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PhD in Hybrid RF and optical wireless networks to optimize wireless services


Job Location:

Eindhoven - Netherlands

Monthly Salary: Not provided by the employer
Posted: 17 July 2026 (30+ days ago)
Application Deadline: 14 October 2026
Vacancies: 1 Vacancy

Job Summary

Departments Department of Electrical Engineering
Introduction

Are you fascinated by the idea that networks will adapt themselves with your needs without your intervention Join us on this research project in close collaboration with several high-tech companies to develop and demonstrate the next generation hybrid RF and optical wireless communication networks. You will be working within the newly granted The Netherlands Growth Fund 6G-FNS (Future Networks and Services) Phase 2.

Job Description

Future wireless networks should no longer force users to adapt to the network. Instead the network should continuously adapt itself to the users intelligently orchestrating radio-frequency (RF) and optical wireless (OWC) resources to provide the best possible service for every application. Whether supporting immersive extended reality industrial automation autonomous systems or AI-enabled devices future 6G networks must dynamically balance throughput latency reliability and energy efficiency according to users needs and changing network conditions.

Meeting these demands requires a new networking paradigm. RF communication offers ubiquitous coverage and reliable mobility whereas optical wireless communication provides fiber-like capacity ultra-low latency and immunity to electromagnetic interference. Rather than treating these technologies as competing alternatives this project explores how they can operate as complementary technologies within a unified hybrid network allowing traffic to be intelligently routed over the most suitable wireless link at any moment.

In this PhD project you will develop novel concepts for intelligent hybrid RFOWC networks that optimize wireless service delivery in real time. Research topics include adaptive resource allocation AI-driven network orchestration dynamic beam steering joint communication and sensing and cross-layer optimization. Machine learning techniques will be investigated to predict traffic demand user mobility and network conditions enabling autonomous decision-making that maximizes network performance and user experience.

A unique aspect of this research is the integration of photonic technologies into future wireless infrastructures. You will investigate how photonic integrated circuits can enable scalable and energy-efficient signal generation beamforming distribution and control for hybrid wireless networks. By combining photonic hardware with artificial intelligence the project aims to demonstrate a new class of adaptive communication systems capable of supporting future 6G and beyond.

The project combines analytical modelling system simulation photonic integrated circuit design machine learning and experimental validation using state-of-the-art communication testbeds. It offers a unique opportunity to work at the intersection of wireless communications integrated photonics networking and artificial intelligence contributing to technologies that will shape the next generation of intelligent wireless systems.

Job Requirements
  • A masters degree (or an equivalent university degree)in electrical engineering or applied physics or similar.
  • Strong affinity for optical and/or wireless communication techniques.
  • Familiar with optical and electronic laboratory measurement equipment optical fiber system setups and components electronic circuits as well as programming skills.
  • Background in telecommunication systems and general knowledge about wireless channel modelling and component design. Knowledge of integration technologies is appreciated
  • Ability to work in an interdisciplinary team and interested in collaborating with industrial partners.
  • Motivated to develop your teaching skills and coach students.
  • Fluent in spoken and written English (C1 level).
Conditions of Employment

A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you:

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!


About us

We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact today and in the future. TU/e is home to over 13000 students and more than 7000 staff forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven a worldleading tech region with more than 7000 hightech companies and strong R&D activity. Known for breakthroughs in AI photonics semiconductors and advanced manufacturing Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

The mission of the Department of Electrical Engineering is to acquire share and transfer knowledge and understanding in the whole field of Electrical Engineering through education research and valorization. We work towards a Smart Sustainable Society a Connected World and a healthy humanity (Care & Cure). Activities share an application-oriented character a high degree of complexity and a large synergy between multiple facets of the field.

Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.

The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.

Information

Do you recognize yourself in this profile and would you like to know more Please contact the hiring manager Eduward Tangdiongga .

Visit our website for more information about the application process. You can also contact HR Services .

Curious to hear more about what its like as a PhD candidate at TU/e Please view the video.

Are you inspired and would like to know more about working at TU/e Please visit our career page.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note
  • You can apply online. We will not process applications sent by email and/or post.
  • A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check please consult the National Knowledge Security Guidelines.
  • Please do not contact us for unsolicited services.

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