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DTU, Danmarks Tekniske Universitet

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Kgs. Lyngby

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

  • Develop novel methods for uncertainty quantification in deep learning.
  • Work with state-of-the-art nerual network architectures applied to molecular data.
  • Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.
Danmarks Tekniske Universitet

PhD Scholarships (2) in Cyber-Security and Cyber-Deception – DTU Compute

Kgs. Lyngby

The two positions are part of the project Loki: Situational aware collaborative bio-inspired cyber-deception.

This project, inspired by Norse mythology, with Loki being a shape-shifter god and a master of trickery, aims at redefining and evolving the emerging field of cyber-deception. Here, we attempt to deceive attackers by creating fake vulnerable systems that are aware of their surroundings and are constantly shifting.

The project takes inspiration from nature (e.g., from the mimicry phenomenon) to synthesize sophisticated deception.

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