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Offer Description
IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, with a focus on delivering System-Level evaluation tools for wireless networks. IQU R&D has been providing global solutions and services in the use of Internet and Telecommunications to companies and institutions that use information and communication technologies in commercial, marketing, management and business communication areas. IQU’s R&D has a focused business plan specifically intended on delivering a “new generation of research tools for system level evaluation of wireless integrated communication systems”. The R&D department is involved in many National and EU-funded research projects, and has extensive know-how in 5G/6G communication platforms, IoT platforms, and Demand Response algorithms for the Smart Grid. IQU is also active in many EU funded research projects, related to Wireless Communications, 5G/6G, Smart Grids and IoT.
IQU´s R&D department is looking for three Doctoral Candidates in the framework of the Marie Curie Doctoral Network EMPOWER6G funded by the European Commission.
You can find more information on this project at EMPOWER6G. The Doctoral Network is led by IQUADRAT, and comprises top European partners in the field such as ISI Athena, Katholieke Universitet Leuven, IS-WIRELESS, Chalmers Tekniska Hogskola, National Technical University of Athens, Infinera, SIAE Microelettronica, NVIDIA and Universitat Oberta de Catalunya.
EMPOWER-6G is a newly launched Marie Skłodowska-Curie Doctoral Network that offers fifteen (15) PhD positions in eight European countries. The project will work towards a break-through converged optical-wireless architecture that makes reality an efficient 6G Cell-Free (CF)-based access network for enabling the requested 1 Tb/s peak data rate and deployments with over 107 devices/km2 and for supporting new advanced user-services (e.g. holographic telepresence, advanced AR/VR, massive digital twinning, flying networks, etc.).
Requirements
Skills/Qualifications
Must hold a Master’s in Electrical Engineering, Computer, Science/Engineering, Math/Physics/Statistics or a related field
Track record of research excellence
Good communications skills
Please include your internship availability in your application
Specific Requirements
Candidates must also meet the following criteria: 1) be in the first four years (full-time equivalent research experience) of their research careers; 2) be of any nationality, but not having resided or carried out their main activity in the country of the host institution of the position they are applying to for more than 1 year in the past 3 years; 3) have not yet been awarded a PhD degree.
Additional Information
Benefits
The Doctoral Candidates (DC) enrolments are under very attractive employment conditions and competitive salaries offered in Marie Curie Doctoral Networks. The selected DCs will join top-class research groups and have a unique opportunity to pursue a career in wireless communications and networking. Working in this ambitious research project, DCs could lead to the successful completion of a doctoral degree, together with a very strong joint multidisciplinary research training program in the field of wireless and optical networks. The planned mobility among eight EU countries and ten institutions is a plus of these job positions.
Eligibility criteria
Candidates must also meet the following criteria: 1) be in the first four years (full-time equivalent research experience) of their research careers; 2) be of any nationality, but not having resided or carried out their main activity in the country of the host institution of the position they are applying to for more than 1 year in the past 3 years; 3) have not yet been awarded a PhD degree.
Selection process
You should submit your CV through a dedicated site:
https://www.5gstepfwd.eu/oaf-2023
Additional comments
Position 1: ML techniques for O-RAN compatible CF networks
This position targets to optimize the operation of Distribution Unit and Near-RT-RIC through ML-driven resource scheduling, and to develop CF-enabled central-unit and the distribution-unit components in the form of RAN VNFs, with the integration of CF high-PHY function.
Position 2: Coordination of closed-loop ML control mechanisms at all network tiers
This position targets to optimally deploy Software-Defined Transport Network Controllers at the fixed segment of the EMPOWER-6G architecture, to improve the operations of the controllers, and to control the coordination of the control mechanisms at all tiers and technology domains.
Position 3: Intelligent traffic engineering methodologies for converged optical-wireless networks with CF support
This position targets to develop traffic management and load balancing algorithms supporting both fixed and wireless users, and to investigate traffic re-routing procedures, targeting to minimize power consumption and maximize resource utilization in the EMPOWER-6G network.
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STATUS: EXPIRED
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