Expert in Learning and Optimization for Edge Computing

20 hours ago


Stockholm, Stockholm, Sweden Karlstad University Full time

**About the Position**

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We are seeking a highly motivated and qualified PhD candidate to join our research team at KTH Royal Institute of Technology. The successful candidate will work on developing novel tools for safe and prompt learning and optimization of distributed network infrastructures.

The project focuses on the development of algorithms that include machine learning components, with a strong emphasis on cooperation with industrial partners and the TECoSA competence center at KTH.

The Division of Network and Systems Engineering conducts fundamental research in networked systems, wireless communications, and cyber security. Our research is conducted in collaboration with leading international universities and companies such as Ericsson, Atlas Copco, and Telenor.

To be eligible for this position, applicants must have a strong background in system modeling, optimization, and machine learning. A previous specialization in optimization and/or mathematical statistics and/or machine learning is highly desirable.

As a PhD candidate, you will have the opportunity to work independently and collaboratively with our research team. You will also have access to state-of-the-art facilities and resources at KTH.

**Required Skills and Qualifications**

  • Master's degree in a relevant field (e.g., computer science, engineering, mathematics)
  • Strong background in system modeling, optimization, and machine learning
  • Good programming skills (e.g., Python, C++, Java)
  • Excellent communication and teamwork skills

**Benefits**

  • Competitive salary and benefits package
  • Opportunity to work with a leading research institution
  • Access to state-of-the-art facilities and resources
  • Collaboration with international researchers and industry partners


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