Job Description
Our team has an immediate 4-month contract opening for anIntern ResearcherResponsibilities:Research and apply state-of-the-art technologies to guide the synthesis process of neural symbolic architectures with the integration of LLM/AI and Formal methodsResearchand develop comprehensive testing strategies for LLM-based AI systems, e.g., white box testing (examining internal components) and black box testing (evaluating system behavior from an external perspective; assessing the coverage/activation patterns to understand the AI system, and improving performanceResearch and develop formal modeling, analysis, and verification techniques to integrate symbolic information and reasoning within neural networks; ensure accurate interpretation and generation of LLM-based AI system outputsWork closely with researchers and engineers to apply advanced technologies into practical AI development lifecycle, and publish findings in relevant conferences and journals#LI-TL1What you’ll bring to the team:Ph.D. student in Formal Methods, Software Engineering, LLM/AI, or a closely related fieldProven experience in research and development in related fieldsKnowledge of formal reasoning and testing techniquesUnderstanding of LLM/AI techniques and their limitationsStrong programming skillsAbility to collaborate effectively with interdisciplinary teamsAdept at identifying and solving complex technical challenges