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Open positions for Ukrainian Postdocs/Researchers/Engineers in 6G 

We have three open positions for Ukrainian Postdocs, Researchers, or Engineers. They can join our team and contribute to:

  • theoretical research related to radio resource and mobility management in scenarios with UAVs and/or vehicles and encompassing potentially also edge computing
  • experiments and development of prototypes and platforms for vehicular and UAV communication, edge computing, machine learning for 6G, or monitoring of QoS in 5G and beyond.

We can immediately offer a contract with flexible effort adapted according to time availability.  The length of contract is flexible and skilled and motivated candidates can be included into currently prepared project proposals with long-term perspective of position in our research lab.

Fluent English is required (in written as well as spoken form), background in Electrical engineering, Telecommunications, Computer science, or good programming skills are welcome.

The positions will be fundend by the Department of Telecommunication Engineering, Faculty of Electrical Engineering at Czech Technical University in Prague, Czech Republic.

Interested candidates, please, send an email to assoc. prof. Zdenek Becvar (zdenek.becvar@fel.cvut.cz).

Open postdoc position in “Machine learning for 6G” – Candidate selected, call is closed

We have an open postdoc position in the area of machine learning-based radio resoure management in future mobile networks. The postdoc is expected to carry our theoretical research and optionally also participate on validation in our state-of-the-art equipped lab.

The research will be carried out in the laboratory of mobile networks – 6Gmobile research lab, Department of Telecommunication Engineering at Czech Technical University in Prague, Czech Republic.

The full-time contract with a competitive salary and bonuses will be set from spring 2022 for 12 months with a possible extension up to 3 years depending on mutual interest and available funding.

The applicants should meet the following criteria:

  • Ph.D. degree in Electrical engineering, Telecommunications, Computer science, or similar domain
  • Publications in high quality journals (IEEE Transactions, Letters, etc.)
  • Excellent writing and communication skills
  • Background in mobile networks and machine learning
  • Good programming skills (MATLAB, Python, C/C++)
  • Ability to work independently and cooperate with a team of researchers
  • International experience during Ph.D. is a significant plus

Interested applicants should send following documents to supervisor assoc. prof. Zdenek Becvar (zdenek.becvar@fel.cvut.cz):

  • Curriculum Vitae
  • Cover letter stating qualification and motivation
  • List of relevant research works (published papers, reports, etc.)
  • PhD thesis
  • Recommendation letter(s)

The applications will be continuously evaluated until the position is filled.

Open PhD student position in “Mobile Caching for 6G”  – Candidates selected, call is closed

We have an open position for PhD student in the area of allocation of caching and communication resources in scenarios with vehicles (cars, drones, etc.).

The research will be carried out in the Laboratory of Mobile Networks, 6Gmobile research lab, Department of Telecommunication Engineering at Czech Technical University in Prague, Czech Republic.

The position is funded by a national research project for support of an international collaboration in research towards future mobile networks and the project also covers student’s internship in leading European academic and research institutions during PhD.

The applicants should meet the following criteria:

  •  Hold M.Sc. degree in Electrical engineering, Computer science, or similar domain
  • Excellent writing and communication skills
  • Background in wireless communications, optimization, and machine learning
  • Good programming skills (MATLAB, C/C++, Python, etc.)
  • Ability to work independently and cooperate with a team of researchers

Interested applicants should send following documents to supervisors assoc. prof. Zdenek Becvar (zdenek.becvar@fel.cvut.cz) and dr. Pavel Mach (machp2@fel.cvut.cz):

  • Curriculum Vitae
  • Cover letter stating qualification and motivation
  • Transcript of records
  • List of relevant research works (published papers, reports, etc.)
  • Master thesis
  • Recommendation letter(s)

The applications will be continuously evaluated until the position is filled, but no longer than by October 20.

The selected candidate will be invited to fill and submit official documents to the university and the deadline for the submission of the official documents to the university is October 30, 2021.

The selected candidate is expected to join the lab roughly in February 2022.

We also welcome self-motivated students with interest in future mobile networks to work on thesis (BSc., MSc., Ph.D.) or projects. In case of any questions, send us an email.

We welcome also students interested in following areas:

  • Mobility management

    (handovers, neighborhood scanning, call admission control, etc.)

  • Radio resource management

    (interference mitigation, power control, scheduling, cognitive spectrum sharing, etc.)

  • Device-to-Device Communication

    (interference management, mobility management, mode selection, etc.)

  • Mobile Edge Computing and Cloud-RAN

    (architecture of 5G mobile network, functional splitting, radio access network, etc.)

  • UAVs in mobile networks

    (positioning of UAVs providing services to users, allocation of communication and computation resources at UAVs, energy efficiency, radio resource and mobility management, interference management, etc.)

  • IoT and vehicular commuincations

    (vehicular communications, cooperation among vehicles, acess of IoT devices to mobile network, etc.)

Interested applicants should send following documents to assoc. prof. Zdenek Becvar:

    1. Curriculum Vitae
    2. Cover letter stating qualification and motivation
    3. Transcript of records
    4. List of relevant research work (papers, reports,…)
    5. Master thesis (if already completed)
    6. Recommendation letters (if available)