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Research Scientist
1 week ago
The Intelligent Testing Technology Team is at the forefront of integrating large language models with formal methods to advance artificial intelligence. By harnessing LLMs' strengths in natural language processing and generation, this team explores their synergy with the precision of formal verification techniques.
As part of this team, you will collaborate with industry leaders on groundbreaking projects and contribute to shaping the future of technology.
About the Job
- Engage in research projects focused on neuro-symbolic systems that leverage symbolic AI and formal methods to enhance and refine LLM outputs.
- Implement innovative NSS designs and validate their intended properties using programming languages, such as functional programming languages, especially Haskell.
- Collaborate on research publications to disseminate findings and contribute to the advancement of AI technology.
About the Ideal Candidate
- A Ph.D. in Computer Science, Software Engineering, Mathematics, or a related field, specializing in symbolic techniques, particularly formal methods tools.
- Proven experience in developing symbolic computation tools, including compilers, model checkers, theorem provers, or similar applications.
- A solid understanding of programming language theory, logic, and symbolic verification is an asset.
- A strong interest in the integration of LLMs with symbolic tools, including Category Theory knowledge.
