Postdoctoral Associate in Computer Security: The Department of Computer Science and Engineering at the American University of Sharjah (AUS) is seeking a highly motivated Postdoctoral Associate to support ongoing research in the areas of computer security, machine learning, and computer vision. This 12-month position begins in August 2025 and offers a fantastic opportunity to contribute to cutting-edge research, leading to academic publications and practical applications.
Postdoctoral Associate in Computer Security, Machine Learning, and Computer Vision
Designation
Postdoctoral Associate
Research Area
- Computer Security
- Machine Learning
- Computer Vision
Location
Sharjah, UAE
Eligibility/Qualification
| Qualification Category | Details |
|---|---|
| Education | PhD in Computer Science, Computer Engineering, or related field (awarded within the last four years) |
| Research Background | Proven background in computer security, machine learning, and/or computer vision, with a strong publication record in reputable journals and conferences |
| Technical Skills | Proficiency in Python or C++ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and/or computer vision libraries (e.g., OpenCV) |
| Communication Skills | Excellent written and verbal skills for presenting research findings |
Job Description
- Design and implement theoretical and experimental research studies in computer security, machine learning, and computer vision.
- Apply deep learning models using frameworks like TensorFlow or PyTorch to tackle security and vision-related challenges.
- Conduct data collection, processing, and analysis for security and AI-based applications.
- Write and publish high-quality research papers in peer-reviewed journals and conferences.
How to Apply
Interested applicants should complete the application form and submit the following documents:
- Curriculum Vitae (CV) with a full publication list.
- Cover Letter detailing research interests and relevant experience.
- A writing sample (e.g., a published journal or conference paper).
- Two letters of reference.
For inquiries about the position, please contact Dr. Reham Aburas at raburas@aus.edu.
Last Date to Apply
Applications will be reviewed immediately and will continue until the position is filled. Early submission is encouraged.
Note
AUS is an equal opportunity employer and adheres 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 on qualifications.
