PhD Fellowships in Machine Learning at the University of Copenhagen

2 months ago


Copenhagen, Copenhagen, Denmark Københavns Universitet Full time

PhD Fellowships in Machine Learning

The Department of Computer Science at the University of Copenhagen invites applications for PhD fellowships in Machine Learning. We are seeking highly motivated and talented individuals to join our research group and contribute to the development of innovative Machine Learning solutions.

About the Position

We are offering three PhD fellowships in Machine Learning, each with a unique research focus. The successful candidates will have the opportunity to work on cutting-edge projects, collaborate with renowned researchers, and contribute to the advancement of Machine Learning techniques.

Research Focus

The PhD fellowships will focus on the following areas:

  • Trustworthy Machine Learning: Developing robust and secure Machine Learning models that can withstand adversarial attacks and ensure data privacy.
  • Robust Online Learning: Investigating the impact of adversarial threats on online learning and developing algorithms to mitigate these threats.
  • Sustainable Machine Learning: Exploring resource-efficient Machine Learning methods and their impact on the sustainability of Machine Learning.

Requirements

To be eligible for the PhD fellowships, applicants must have a strong background in Computer Science, Mathematics, or a related field. They should also have excellent programming skills, particularly in Python or C++.

What We Offer

The University of Copenhagen offers a dynamic and supportive research environment, with access to state-of-the-art facilities and resources. Our research group is committed to fostering a collaborative and inclusive culture, and we welcome applications from talented individuals from diverse backgrounds.

How to Apply

To apply for the PhD fellowships, please submit your application, including your CV, research statement, and contact information for three academic referees. The application deadline is January 15, 2025.



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