PhD fellow in Theoretical Machine Learning University of Copenhagen Department of Computer Science Denmark

JOB DESCRIPTION

Department of Computer Science

Faculty of Science

University of Copenhagen

The position is open from 1 October 2019 or as soon as possible thereafter.

Description of the scientific environment

The student will work in the Machine Learning Theory group of Associate Professor Yevgeny Seldin https://sites.google.com/site/yevgenyseldin/ The group is part of the Machine Learning section https://di.ku.dk/english/research/machine-learning/ and SCIENCE AI Center https://ai.ku.dk/

Project description

The project, titled "Theoretical Foundations of Learning with Worst-Case and Easy Data", will focus on development and analysis of online learning algorithms that can successfully operate over ranges of online learning environments. Examples of such algorithms include algorithms for stochastic and adversarial banditshttps://arxiv.org/pdf/1807.07623 and algorithms for adaptation to easy data in prediction with limited advice https://arxiv.org/pdf/1807.00636.

Read more about the Department at http://www.science.ku.dk/english/about-the-faculty/organisation/.

Please find the full job advertisement at http://employment.ku.dk/.

Only electronic applications are accepted.

Part of the International Alliance of Research Universities (IARU), and among Europe's top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.


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