Doctoral Fellow in Scalable Probabilistic Computing

9 hours ago


Stockholm, Stockholm, Sweden Karlstad University Full time

We are looking for a highly skilled doctoral fellow to join our team at KTH Royal Institute of Technology. As a doctoral fellow, you will conduct research in scalable probabilistic computing, focusing on developing novel methods for efficient computation and storage of large-scale data sets.

Key Responsibilities
  • Design and implement new probabilistic programming languages.
  • Develop and apply machine learning algorithms for large-scale data analysis.
  • Collaborate with our team to develop new compiler techniques.
Requirements
  • Master's degree in Computer Science or related field.
  • Excellent knowledge of machine learning and compiler science.
  • Strong programming skills in languages such as C++ or Python.
What We Offer
  • A competitive salary and benefits package.
  • Ongoing professional development opportunities.
  • A dynamic and international research environment.


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