Deskripsi Pekerjaan
Are you passionate about pushing the boundaries of artificial intelligence to secure our digital future? The Institute for Infocomm Research (I2R) at the Agency for Science, Technology and Research (A*STAR) is seeking a highly skilled Research Engineer in Cybersecurity to join our elite team in Singapore.
In this role, you will be at the forefront of innovation, developing cutting-edge AI-driven solutions to tackle complex, real-world cybersecurity challenges. You will work alongside world-class scientists and engineers, translating high-level research concepts into robust, scalable software prototypes. This is a unique opportunity to contribute to national-level initiatives and influence the next generation of security technologies.
We foster a collaborative, intellectually stimulating environment where curiosity is encouraged and groundbreaking results are rewarded. If you are a problem-solver who thrives on complex technical puzzles and wants to make a tangible impact on cybersecurity, we want to hear from you.
Tanggung Jawab
- Develop and implement innovative AI/ML models to detect and mitigate emerging cybersecurity threats.
- Conduct deep-dive research into software vulnerabilities, network security, and adversarial machine learning.
- Design and maintain high-performance software prototypes for secure data processing and threat analysis.
- Collaborate with cross-functional research teams to integrate AI capabilities into existing security frameworks.
- Perform comprehensive performance testing, benchmarking, and documentation of research prototypes.
- Stay abreast of global cybersecurity trends and contribute to academic publications or technical conferences.
- Provide technical guidance and support for the deployment of security solutions in real-world testbeds.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related engineering discipline.
- Proven experience in cybersecurity research or practical security engineering.
- Strong programming proficiency in Python, C++, or Go.
- Deep understanding of machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Familiarity with cybersecurity concepts, such as network protocols, encryption, and threat modeling.
- Experience with cloud security architectures and containerization tools (Docker, Kubernetes) is a plus.
- Strong analytical mindset with a passion for problem-solving and continuous learning.
- Excellent verbal and written communication skills in English.