Doctoral researcher / PhD - Statistical Machine Learning research group
100%, Zurich, fixed-term
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
We value diversity
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.