Postdoctoral Researcher in AI for Testing and Threat Detection : Computer Science and Engineeing (CSE)-College of Engineering

         Position Summary    

The Department of Computer Science and Engineering at the American University of Sharjah invites applications for a Postdoctoral Researcher position in AI-driven testing, verification, and fault/threat diagnosis. The successful candidate will contribute to cutting-edge research in reinforcement learning, machine learning, and intelligent system validation while collaborating with faculty, graduate students, and interdisciplinary research teams.

Job Responsibilities

• Development and assessment of reinforcement and other machine learning algorithms for testing and threat detection.
• Publish high-quality journal papers and present at top-tier conferences.
• Develop software prototypes and experimental evaluation frameworks.
• Supervise and collaborate with graduate research assistants and students.

Professional Experience

• Proven experience of development of reinforcement learning, neural networks, deep learning, Generative AI models and algorithms.

Education and Academic Qualifications

• PhD in Computer Science/Engineering with expertise in machine learning.
• Hold a PhD awarded from a reputable institute within the past four years
• Proficiency in Python, Java, or C/C++; strong debugging and validation skills.

Skills & Competencies

• Strong publication record in areas such as in reinforcement learning and other machine learning algorithms.
• Knowledge of formal modeling, testing, verification, and fault diagnosis / threat detection is recommended.
• Excellent problem-solving skills.
• Strong communication and collaboration skills in interdisciplinary teams.

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.