博士申请 | 苏黎世联邦理工学院SML课题组招收统计机器学习全奖博士生

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ETH Zurich

苏黎世联邦理工学院（ETH Zurich），由瑞士联邦政府创建于 1854 年，坐落于瑞士联邦第一大城市苏黎世，ETH 专注于工程技术、自然科学与建筑学的教育与研究，是闻名全球的世界顶尖研究型大学，被誉为 “欧陆第一名校”。ETH 位居 2022 QS 世界大学排名全球第 8 位。其中细分学科全球排名：地球与海洋科学（1）、建筑学（4）、统计与运筹学（4）、化学工程（7）、电气与电子工程（7）、数学（8）、土木工程（9）、计算机科学与信息系统（10）、机械与航空航天工程（13）等。

导师简介

Fanny Yang is an Assistant Professor in the Computer Science Department (D-INFK) at ETH Zurich. Previously she was a postdoctoral Scholar at Stanford University working with John Duchi and Percy Liang and a Junior Fellow at the Institute for Theoretical Studies at ETH Zurich working with Nicolai Meinshausen. Before that, she was a PhD student at the EECS department of UC Berkeley advised by Martin Wainwright.

She is generally interested in theoretically understanding and developing tools in machine learning and statistics that work well. Currently she is particularly curious about gaining theoretical understanding for the generalization properties of overparameterized models for high-dimensional data (motivated by neural networks) as well as a plethora of questions related to obtaining more trustworthy ML models, specifically distributional robustness, domain generalization and interpretability.

Website：

http://www.fanny-yang.de/

招生信息

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.

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:

http://www.fanny-yang.de/group.html

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.

申请要求

1. 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;

2. research experience in the field of machine learning (at least one project on a theoretical ML topic);

3. proven software engineering skills in Python or similar;

4. fluency in English;

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

福利待遇

1. An interesting, varied and challenging position within a young, international, and interdisciplinary team located at the main campus of ETH Zurich.

2. The position is paid at the highest rate Salary level 5 and is guaranteed for a duration of 4 years.

申请方式

To apply, please upload a complete application package (note that applications without at least two references will not be considered) to:

https://www.lehrbetrieb.ethz.ch/BewDokFrontend/login.view?lang=en

And send an email with a CV and transcripts to Prof. Fanny Yang ([email protected]).