Researcher in AI-Aided Fuzzing

2 weeks ago

Singapore beBeeCybersecurity Full time $120,000 - $145,000
Job Opportunity

We are seeking an accomplished researcher to join our academic community and contribute to cutting-edge research in AI-aided fuzzing techniques.

The ideal candidate will have a Ph.D. in Computer Science, Cybersecurity, or a related field, with experience in developing AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques.

The selected individual will collaborate with interdisciplinary teams to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks and publish research findings in academic publications, conference papers, and technical reports.

Key Responsibilities:

  • Develop and apply AI-aided fuzzing techniques using large language models to identify security vulnerabilities in systems.
  • Collaborate with research teams to enhance fuzzing capabilities through the development of AI models.
  • Publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering.

Required Skills and Qualifications:

  • Ph.D. in Computer Science, Cybersecurity, or a related field.
  • Research experience in fuzzing and AI, with a focus on deep learning, natural language processing, or reinforcement learning.
  • Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering.
  • Proficiency in programming languages such as Python, C/C++, or Java.
  • Analytical and problem-solving skills, with experience in experimental design and statistical analysis techniques.
  • Excellent written and verbal communication skills.
  • Self-motivation and initiative to drive research projects forward.

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