Host: RWTH Aachen University, Germany
Main supervisor: Prof. M. Petrova [RWTH]
Co-supervisors/mentors: Prof. S. Pollin [KUL] & Dr. L. Simić [RWTH], and Dr. B. Adams [XYZT]
Required profile: Electrical Engineering, Telecommunications Engineering, Computer Science or equivalent disciplines
Desirable skills/interests: Deep learning, tiny machine learning, TensorFlow lite micro, embedded system, wireless communications (the applicant should be proficient in at least two of the skills).
Objectives:
To study and identify enablers for realising and integrating a sensing functionality in the future RAN and disaggregated components. Study techniques for both data-driven and predictive dynamic spectrum allocation and sharing. To identify how to integrate spectrum sensing mechanisms in telecom edge infrastructure.
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)