ML-enhanced distributed sensing and communication in multi-RIS augmented wireless propagation environments
Hosted by and enrolled in the Doctoral Program at Technische Universität Wien
Contract Duration: 36 months
PhD Title: ML-enhanced distributed sensing and communication in multi-RIS augmented wireless propagation environments
Description
The objective of this research project is to enhance communication and sensing capabilities in multi-RIS augmented wireless propagation environments by applying advanced machine learning (ML)-based signal processing techniques. Single RIS deployments, constrained by coarse phase quantisation and limited observation coverage, provide limited support for sensing applications. However, fusing even coarse observations from multiple distributed RISs has the potential to provide remarkably accurate and robust sensing capabilities, even in non-line-of-sight propagation scenarios. The primary objective of this research is to harness the power of multi-RIS augmented ISAC systems by integrating ML-enhanced signal processing methods to combine sensing data from base stations with complementary information from the RISs, such as their optimised phase configurations. This research focuses on ultra-wideband transmissions, considering the frequency-selective nature of real-world RIS responses, which provide high temporal resolution. It will also explore the latest technological advances in RIS, including non-diagonal RIS and STAR-RIS. The project also targets high-mobility scenarios in vehicular and UAV-based networks, addressing the unique challenges posed by these dynamic environments.
Eligibility Requirements
- The candidate must not have been awarded a PhD Degree.
- A Master’s Degree is required in Electrical Engineering, Computer Science, Telecommunications, or a related field.
- Candidates must not have resided in Austria for more than 12 months within the three years preceding their employment start date. Additionally, for the remainder of this period, candidates must provide evidence of residing outside Austria.
- Proficiency in written and spoken English is required and must be formally demonstrated.
- Knowledge of scientific work methods and interest in academic research and teaching.
- Expertise in one or more of the following disciplines: Telecommunications, Machine Learning, Signal Processing, Mathematical Optimization.
- Proficiency in programming and simulating wireless communication systems, especially with Matlab and/or Python.
- Teamwork, problem-solving skills, and innovation capability.
Required Documents
- Application Form
- Curriculum Vitae (CV).
- Letter of motivation.
- Certificate(s) of Bachelor’s Degree(s), with an official English translation if issued in a different language.
- Academic transcripts for undergraduate studies, with official English translations if issued in a different language.
- Certificate(s) of Master’s Degree(s), with an official English translation if issued in a different language.
- Academic transcripts for postgraduate studies, with official English translations if issued in a different language.
- A copy of the Master’s thesis.
- At least two recommendation letters.
- Certificate of English language proficiency.
- Copies of publications (if any) in scientific journals and conference proceedings.
- Any relevant extracurricular certificates demonstrating proficiency in programming languages, as well as prior experience in wireless communications, signal processing, and machine learning.
Submission Deadline: April 10, 2025 May 15, 2025
Applications for this position must be submitted as a single ZIP file, using the naming convention firstname_lastname.zip, at: https://owncloud.tuwien.ac.at/index.php/s/GB82lHp8WMc1D4j
Additionally, applicants should send an email containing only a brief cover letter, without any attachments, to Prof. Stefan Schwarz: stefan.schwarz (at) tuwien (dot) ac (dot) at