The candidate will be responsible for conducting research on LLM Data Security. Successful candidate will be part of anactive research team led by Prof XIE Xiaofei from School of Computing and Information Systems, SingaporeManagement University.
Candidate's core responsibilities are:
- Conduct research on data security, with a focus on detecting poisoning attacks and data selection attacks in LLM.
- Develop tools for security analysis and benchmark their effectiveness against state-of-the-art methods.
- Conduct the experiments and prepare research papers.
- Other duties as assigned.
Qualifications
- Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely relateddisciplines from a reputable institution of higher learning
- Minimum 1 years of relevant research experience in AI, data analysis and cybersecurity.
- Basic knowledge/Proficiency in programming software/languages such as Python and Java will be positively considered/ is required
- Demonstrated experience and know-how on active learning, poisoning attack and data analysis
- Experience with at least one programming software/languages, such as Python, C or Java is preferred
- Excellent working knowledge of data analysis, trustworthy AI and cybersecurity
- Good analytical, technical and problem solving skills
- Applicants with research publications in AI, software engineering and cybersecurity area will be advantageous
- Self-motivated individual who can work independently and also collaboratively with team members
