Research Scientist

HYPERSCAL SOLUTIONS PTE. LTD.; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A prestigious academic institute in the UK is looking for a candidate to conduct research on LLM agentic systems for penetration testing. The ideal applicant will hold a PhD and have a strong background in AI, deep learning, and programming with Python and PyTorch, along with relevant research experience. Join a dynamic research team and contribute to innovative solutions in cybersecurity. Excellent communication and collaboration skills are essential for this role.

Qualifications

• Minimum PhD degree in a relevant discipline with focus on AI and Cyber Security.
• Minimum 2 years of relevant research experience in AI or Cyber Security.
• Proficiency in programming software/languages such as python and pytorch.

Responsibilities

• Conduct research on developing LLM agentic systems for pen-testing.
• Survey existing LLM agentic systems for pen-testing.
• Adapt and develop existing LLM systems to pen-testing scenarios.

Skills

Programming in Python

Proficiency in PyTorch

Deep Learning

Linux System Usage

Problem-Solving

Education

PhD in Computer Science or related field

Tools

Python

PyTorch

Job description

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on developing LLM agentic systems for pen-testing. Successful candidate will be part of an active research team led by Assistant Prof. MA Yunshan from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

• Survey existing LLM agentic systems for pen-testing.
• Adapt and develop existing LLM agentic systems to pen-testing scenarios.
• Test the system on benchmarking testbed and environments.
• Address the limitations identified during testing and propose novel ideas to enhance the system.
• Write papers and submit to top-tier conferences.
• Other duties as assigned.

QUALIFICATIONS

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on Large Language Models, Artificial Intelligence, Deep Learning, or Cyber Security.
• Minimum 2 years of relevant research experience in Artificial Intelligence or Cyber Security.
• Proficiency in programming software/languages such as python and pytorch is required.
• Proven track record and professional experience in publications of top-tier AI and relevant conference.
• Demonstrated experience and know-how on deployment and fine-tuning of LLMs.
• Excellent working knowledge of deep learning.
• Technical skills in linux system usage.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with research publications in cyber security area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

OTHER INFORMATION

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Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University