A postdoctoral position is available at United Arab Emirates University in the Departments of Electrical and Communication Engineering, focusing on embedded systems and artificial intelligence for biomedical applications. The research aims to develop machine learning edge accelerators for wearable health monitoring devices, including the design and implementation of embedded systems for recording vital signals such as EEG, PPG, and ECG. The project seeks to enable real-time health monitoring and on-device machine learning, optimizing hardware accelerators for wearable health sensors under strict power and size constraints. The successful candidate will contribute to innovative healthcare solutions, including mental health monitoring, and will participate in advising MSc and PhD students as well as manuscript writing for scientific journals and conferences. Applicants must hold a PhD or equivalent in electrical engineering, computer engineering, or computer sciences, with prior experience in machine learning, embedded systems, and edge devices. A strong research background in biomedical engineering using embedded systems and machine learning is essential, along with a proven publication record in relevant IEEE journals and conferences. Hands-on experience with MCUs and FPGAs, as well as designing and synthesizing AI models on FPGA or deploying AI models on MCUs, is required. The position offers a competitive salary according to international standards and UAEU regulations, opportunities to participate in international conferences, and access to a strong international scientific network within a supportive and multicultural environment. Interested candidates should apply online via the provided application link and submit a detailed CV before the closing date of May 31, 2026. The position is supervised by Professor Mohamed Atef and is based in Abu Dhabi, United Arab Emirates. Research keywords include embedded systems, artificial intelligence, biomedical applications, machine learning, edge accelerators, and wearable health monitoring.

A PhD position is available at United Arab Emirates University (UAEU) under the supervision of Professor Mohamed Atef. The research focuses on the application of embedded systems and artificial intelligence (AI) for biomedical applications. The successful candidate will join an interdisciplinary research unit, working with a young and motivated team in an international scientific network. The position involves designing and synthesizing AI models on FPGA or deploying them on MCU, conducting high-quality research, writing journal papers, and presenting results at international conferences. Applicants must have a master's degree in electrical and electronics engineering, computer engineering, biomedical engineering, or an equivalent field, with both MSc and BSc GPAs above 3.0 on a 4.0 scale. Experience with MCU and FPGA is required, along with motivation, initiative, flexibility, and the ability to work in an international team. Proficiency in English is necessary, demonstrated by an official IELTS certificate with a score of 6.5 or higher. The position offers a good salary according to international standards and UAEU rules, opportunities to participate in international conferences, and a supportive, friendly work environment. The application deadline is February 15, 2026. Required documents include an updated CV, certified copies of degree certificates and transcripts, IELTS certificate, two letters of recommendation, a statement of research experience and interest, published research papers, and MSc thesis dissertation. To apply, send all required documents to Dr. Mohamed Atef at [email protected]. For more information, refer to the LinkedIn profile provided.

A fully funded PhD position is available at United Arab Emirates University (UAEU) under the supervision of Professor Mohamed Atef. The research focuses on the application of embedded systems and artificial intelligence (AI) for biomedical applications, with an emphasis on the design and synthesis of AI models on FPGA or deployment on MCU. The successful candidate will join an interdisciplinary and international research team, participate in high-quality research projects, and have opportunities to present at international conferences. Applicants should have a master's degree in electrical and electronics engineering, computer engineering, biomedical engineering, or a closely related field, with both MSc and BSc degrees having a minimum cumulative GPA of 3.0 on a 4.0 scale or equivalent. Experience with microcontroller units (MCU) and field-programmable gate arrays (FPGA) is required. Candidates must also demonstrate motivation, initiative, flexibility, and the ability to work in an international team. An official IELTS certificate with a score of 6.5 or higher is required. The position offers a competitive salary according to international standards and UAEU rules, as well as participation in international conferences, access to a young and motivated research team, and a friendly, international work environment. The PhD thesis will be conducted at UAEU, starting from August 2026. To apply, candidates should send their application documents, including an updated CV, certified copies of BSc and MSc degree certificates and transcripts, IELTS certificate, two letters of recommendation, a statement of research experience and interest, published research papers, and MSc thesis dissertation to Dr. Mohamed Atef at [email protected]. The application deadline is 15 February 2026. Keywords: Embedded Systems, Artificial Intelligence, Biomedical Applications, FPGA, MCU, Electrical Engineering, Computer Engineering, Biomedical Engineering.