Optimizing Learning for Edge Computing

3 days ago


Stockholm, Stockholm, Sweden Karlstad University Full time
About the Role

We are seeking a highly motivated doctoral student to join our research team in the Division of Network and Systems Engineering. The successful candidate will work on developing rigorous tools for safe and prompt learning and optimization of distributed network infrastructures.

Key Responsibilities
  • Design and develop novel algorithms that incorporate machine learning components
  • Collaborate with industrial partners and the TECoSA competence center at KTH
  • Pursue original research in system modeling, optimization, and machine learning
About Us

The Division of Network and Systems Engineering conducts fundamental research in networked systems, wireless communications, and cyber security. We have an extensive academic network and collaborate with researchers from renowned institutions worldwide.

Admission Requirements
  • Basic eligibility for postgraduate education
  • Strong background and interest in system modeling, optimization, and machine learning
  • Excellent English language skills, equivalent to English B/6
What We Offer

As a doctoral student at KTH, you will be part of a dynamic research environment with opportunities for growth and development. You will also receive a competitive salary and benefits package.

How to Apply

To apply for this position, please submit your application through KTH's recruitment system. Ensure that your application is complete and includes all required documents.



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