Diana W. Dawoud
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Postdoctoral Fellow and AI Scientist in Optical Wireless Communications, LiFi, and Lightweight AI/ML at University of Dubai University of Dubai in United Arab Emirates
Degree Level
Postdoc
Field of study
Computer Science
Funding
The positions are part of a 3-year RDI research project at the University of Dubai. The Postdoctoral Fellow is a full-time, funded position. The AI Scientist role is part-time and project-based. Specific stipend amounts and tuition coverage are not mentioned.
Deadline
Feb 25, 2026
Country
United Arab Emirates
University
University of Düsseldorf

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About this position
The University of Dubai is seeking candidates for two research positions as part of a 3-year RDI research project focused on LiFi, optical wireless communications, and lightweight AI/ML for adaptive systems. The project is a collaboration involving Prof. Diana W. Dawoud (University of Surrey), Prof. Harald Haas, and Prof. Boon Ooi, and aims to advance the state-of-the-art in optoelectronic receiver design and AI-driven system adaptation.
Postdoctoral Fellow (Optoelectronic Receiver Design for Solar-Powered LiFi / Dual-Mode Photodetectors): The postdoctoral fellow will lead R&D on optoelectronic receiver hardware for a solar-powered optical wireless communication platform. Responsibilities include designing and prototyping a dual-mode photodetector array, developing front-end electronics, and establishing laboratory workflows for electro-optical characterization. The fellow will also support system integration, collaborate with the AI/software team, and contribute to technical reporting and publications. Applicants must have a PhD in Electrical Engineering, Photonics, Optoelectronics, Optical Communications, or a related field, with hands-on experience in photodetectors, lab instrumentation, and data analysis using Python or MATLAB.
AI Scientist (Lightweight ML for SLIPT Control and Adaptive Optical Wireless Systems): The AI Scientist will provide part-time, specialized support for the design, training, and optimization of lightweight machine learning models enabling SLIPT control, adaptive modulation, and environment-aware prediction. The role involves dataset preprocessing, model prototyping, benchmarking, and collaboration with hardware teams. Candidates should have a PhD or MSc in Machine Learning, Computer Engineering, Data Science, or a related discipline, with strong Python-based ML skills and experience in lightweight modeling techniques.
Both positions are funded as part of the RDI project, with the postdoctoral fellow being a full-time role and the AI Scientist a part-time, project-based position. The application deadline is February 25, 2026. For more information or to apply, candidates should use the University of Dubai career portal links or contact Prof. Diana W. Dawoud via LinkedIn. The project offers an excellent opportunity to work at the intersection of optical wireless communications, AI, and hardware systems, with collaboration across leading academic and industry partners.
Funding details
The positions are part of a 3-year RDI research project at the University of Dubai. The Postdoctoral Fellow is a full-time, funded position. The AI Scientist role is part-time and project-based. Specific stipend amounts and tuition coverage are not mentioned.
What's required
Applicants for the Postdoctoral Fellow position must hold a PhD in Electrical Engineering, Photonics, Optoelectronics, Optical Communications, or a closely related discipline, with demonstrated expertise in photodetectors, optoelectronic devices, receiver design, and experimental characterization. Strong hands-on experience with lab instrumentation, measurement automation, and proficiency in Python and/or MATLAB are required. A track record of publishing in reputable venues and the ability to work independently on complex experimental R&D are expected. For the AI Scientist role, a PhD or MSc in Machine Learning, Computer Engineering, Data Science, or a closely related discipline with demonstrated applied experience is required. Proficiency in Python-based ML workflows, lightweight modeling techniques, and strong communication skills for cross-disciplinary collaboration are essential.
How to apply
Apply via the provided University of Dubai career links for each position. Interested candidates may also contact Diana W. Dawoud via LinkedIn for more information. Ensure your application includes all required documents and highlights relevant experience.
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