Theory of Online Machine Learning: PhD fellowship 1284 views

PhD fellowship is open in Theory of Online Machine Learning at the Department of Computer Science, University of Copenhagen

About the Project:

• The recipient will work on theoretical questions in online machine learning, with particular emphasis on algorithms and lower bounds that are applicable over ranges of problems.
• While the primary focus of the project is theoretical, application of the results to real-world problems will be encouraged and the PhD fellow will have access to a wide range of experts in application domains.
• Principal supervisor for the project will be Asstt. Prof. Yevgeny Seldin (seldin@di.ku.dk)

Duration: 3-year

Qualifications and requirements:

• Applicant must hold a Master’s degree in Computer Science, Mathematics, Statistics, or related fields.
• Applicant must have strong mathematical background
• Applicants with excellent background in machine learning and probability theory will have an edge.
• Applicant must demonstrate keen interest in challenging theoretical problems in the fields of online learning / machine learning / probability theory

Application Procedure

• The applications to be submitted online (in English). Following documents to be included:
• Cover Letter
• CV
• Diploma and transcripts of records (Bachelor’s and Master’s)
• List of publications (if any)
• 1-3 professional references with contact details (name & email)

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