Doctoral researcher / PhD - Statistical Machine Learning research group

100%, Zurich, fixed-term

The position will be within the Statistical Machine Learning research group in the Department of Computer Science at the ETH Zurich, led by Prof. Fanny Yang.

Job description

Thematically, possible topics may be in the intersection of high-dimensional and non-parametric statistics, theory for overparameterized models, frequentist inference, and theory for domain generalization and distribution shifts. Related areas of interest can also be discussed. For a flavor of recent work in our group, please visit sml.inf.ethz.ch. Important is a combined passion for solving relevant data science problems in practice with the curiosity to gain a deep theoretical understanding of modern phenomena in data science.

Your profile

Qualifications and Skills:

  • an excellent completed (by the start date) Master's degree preferably in Statistics, Mathematics or Data Science, but also accepting applications from Electrical Engineering, Computer Science or other strongly mathematically oriented programs
  • research experience in the field of machine learning (at least one project on a theoretical ML topic)
  • proven software engineering skills in Python or similar
  • fluency in English 

You should be highly self-motivated, be interested in tackling challenging research problems, have organizational skills, be open-minded, and have scientific leadership potential.

Your workplace

We offer

An interesting, varied and challenging position within a young, international, and interdisciplinary team located at the main campus of ETH Zurich. The position is paid at the highest rate Salary level 5 and is guaranteed for a duration of 4 years.
Working, teaching and research at ETH Zurich

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

To apply, please upload a complete application package (note that applications without at least two references will not be considered) to: the department admission system and send an email with a CV and transcripts to Prof. Fanny Yang (fan.yang@inf.ethz.ch).

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

About ETH Zürich

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.