PhD Position in Applied Mathematics and Statistics

1 day ago


Gothenburg, Västra Götaland, Sweden Karlstad University Full time
Job Description

This PhD position is part of the project 'Investigating deep learning through the lens of adaptive kernels,' funded by the Swedish Research Council. You will work under the guidance of Professor Rebecka Jörnsten, exploring the connection between deep learning and kernel methods in multiple directions, including model learning, joint training, and flexible, interpretable modeling of large-scale biobank and cancer genomic data.

Research Areas
  • Developing methods to bridge the gap between classical statistics and deep neural networks
  • Analyzing the connection between deep learning and kernel methods
  • Exploring the application of these methods in biobank and cancer genomic data analysis
Qualifications

A Master's degree or a 4-year Bachelor's degree in Mathematics, Applied Mathematics, Mathematical Statistics, or a related field, or expectation to complete such a degree by September 1, 2025. Good presentation and communication skills in English are required, along with experience in one or several of the following areas: theory of deep neural networks, high-dimensional statistics, kernel methods, programming.



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