The University of Dubai is seeking a Postdoctoral Researcher to join the SAIN-DT project, focusing on Semantic AI Navigation with Digital Twins and Hyper-Precision Localization for Smart Indoor Mobility. This three-year, full-time position is funded by the Dubai Research, Development and Innovation (RDI) Program. The project aims to develop and validate an autonomous indoor drone navigation system for GPS-denied environments, integrating advanced robotics, artificial intelligence, and digital twin technologies. The successful candidate will work on designing, integrating, and testing an autonomous indoor drone platform, developing and maintaining ROS/ROS2-based flight control and navigation software, and implementing indoor localization and sensor fusion using UWB, ultrasonic, IMU, and onboard sensors. The role also involves integrating a Jetson-based edge AI stack for real-time decision-making, utilizing digital twin-enabled simulation for mission rehearsal and validation, and conducting indoor experimental testing and evaluation. Additional responsibilities include documentation, publication, mentoring graduate research assistants, and collaborating with academic and industry partners. The project team includes Prof. Yassine Himeur (University of Dubai), Prof. Shadi Atalla (University of Dubai), Prof. Amjad Gawanmeh (University of Dubai), Dr. Hamzah A. (University of Dubai), Prof. Wathiq Mansoor (American University of Baghdad), and Prof. Amin Beheshti (Macquarie University, Australia). The research environment is highly collaborative and interdisciplinary, offering opportunities to work with leading experts in robotics, AI, and smart mobility. Applicants must have a PhD in Robotics, AI, Computer or Electrical Engineering, or a related field, with a strong background in UAV/autonomous systems, ROS/ROS2, Linux, indoor localization, sensor fusion, and digital twins. Experience with NVIDIA Jetson, edge AI deployment, simulation environments, cyber-physical systems, and probabilistic estimation methods is desirable. To apply, candidates should message Prof. Yassine Himeur on LinkedIn with a short summary and CV, or apply via the University of Dubai Careers portal. This is an excellent opportunity for researchers passionate about robotics, AI, and smart indoor mobility to contribute to cutting-edge advancements in the field.

The University of Dubai’s College of Engineering & IT is seeking a full-time Postdoctoral Researcher to join the SYNERGY-PD project, an AI-powered digital twin initiative for Parkinson’s Disease diagnostics funded by the Dubai Future Foundation RDI Grant. The project aims to develop precision diagnostics and monitoring tools for Parkinson’s Disease by integrating biomarker analytics, advanced AI modeling, and real-time patient simulations. The successful candidate will work on biomarker analytics (including α-synuclein isoforms and neuron-derived extracellular vesicles), AI pipelines for multimodal data integration (with Agentic AI approaches), and the development of patient-specific digital twins for real-time simulation and calibration. The role also involves validation with clinical partners using UPDRS scoring and DaTscan imaging, as well as contributing to high-impact publications and patent filings. The research team is led by Associate Professor Yassine Himeur (University of Dubai), with co-PI Prof. Shadi Atalla and international collaborators including Prof. Amin Beheshti (Macquarie University, Australia), Prof. Fayçal Bensaali (Qatar University), Dr. Ammar Albanna (Alamal Psychiatric Hospital, Dubai), and Prof. Wathiq Mansoor (American University of Baghdad, Iraq). The position offers the opportunity to collaborate with top researchers and clinicians, access advanced labs and datasets, and contribute to pioneering digital twin technologies for neurological disorders. Applicants should have a PhD in Computer Science, Computer Engineering, Biomedical Engineering, Neuroscience, AI in Healthcare, Bioinformatics, or a related field. Required skills include molecular biomarker analysis, machine learning, clinical data fusion, and proficiency in Python, R, MATLAB, or similar tools. Experience with clinical data interpretation, neuroimaging, and AI modeling is highly valued. Strong scientific writing, presentation, and collaboration skills are essential, along with an interest in clinical translation and healthcare impact. The position is fully funded for three years, with applications open until filled. To apply, submit your CV and cover letter to the College of Engineering and IT via the University of Dubai careers website. For more information, visit the provided application link or contact [email protected].

The University of Dubai is seeking a full-time Postdoctoral Researcher to join the SYNERGY-PD project, an AI-powered digital twin initiative for precision diagnostics and monitoring of Parkinson’s Disease. This project, funded by the Dubai Future Foundation RDI Grant, is led by the College of Engineering and IT and brings together a multidisciplinary team of international collaborators. The research focuses on biomarker analytics, including α-synuclein isoforms and neuron-derived extracellular vesicles, and the development of advanced AI pipelines for multimodal clinical data integration using Agentic AI approaches. The successful candidate will contribute to the design and real-time simulation of patient-specific digital twins, coordinate validation with clinical partners using UPDRS scoring and DaTscan imaging, and co-author high-impact publications and patents. Supervisors and collaborators include Associate Professor Yassine Himeur (University of Dubai), Professor Shadi Atalla (University of Dubai), Professor Amin Beheshti (Macquarie University, Australia), Professor Fayçal Bensaali (Qatar University), Dr. Ammar Albanna (Alamal Psychiatric Hospital, Dubai), and Professor Wathiq Mansoor (American University of Baghdad, Iraq). The project offers access to advanced labs, datasets, and dissemination platforms, and the opportunity to work at the intersection of AI, neuroscience, and clinical research. Applicants must have a PhD in Computer Science, Computer Engineering, Biomedical Engineering, Neuroscience, AI in Healthcare, Bioinformatics, or a related field. Required skills include molecular biomarker analysis, machine learning, clinical data fusion, and proficiency in Python, R, or MATLAB. Strong scientific writing, presentation, and collaboration skills are essential. The position is fully funded for three years, with a competitive salary and research support. Applications are open until February 25, 2026, or until the position is filled. To apply, submit your CV and cover letter via the University of Dubai College of Engineering and IT careers website. For more information, contact [email protected].