Organisation/Company: Iquadrat Informatica SL Department: Research & Development Research Field: Engineering Researcher Profile: First Stage Researcher (R1) Positions: PhD Positions Country: Spain Application Deadline: 31 Jan 2025 - 12:00 (Europe/Madrid) Type of Contract: Temporary Job Status: Full-time Hours Per Week: 40 Offer Starting Date: 31 Mar 2025 Is the job funded through the EU Research Framework Programme?
Horizon 2020 Reference Number: 101120297 Is the Job related to staff position within a Research Infrastructure?
No Offer Description IQUADRAT INFORMATICA S.L (IQU) is a technology company founded in 1997, focusing on delivering System-Level evaluation tools for wireless networks.
IQU R&D provides global solutions and services in the use of Internet and Telecommunications to companies and institutions utilizing information and communication technologies in commercial, marketing, management, and business communication areas.
IQU's R&D has a focused business plan aimed at delivering a new generation of research tools for system-level evaluation of wireless integrated communication systems.
The R&D department is involved in numerous National and EU-funded research projects, with extensive expertise in 5G/6G communication platforms, IoT platforms, and Demand Response algorithms for the Smart Grid.
IQU's R&D department is looking for three Doctoral Candidates in the framework of the Marie Curie Doctoral Network EXACT-6G, funded by the European Commission.
More information on this project can be found at EXACT6G.
The Doctoral Network is led by IQUADRAT and includes top European partners in the field such as ISI Athena, EUR-EURECOM GIE, UO-OULUN YLIOPISTO, GNW-GREENERWAVE, and NOK-NOKIA NETWORKS FRANCE.
EXACT6G is a newly launched Marie Sklodowska-Curie Doctoral Network offering fifteen (15) PhD positions across eight European countries.
The project aims to develop a breakthrough converged optical-wireless architecture to achieve an efficient 6G Cell-Free (CF)-based access network, enabling a peak data rate of 1 Tb/s and deployments with over 107 devices/km2, supporting advanced user services (e.g., holographic telepresence, advanced AR/VR, massive digital twinning, flying networks, etc.).
Minimum Requirements Must hold a Master's in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics, or a related field Track record of research excellence Good communication skills Please include your internship availability in your application Specific Requirements Candidates must also meet the following criteria: Be in the first four years (full-time equivalent research experience) of their research careers; Be of any nationality, but not having resided or carried out their main activity in the host institution's country for more than 1 year in the past 3 years; Have not yet been awarded a PhD degree.
Languages: ENGLISH Level: Good Additional Information The Doctoral Candidates (DC) enrolments come with attractive employment conditions and competitive salaries offered in Marie Curie Doctoral Networks.
Selected DCs will join top-class research groups and have a unique opportunity to pursue a career in wireless communications and networking.
Working on this ambitious research project could lead to the successful completion of a doctoral degree, alongside a strong joint multidisciplinary research training program in wireless and optical networks.
The planned mobility among eight EU countries and ten institutions is a significant advantage of these job positions.
Selection Process You should submit your CV through a dedicated site: Positions Position 1: Intra-DIMO CEC resource discovery, prediction, and composition This position focuses on developing advanced methods for identifying, forecasting, and optimizing resource use in distributed 6G networks, creating algorithms for dynamic resource management in Collaborative Edge Computing (CEC) environments.
The aim is to improve the efficiency, scalability, and performance of 6G systems through intelligent, adaptive resource coordination.
Position 2: Intra-DIMO CEC resource discovery, prediction, and composition This position targets developing advanced methods for identifying, forecasting, and optimizing resource use in distributed 6G networks, creating algorithms for dynamic resource management in Collaborative Edge Computing (CEC) environments.
The aim is to improve the efficiency, scalability, and performance of 6G systems through intelligent, adaptive resource coordination.
Position 3: Pervasive orchestration algorithms for self-synthesized continuum infrastructures This position focuses on developing algorithms that autonomously manage and optimize distributed computing resources across cloud, edge, and IoT environments, enabling seamless, self-adaptive orchestration for improved efficiency, scalability, and fault tolerance in dynamic infrastructures.
The ultimate goal is to create systems that can intelligently self-configure and adjust to changing demands without manual intervention, enhancing performance across diverse digital layers.
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