Postdoctoral Researcher in AI for Testing and Threat Detection : Computer Science and Engineeing (CSE)-College of Engineering
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Key skills for this role
About the Role
The American University of Sharjah invites applications for a Postdoctoral Researcher in AI-driven testing, verification, and fault/threat diagnosis. The role involves developing reinforcement learning and machine learning algorithms, publishing research, and supervising graduate students.
Key Skills for This Role
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
Requirements
- PhD in Computer Science/Engineering with expertise in machine learning
- PhD awarded from a reputable institute within the past four years
- Proven experience in development of reinforcement learning, neural networks, deep learning, Generative AI models and algorithms
- Proficiency in Python, Java, or C/C++; strong debugging and validation skills
- Strong publication record 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
Full Job Posting
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.
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