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Ingrid Moerman

Professor at Ghent University

Ghent University

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Belgium

Has open position

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Research Interests

Polymer Chemistry

10%

Electrical Engineering

30%

Computer Science

30%

Information Technology

30%

Software-defined Radio

20%

Chip Design

10%

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Positions3

Publisher
source

Ingrid Moerman

University Name
.

Ghent University

PhD Researcher in Next-Generation WiFi Chip Design on Software-Defined Radio

Ghent University, a leading European institution, is offering a fully funded PhD position in next-generation WiFi chip design on Software-Defined Radio within the renowned IDLab research group, part of the Faculty of Engineering and Architecture. IDLab is a core research group of imec, specializing in connectivity, data science, and artificial intelligence, and collaborates extensively with academic and industry partners worldwide. The research team for this position focuses on Intelligent Wireless Networking, addressing real-world challenges in wireless systems for professional applications where stable quality of service, bounded latency, and guaranteed packet delivery are essential. The successful candidate will join the Software-Defined Radio team to develop innovative solutions for improving Wi-Fi performance and efficiency. Research topics include enhancing WiFi design for distributed MIMO and coordinated multi-AP operation, contributing to Wi-Fi 8 standardization efforts. The work involves using Hardware Description Language on FPGA platforms, leveraging the open-source openwifi project ( openwifi ), and designing higher networking layer functionality and drivers in Linux environments. The project combines theoretical design with experimental validation, including prototyping in IDLab’s advanced test labs and considering use cases such as industry 4.0, mission-critical applications, and professional multimedia. Throughout the PhD, you will publish and present research at international conferences and in scientific journals, participate in national and European research projects, and collaborate with industry partners. Limited educational tasks within the research group are also expected. The position offers a full-time doctoral fellowship for up to 48 months, with an initial 12-month contract extendable upon positive evaluation. The fellowship provides a competitive, tax-free salary determined by family status and seniority, plus comprehensive staff benefits including training opportunities, generous holiday leave, bicycle allowance, and eco vouchers. Applicants must hold (or be close to completing) a Master’s degree in Computer Science Engineering, Information Engineering Technology, Computer Science, Electrical Engineering, Telecommunication, or a related field. Essential qualifications include a strong theoretical background in MIMO, Information Theory, Signal and Systems, Modulation and Detection, and experience with OFDM or single carrier baseband algorithms. Familiarity with at least one Hardware Description Language and FPGA programming is required; hands-on experience with Vivado, knowledge of C/C++, and understanding of Wi-Fi standards (especially MIMO or OFDMA) are advantageous. Fluency in English is mandatory. To apply, submit your application online via the provided form, including a personal letter, CV, two reference contacts, and a copy of your diploma (if available). Selected candidates will be invited for an interview, with remote options for international applicants. For further information, contact Prof. Ingrid Moerman, Dr. Xianjun Jiao, or Dr. Wei Liu by email.

1 year ago

Publisher
source

Adnan Shahid

University Name
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Ghent University

PhD Position in AI-Driven Resilient RAN Optimization for 6G and O-RAN Architectures (Department of Information Technology)

Ghent University, a top-ranked institution in Belgium, is offering a full-time PhD position in the Department of Information Technology, specifically within the IDLab research group. The research will focus on AI-driven resilient Radio Access Network (RAN) optimization for 6G and O-RAN architectures. The IDLab group is renowned for its work in connectivity, data science, and artificial intelligence, and collaborates with leading universities, research centers, and industry partners worldwide. The research cluster on Intelligent Wireless Networking (IWINE) provides a unique infrastructure for advanced wireless research. This doctoral project aims to develop and validate intelligent radio resource management (RRM) mechanisms to ensure resilient connectivity in next-generation cellular networks. The main focus is on Open-RAN (O-RAN) frameworks and 6G, addressing challenges such as adversarial disruptions, jamming, interference, infrastructure failures, and spectrum scarcity. The candidate will explore agentic AI and reinforcement learning-based control for adaptive spectrum usage, power control, scheduling, and multi-RAT coordination, integrating terrestrial and non-terrestrial networks (including satellite and Wi-Fi). Key tasks include studying state-of-the-art techniques in O-RAN wireless networks, designing robust RAN optimization strategies, developing proactive spectrum management and mitigation solutions, and implementing decentralized, self-healing control loops using advanced AI/ML technologies. The candidate will validate these mechanisms through simulation tools and in-house wireless testbeds, contribute to high-quality publications, and assist in educational and mentoring activities within the research group. Applicants must hold (or soon obtain) a Master’s degree in Computer Science Engineering, Information Engineering Technology, Electrical Engineering, or a related field. Essential qualifications include a strong background in wireless and mobile networks, machine learning (especially reinforcement learning), network resilience, robust optimization, and wireless security. Excellent coding skills in Python and C++, familiarity with wireless network simulation tools (such as ns-3), and strong analytical and mathematical abilities are required. Candidates must be fluent in English (C1 CEFR level) and demonstrate teamwork and communication skills. The position offers a doctoral fellowship for up to 48 months, with net salary determined by family status and seniority, and is tax-free. Ghent University provides a range of staff benefits, including training opportunities, generous holiday leave, bicycle allowance, and eco vouchers. The application deadline is September 30, 2026. Interested candidates should apply online, submitting a motivation letter, CV, reference contacts, diploma copy, and transcripts. For further information, contact Prof. Adnan Shahid, Prof. Ingrid Moerman, Dries Naudts, or Dr. Vasilis Maglogiannis by email. For more details about the research group and project, visit IDLab and IWINE . Apply directly via the application portal .

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