Hiring

I am currently hiring post-doctoral fellows and PhD students to work with large data analytics and network centric experiments in the context of the media industry. If you are interested in economics of IT and if 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.

Post-Doctoral Fellow Position Openings

The Heinz College at Carnegie Mellon University has an opening for two post-docs in several research projects focused on network analysis and consumer behavior in media and telecommunications. Opportunities for research are multidisciplinary. The successful candidates will join an active group of researchers spanning multiple projects in big data analytics and will obtain access to unique real-time datasets and platforms to run randomized experiments from firms in the industry.

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 should be skillful in using statistical techniques to draw conclusions and empower business decisions using data. Proficiency in SQL and R are required. Knowledge of Python including NumPy, SciPy,scikit-learn and other packages that enable data science and machine learning at scale will be highly valued. We look for candidates with excellent communication skills to interact with industry practitioners and productive team collaboration demonstrated through talks, formal and informal papers and other publications.

The successful candidates are expected to publish papers in top-level journals and conferences along with other faculty and students. They will report to Prof. Pedro Ferreira (Heinz-College and Department of Engineering and Public Policy, CMU). Other faculty involved in these projects includes Prof. Rahul Telang (Heinz College, CMU) and Prof. Mike Smith (Heinz College, CMU). The initial appointment is for one year with option of renewal for another one.

Carnegie Mellon offers very competitive salaries and benefits packages. Interested candidates should forward their vita along with the names of three references and a sample of a publication or working paper to Pedro Ferreira by email at pedrof@cmu.edu.