PhD position in applied probabilistic machine learning

Updated: about 2 months ago
Job Type: FullTime
Deadline: 05 Sep 2020

Our research group in the field of Wirtschaftsinformatik (Management Information Systems) is looking for a new PhD student starting in 2020. We are located at the Department of Management, Technology and Economics (MTEC).

Job description

A tentative PhD candidate will be interested in one (or more) of the following topics:

  • Machine learning / deep learning / artificial intelligence
  • Probabilistic machine learning (hidden Markov models, Hawkes processes)
  • Bayesian learning (MCMC, Gaussian processes, variational inferences)
  • Causal machine learning

Our research facility is always open to own proposals and further suggestions. Firm collaborations are also welcome.

What we offer

Your office is located at the heart of Zurich - most likely Europe's most compelling place to live. 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 3-4 years, for which funding is guaranteed. During this time, participation in conferences and voluntary exchange programs are also supported.

We offer a competitive salary in accordance with ETH standards and an interesting research agenda. Our research is driven by the strong desire to develop artificial intelligence for management in businesses, public organizations or healthcare. For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling in order to gain deep insights. For this, we make heavy use of Maths and computer science based on which we tailor advanced analytics to the specific requirements of the application.

Your profile

Ideally, the candidate has a degree in Mathematics, Applied Mathematics, Statistics, or Computer Science (or a related field). Fluency in the English language is highly recommended. Topic-wise, our research facility is always open to own proposals and further suggestions. Work is almost entirely research-centered without the usual teaching duties. The starting date can be freely chosen. Candidates will be screened on a continuous basis until the position has been filled.

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.


We look forward to receiving your online application. We have a lightweight application procedure (CV+transcript only) to minimize effort at both ends. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Questions regarding the position may be directed to Ms. Sharon Teitler at (no applications).

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