Thesis AI Agent for Automated Machine Diagnostics and Root-Cause Analysis
Core
Build a reliable AI agent that analyzes machine behavior from CAN measurements to derive solutions for calibrations, software bugs, or hardware issues.
Role type
Thesis AI Agent for Automated Machine Diagnostics and Root-Cause Analysis
Builds
Automated signal and event detection routines, agent harness with custom skills and tools (e.g., MCP servers), and a virtual test bench simulation loop.
Domain
Industrial automation, mechatronics, control systems
Deliverable
production ML models
Required skills
Python development, LangChain, Agentic Workflows, control systems knowledge, signal analysis
Preferred skills
Critical analysis, innovative problem solving, continuous learning
Technologies
Python, LangChain, MCP servers, TPT (virtual test bench)
Responsibilities
Create agent harness and custom skills, set up automated signal/event detection, prepare context with documentation and domain knowledge, benchmark agent accuracy, automate simulation loop, document tool and present findings.
Seniority
Student/Thesis Researcher
