Deskripsi Pekerjaan
Nanyang Technological University (NTU) Singapore, a world-class research-intensive university, is seeking a highly motivated and talented Research Fellow to join our prestigious team. This is a unique opportunity to contribute to cutting-edge research in the critical domains of AI security, data privacy, and advanced cybersecurity.
As a Research Fellow, you will work alongside esteemed faculty and industry experts on high-impact projects designed to address the most pressing challenges in the digital ecosystem. We are looking for an innovator who is passionate about building secure, resilient, and privacy-preserving AI frameworks. You will be instrumental in designing novel algorithms, conducting rigorous performance testing, and publishing findings in top-tier international conferences and journals.
Join a vibrant, international research community at the forefront of technological advancement. At NTU, we provide the resources, collaborative environment, and mentorship necessary to take your academic career to the next level.
Tanggung Jawab
- Lead and conduct innovative research in AI security, privacy-preserving machine learning, and hardware/software cybersecurity.
- Design, develop, and validate robust mathematical models and security frameworks for complex digital infrastructures.
- Collaborate with interdisciplinary teams to translate research findings into practical, high-impact security solutions.
- Prepare high-quality research papers for submission to top-tier venues (e.g., USENIX Security, CCS, S&P, NDSS, NeurIPS).
- Present research progress and findings at international conferences and internal seminars.
- Supervise and mentor junior researchers and postgraduate students within the lab.
- Participate in grant writing and project management duties as required for research continuity.
Kualifikasi
- PhD in Computer Science, Computer Engineering, Electronics Engineering, or a closely related field.
- Strong background in cybersecurity, cryptography, or AI/ML safety.
- Proven publication record in top-tier security or AI conferences and journals.
- Proficiency in programming languages such as Python, C++, or Rust.
- Solid understanding of adversarial machine learning, differential privacy, or secure multi-party computation.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong command of English, both written and verbal, for effective academic communication.
- Ability to work both independently and collaboratively in a fast-paced, high-expectation research environment.