The Artificial Intelligence, Robotics and Connected Infrastructure (ARC) Research Center at the American University of Sharjah invites applications for a Postdoctoral Researcher position in AI-enabled wireless communications and integrated sensing and communications (ISAC) for future 6G networks. The successful candidate will contribute to cutting-edge research in high-altitude platform station (HAPS)-assisted ISAC, intelligent wireless networks, and AI-driven optimization while collaborating with faculty members and graduate researchers.

Job Responsibilities

• Develop advanced signal processing, optimization, and AI/machine learning algorithms for next-generation wireless communication and sensing systems.
• Conduct research on HAPS-enabled ISAC, UAV-assisted networks, joint beamforming, and intelligent resource allocation.
• Develop analytical models, simulation frameworks, and performance evaluation tools using MATLAB and Python.
• Publish high-quality journal papers and present research findings at different meetings.
• Collaborate with faculty members and supervise or mentor graduate research students.

Qualifications and Skills Required

• Applicants must hold a PhD in Electrical Engineering, Telecommunications, or a closely related discipline awarded within the past five years from a highly ranked, internationally recognized university.
• Demonstrated expertise in both wireless communications and AI/machine learning is mandatory.
• Proficiency in MATLAB and Python for algorithm development, modeling, and simulation.
• Proven research experience in both wireless communications and artificial intelligence/machine learning, demonstrated through high-quality publications in reputable journals and conferences.
• Experience in mathematical modeling, numerical optimization, algorithm development, wireless system simulation and quick prototyping.
• Strong publication record in wireless communications, signal processing, optimization, and/or AI-enabled communication systems.
• Solid knowledge of MIMO systems, beamforming, wireless resource allocation, and machine learning algorithms.
• Knowledge of ISAC, HAPS, UAV communications, non-terrestrial networks, reinforcement learning, or mobile edge computing is highly desirable.
• Excellent analytical, mathematical, and problem-solving skills.
• Strong technical writing, communication, and collaboration skills, with the ability to conduct independent research.
• MATLAB and Python programming for numerical analysis, algorithm development, and simulation.
• Mathematical optimization, wireless system modeling, and performance evaluation.

How to Apply

• Interested applicants should fill out the form .
• AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted.
• AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one s qualifications.

Desired Candidate Profile

• Applicants must hold a PhD in Electrical Engineering, Telecommunications, or a closely related discipline awarded within the past five years from a highly ranked, internationally recognized university.
• Demonstrated expertise in both wireless communications and AI/machine learning is mandatory.
• Proficiency in MATLAB and Python for algorithm development, modeling, and simulation.
• Proven research experience in both wireless communications and artificial intelligence/machine learning, demonstrated through high-quality publications in reputable journals and conferences.
• Experience in mathematical modeling, numerical optimization, algorithm development, wireless system simulation and quick prototyping.
• Strong publication record in wireless communications, signal processing, optimization, and/or AI-enabled communication systems.
• Solid knowledge of MIMO systems, beamforming, wireless resource allocation, and machine learning algorithms.
• Knowledge of ISAC, HAPS, UAV communications, non-terrestrial networks, reinforcement learning, or mobile edge computing is highly desirable.
• Excellent analytical, mathematical, and problem-solving skills.
• Strong technical writing, communication, and collaboration skills, with the ability to conduct independent research.
• MATLAB and Python programming for numerical analysis, algorithm development, and simulation.
• Mathematical optimization, wireless system modeling, and performance evaluation.