Host: APEIROON, Italy
Main supervisor: Prof. F. Granelli [UNITN]
Co-supervisors/mentors: Mr. Antonio Fin [APEIROON, Prof. M. Matinmikko-Blue [OULU]
Required profile: Telecommunication engineering, applied mathematics, electrical engineering, and computer science.
Desirable skills/interests: Signal processing, machine learning, applied optimisation, wireless network management, and interest in robotic communication systems or networked autonomous systems for public safety.
Objectives:
To investigate the prioritisation and reliability network hardening strategies for PPDR scenarios, including heterogeneous communication environments integrating both human and robotic agents. To propose a network orchestration framework coordinated with the spectrum slicing protocols for efficient provisioning of network slices that can dynamically support mission-critical users and networks of autonomous robots (e.g., drones, ground units) assisting in emergency and disaster-relief operations.
What SpecX Offers:
- Attractive and competitive salary in accordance with the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network regulations
- Additional family allowance (if applicable) and dedicated budget for research and training costs
- PhD funding for 36 months through the MSCA network (with potential for additional funding depending on host institution and national regulations)
- Opportunity to pursue a PhD degree at a leading European university within a collaborative, international network
- Comprehensive training programme including research-specific and transferable skills courses
- Opportunities for internships, secondments, and collaboration within academia and industry partners across Europe
- Active participation in workshops, conferences, and network-wide events to build professional and scientific connections
- Stimulating, multidisciplinary, and international research environment within a prestigious European training network
Deadline for online application: January 30, 2026 (but candidates are encouraged to apply as soon as possible)