Research Scientist in Scalable Probabilistic Machine Learning

1 day ago


Stockholm, Stockholm, Sweden Karlstad University Full time
Job Description:

Karlstad University invites applications for a research scientist position focused on fundamental research combining probabilistic machine learning and compilers.

The successful candidate will work on methods for finding compilation techniques and novel probabilistic machine-learning methods that scale up to very large problems. The focus is on Bayesian inference techniques and how to design probabilistic programming languages, both for usability and performance.

Required Skills and Qualifications:
  • Excellent knowledge of computer science, including experience in machine learning, compilers, algorithms, or programming language theory.
  • Ability to independently pursue research work and collaborate with others.

We are looking for a highly motivated individual with a strong academic background in computer science. The ideal candidate should have a professional approach, excellent analytical skills, and the ability to work with complex issues.



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