Post-doctoral Research Associate

American University of Sharjah; Sharjah; On-site; AED 140,000 - 210,000; Full time

Job summary

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

Qualifications

• PhD in Electrical Engineering, Telecommunications, or 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.

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.

Skills

Wireless communications

AI/ML

MATLAB

Python

MIMO & beamforming

Resource allocation

Reinforcement learning

Non-terrestrial networks

Technical writing

Collaboration

Education

PhD in Electrical Engineering or Telecommunications

Tools

MATLAB

Python

Job description

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.

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.

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.