Machine Learning Specialist in Edge Networks

7 days ago


Stockholm, Stockholm, Sweden Karlstad University Full time
Research Assistant Position

We are seeking a highly motivated doctoral student to join our research team at KTH Royal Institute of Technology. As a doctoral student, you will work on developing rigorous tools for safe and prompt learning and optimization of distributed network infrastructures.

Key Responsibilities:

  • Research Focus: Develop algorithms that include machine learning components.
  • Collaboration: Collaborate with industrial partners and researchers from other institutions.

Qualifications:

  • Background: A strong background in system modeling, optimization, and machine learning is required.
  • Languages: Proficiency in English is required, and knowledge of Swedish is beneficial.

Benefits:

  • Dynamic Research Environment: Work in a dynamic and international research environment with opportunities for collaboration and professional growth.
  • Competitive Salary: A competitive salary and benefits package according to KTH's Doctoral student salary agreement.
  • Relocation Support: Assistance with relocation and settling in Sweden.


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