Hiring

I am currently hiring post-doctoral fellows to work with large data analytics. If you are interested in Economics of Digitization and you have a solid background in quantitative research methods and database management send me a copy of your vita and a brief statement of research interests. I will be happy to follow up and assess opportunities for collaboration or employment. For more information see below.

Position 1: Candidates should have a PhD in economics, econometrics, statistics or a related field. Successful candidates will be familiar with microeconomics, game theory, consumer behavior theory, both structural modeling and empirical research, with interest in applied work in Information Systems.

Position 2: Candidates should have a PhD in computer science, statistics or a related field. Successful candidates will be familiar with a variety of theories and techniques in Machine Learning and Data Mining such as pattern classification and statistical learning, including Bayesian decision theory, parameter estimation, support vector machines, gradient boosting methods, regularization techniques, decision trees, etc.

For both positions candidates will need proficiency in SQL and R. Knowledge of Python including NumPy, SciPy, scikit-learn and other packages that enable data science and machine learning at scale will be highly valued.

The successful candidates are expected to publish papers in top-level journals and conferences along with other faculty and students.