have worked in research-based positions abroad for the previous two years may be eligible for a substantial tax rebate for the first five fiscal years of employment.