Overview
American University of Sharjah is recruiting a postdoctoral researcher in AI-driven testing, verification and fault or threat diagnosis within its Computer Science and Engineering department.
Complete research opportunity details
The researcher will develop and assess reinforcement-learning and other machine-learning methods for testing and threat detection, build software prototypes and experimental evaluation frameworks, publish research and present at leading conferences, and collaborate with or supervise graduate research assistants and students. The role spans reinforcement learning, neural networks, deep learning, generative AI, intelligent-system validation and related verification research.
Eligibility requirements
Applicants need a PhD in Computer Science or Computer Engineering with machine-learning expertise, awarded by a reputable institution within the past four years. AUS also asks for programming proficiency in Python, Java or C/C++, a strong research publication record, and strong problem-solving and interdisciplinary collaboration skills.
Tips for this postdoctoral opportunity
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
Verified 2026-08-29 against the current AUS vacancy page and its live official application form. The page is dated June 4, 2026 and remains listed among current AUS vacancies. No closing date, stipend or visa/sponsorship term is stated, so none is inferred.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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