Fondazione Human Technopole-Instituto Italiano Di Technologia

Position Title/Short Description

Full Text of JOE Listing:

The Fondazione Human Technopole (HT - https://htechnopole.it/en/) is a new research center based in Milano (Italy), and focused on Personalized Medicine, Big Data, and Nutrition.

The Center for Analysis, Decisions, and Society (CADS) has been established as a joint lab between Politecnico di Milano and HT. During the start-up phase IIT will act as actuating Institution responsible for the launch of the joint lab together with Politecnico of Milano.

The aim of CADS is to pursue the combination of domain-specific knowledge in economics and management sciences with new analytical platforms and statistical indicators and methods. Data from multiple heterogeneous sources will be integrated and combined to study national economy and the impact of political decisions on an unprecedented scale, speed, and resolution.

The positions are meant for quantitative researchers in Data Mining of unstructured data sources and in Text Mining. In particular, successful candidates will develop methods to perform Analytical Web Crawling, Scraping, Web Search and Information Retrieval with the aim of building and analysing sensible datasets to now cast the state of the whole economy or of a specific sector. The hired postdocs will also make use of Text Mining, Sentiment Analysis, and Opinion Mining techniques to extract and analyse information from texts and social media to sense the perceived state of the economy and to enrich the now casting analysis.

Knowledge of and, possibly, working experience in Data Mining and Machine Learning are required. Knowledge of Text Mining is a plus, but not strictly required.

Successful candidates will work in a multidisciplinary research group consisting of computer scientists, economists, applied mathematicians, statisticians, physicists, and data scientists in a cutting-edge research environment and will play a key role in developing predictive analytic tools and statistical methods in economics and finance and in producing high-impact publications.

Required qualifications:
•PhD in Economics, Physics, Computer Science, Computer Engineering, Mathematical Engineering, Statistics, or related disciplines
•A strong record in research productivity
•Fluency in written and oral English
•Excellent written and oral presentation skills

While not mandatory, the following qualifications are strongly desired:
•Previous experience with data science projects, preferably in economics, finance, and social sciences
•Experience in working in Web Crawling and Information Retrieval