Current Job Postings

Post-doctoral positions in Applied Economics/Econometrics

Title: Post-doctoral positions in Applied Economics/Econometrics

  • Employer: FONDAZIONE HUMAN TECHNOPOLE - ISTITUTO ITALIANO (Center for Analysis, Decisions, and Society (CADS))
  • Location: Italy
  • Position Type: Post-Doc
  • Deadline: Sep 30, 2017

  • Job Description:

    The Fondazione Human Technopole (HT - is a new research center based in Milano (Italy), and focused on personalized medicine, big data, and nutrition. The Human Technopole’s mission is to develop personalized approaches, both medical and nutritional, to fight cancer and neurodegenerative diseases. It will accomplish its mission integrating genomics, analysis of increasingly large data sets, and new generation diagnostic techniques. Through its multidisciplinary approach, Human Technopole will also process a massive amount of available socio-economic data thanks to high-performance computing and storage facilities with the aim of developing innovative analytical solutions for public decision makers. At steady state, HT will be composed by 7 Centers and 3 Facilities.
    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 applied economists/econometricians capable of performing econometric analysis of economic micro data (large size, high dimensionality) using advanced econometric techniques.
    Knowledge of and working experience in the domain of high dimensionality micro data from many different data sources is required.
    Knowledge of and previous experience with financial and market data sets are strongly desired.
    The candidate 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, econometric models and statistical methods in economics and finance and in producing high-impact publications.
    Required qualifications:
    • PhD in Economics, Econometrics, Statistics, or related disciplines.
    • A strong record in research productivity
    • Fluency in written and oral English
    • Excellent written and oral presentation skills
    • Computational skills and proficiency in the use of R (or Stata)
    While not mandatory, the following qualifications are strongly desired:
    • Previous experience with data science projects, preferably in economics, finance or social sciences
    • Knowledge of Bayesian econometrics and/or spatial econometrics
    • Experience in working with tools of complex networks theory, machine learning and data mining
    • Computational skills and proficiency in the use of Python, Hadoop, Spark
    Successful candidates for these positions will be offered a competitive package commensurate to qualifications and experience.
    Interested applicants should submit CV, list of publications, names of 2 referees and a statement of research interest to quoting the position you are applying for as reference in the subject line.
    Please apply by September 30, 2017

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