3 PhD Positions in applied machine learning, ETH Zurich, Switzerland (2017)

The research group of Dr. Stefan Feuerriegel in the field of Management Information Systems is moving from the University of Freiburg to ETH Zurich. The Chair of Management Information Systems (from October 2017) at the Department of Management, Technology and Economics, ETH Zurich, is thus searching for
3 PhD students in applied machine learning

A tentative PhD candidate will be interested in one (or more) of the following topics: (1) Machine learning / deep learning / artificial intelligence (2) Data mining (3) Text mining / natural language processing (4) Business intelligence / business analytics (5) Optimization / operations research (6) Digitization (7) Finance / behavioral economics (8) Healthcare analytics (9) (Bayesian) statistics, time series analysis, econometrics. Our research is driven by the strong desire to conquer the grand challenges of our society, such as healthcare, sustainability or mastering natural languages with computers. For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling in order to gain deep insights. Different from a PhD in pure computer science, our work is more applied as we tailor advanced analytics to the specific requirements of the application.
Candidates should be interested in solving analytical tasks, ideally, combined with intermediate programming skills (e.g. in R, Python or C-something). Fluency in the English language is highly recommended. Work is almost entirely research-centered without the usual teaching duties.

Your office will be located at the heart of Zurich. You will work with a highly motivated team of young researchers in a very pleasant atmosphere. In the past, the usual length for a PhD degree has been around three years, for which funding is guaranteed. During this time, participation in conferences and voluntary exchange programs are also supported. We offer a highly competitive salary and an interesting research agenda. The starting date is October 2017 (or optionally later).

Further details:
http://academicpositions.eu