Visiting Professor in Data Science and Applied Economics

1 Visiting Professor position

(Deadline November 9th, 2017 12:00 Italian time - mezzogiorno ora italiana)


Economics, Management and Complex Systems


The candidate will collaborate with IMT faculty members and PhD student in conducting research and in organizing research seminars. The position involves research and mentoring of IMT Ph.D. students, and participation in the development of the research activities of the School. The appointed candidate will join IMT research area in Economics, Networks and Business Analytics.


The successful candidate will apply data science to economics, with an approach  based on data analytics and explorative statistics. The candidate must have distinctive competences in complex network theory with a good record track of publications. The candidate must have a long experience in data wrangling (cleaning, collecting and structuring data in databases). He/she must be fluent in programming data science oriented languages (Python, R, C++) and data visualization. The research domain will be applied economics where the successful candidate will have a record of peer reviewed publications in applied economics and the analysis of socio-economic networks. Machine learning tools and innovative methods in economics will be a plus as well as good data visualization skills.

Formal requirements:

The candidate must have a curriculum with a suitable scientific background for carrying out research activity. Ph.D. in Economics, Statistics, Physics or a related field and an excellent knowledge of English, both written and spoken.

Specific requirements:

Programming data science oriented languages (Python, R, C++)

Research Unit:
AXES - Laboratory for the Analysis of compleX Economic Systems
Type of contract:
Contratto di lavoro autonomo
Gross remuneration:



3 months

Full call:
download in Italian
Director Decree Selection Committee:
download in Italian
Final decree:
download in Italian

Recruitment Program Principles and Standards


Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.


  • Personal info and contact info (compulsory)


  • Your CV in English (compulsory)