People Manager Región Cantabria - País Vasco

Descripción del trabajo

The Networks Data Science group at IMDEA Networks Institute has openings for two PhD students in the area of mobile network intelligence.

The first position aims at designing original AI solutions for the automation of network functionalities to be deployed in next-generation 6G systems. The focus of the studies will be on surpassing practical limitations that affect today’s AI paradigms and hinder their adoption in production-grade mobile network infrastructures. The PhD student will leverage privileged access to Terabytes of measurements from leading operators to (i) understand the very specific challenges of learning from network traffic and (ii) train original AI models that are designed to operate precisely on such data and overcome the identified challenges. The student is expected to implement the AI models in emerging network architectures and to demonstrate their viability in production systems under real-world network deployments and traffic loads, therefore contributing to the history of breakthroughs achieved by the NDS group in the development of AI for anticipatory mobile network operation.

The second position will focus on analyzing massive Key Performance Indicators (KPIs) and service-level demands collected in operational 4G / 5G networks, and drawing insights on their dynamics and long-term evolution as the 5G technology becomes more pervasive in terms of both deployment and user adoption. Novel tools from Generative AI will be explored to model the observed spatiotemporal patterns of user demands and produce reliable open datasets. For all such activities, the PhD student will enjoy privileged access to Terabytes of large-scale measurements from leading operators, to an Apache Spark platform with substantial big data processing capabilities, and to high-end GPU servers. The candidate is expected to contribute to the long track record of the group in producing new knowledge of and modeling approaches for the spatial, temporal and service-level dynamics of real-world mobile traffic, along with their implications for production-grade network operations and beyond.

Both positions offer:

• hands-on training in applied AI for next-generation mobile network systems
• a unique opportunity to work with large-scale real-world measurement data
• the possibility to interact and collaborate with major telco industry players
• a vibrant, collaborative, multi-cultural and English-speaking environment
• the prospect to publish at top-tier venues in networking
• an advantageous path to a successful career in industry or academia
• the high quality of life of the region of Madrid, Spain, where we are based.

The positions require:

• a degree in Computer Science or related field, with a solid academic record
• excellent programming skills
• a strong interest in applied AI (prior experience is a plus)
• a strong interest in traffic data analysis (prior experience is a plus)
• fluency in written and spoken English
• enthusiasm for interdisciplinary research.

Inquiries on the position can be directed to the thesis supervisor, Dr. Marco Fiore, via email at.

Candidates shall submit by the call deadline a CV, a motivation letter, and the contact details of two references through the IMDEA Networks Institute hiring portal.