Third-cycle subject: Information and Communication Technology
Global connectivity relies heavily on terrestrial fiber-optic cables, but their physical vulnerabilities, high installation costs, and sustainability concerns demand a fresh approach. Space-Air-Ground Integrated Networks (SAGIN) offer a solution by fusing space, air, and ground nodes for seamless, ubiquitous coverage. Because light travels roughly 1.5 times faster in space than through fiber cables, modern low-Earth-orbit (LEO) mega-constellations can deliver low-latency, secure, and high-capacity redundancy that rivals traditional ground networks.
In this doctoral project, you will contribute to the evolution of SAGIN, focusing specifically on dual-tier space-ground integrated networks. The goal is to develop the architectural concepts and AI frameworks needed to deliver reliable, low-latency communications across satellite mesh networks. A core hypothesis of this project is that introducing automation and network-aware coordination can overcome the vulnerabilities of manual operations, mitigating the severe impacts of orbital dynamics, space weather, and altitude densification. Methods from satellite communication theory, network optimization, and machine learning will play a vital role. The research will be highly theoretical and algorithmic, focused on the optimization of thousands of dynamic communication nodes.
You will work at the Department of Communication Systems at the EECS school. The research is connected to the SMART 6GSAT research center (financed by the Swedish Foundation for Strategic Research).
Supervision: Irem Bor-Yaliniz, Cicek Cavdar, Emil Björnson is proposed to supervise the doctoral student. Decisions are made on admission
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
After the qualification requirements, great emphasis will be placed on personal skills.
Tagged as: Engineering, Physics
Doctoral Student (Licentiate) in Artificial Intelligence for Earth Observation KTH Royal Institute of Technology, School of Architecture and Built Environment...
ApplyDoctoral Student In Models, Algorithms, And Optimization For Machine Learning We invite applications from talented and highly motivated candidates to...
ApplyDoctoral Student in Optimal Transport for Machine Learning KTH Royal Institute of Technology, School of Engineering Sciences Project Description Third-cycle...
ApplyDoctoral Student In Deep Learning For Biological Systems The School of Electrical Engineering and Computer Science at KTH is seeking...
ApplyDoctoral Student (Licentiate) in Digital Metallurgy Third-cycle subject: Engineering materials science The steel industry is undergoing a major transition toward...
ApplyDoctoral Student In Molecular Programming KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Project...
ApplyPlease visit www.kth.se.
Don't forget to mention that you found the position on jobRxiv!
