Survey existing techniques on building the AI testing engines
Define the problem to be solved, i.e., define what are the objective of the testing engine; what are the design space for achieving the objective and what is the optimal solution
Propose effective and practical methods for building the testing engine, i.e., identify the complexity of the proposed algorithm, its limitations and strengthen, and propose mitigation plans for domains where the proposed algorithm will have limited applicability
Qualifications:
PhD in Computer Science, Information Technology, Information Systems or closely related disciplines from an institution of higher learning
Basic knowledge/Proficiency in programming software/languages such as Python will be required
Demonstrated experience and know-how on machine learning techniques
Experience with at least one programming software/languages, such as VSC and Python or C
Good analytical, technical and problem solving skills
Multiple research publications in the area of formal methods, software engineering, cyber-security and LLM
Self-motivated individual who can work independently and also collaboratively with team members
Other Information:
#LI-JN2
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