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Algorithm Specialist - Wireless Communication

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Algorithm Specialist - Wireless Communication

  • Location:

    Stockholm

  • Sector:

    ConSol UK IOT & Emerging Technologies

  • Job type:

    Temporary & Contract

  • Salary:

    €65 - €75 per hour

  • Contact:

    Jamie Jenkins

  • Contact email:

    jamie.jenkins@consolpartners.com

  • Job ref:

    BBBH403983_1663593342

  • Published:

    9 months ago

  • Duration:

    12 months+

  • Expiry date:

    2022-10-17

  • Startdate:

    ASAP



Algorithm Specialist

Initial 12 month contract + extensions

Stockholm, Sweden

Our client's office in Sweden is the leading overseas R&D office within the company, and the Wireless Network Algorithm Lab at our client drives innovation for the wireless Radio Access Networks product. We work on physical layer signal processing and Radio Resource Management algorithms and in doing so cooperate with universities all over Europe to find the next technological breakthroughs. If this sounds like an interesting challenge and you believe your background is a good match, then you should consider the following position.

Responsibilities

  • Research and innovation in the area of Physical layer and Radio Resource Management
  • Contribute to strategic planning in the area of radio network performance and algorithm development
  • Drive and contribute to university cooperations in the algorithm area
  • Some travelling is expected, both within Europe and to China

Minimum qualifications

  • 8 years experience or more in the wireless communication industry
  • Good knowledge of key technologies such as ofdm, massive mimo and interference coordination
  • Experience in system level simulations
  • Innovative spirit

Preferred qualifications

  • A PhD in Electrical Engineering or equivalent experience from telecom industry
  • Knowledge of 3GPP standardization
  • Well connected with academic research in the area of radio performance and algorithms
  • Knowledge of optimization theory, control theory and/or machine learning