Doctoral Researcher in Machine Learning and Optimization

3 days ago


Stockholm, Stockholm, Sweden Karlstad University Full time
Job Description

We are seeking a doctoral researcher to contribute to our ongoing project on developing novel tools for safe and efficient distributed systems. The successful candidate will design and develop innovative algorithms that integrate machine learning components, collaborating with industrial partners and the TECoSA competence center at KTH.

Key Qualifications
  • M.Sc. degree in a relevant field, such as computer science or engineering
  • Strong background and interest in system modeling, optimization, and machine learning
  • Excellent programming skills and experience with machine learning frameworks
About Our Team

The Division of Network and Systems Engineering is a leading research group in the field of networked systems, wireless communications, and cyber security. Our team consists of experienced researchers and engineers who collaborate with international partners and contribute to cutting-edge projects.

Benefits and Perks
  • Competitive salary and benefits package


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