Doktorand Multimodale KI Systeme zur Erkennung elektronischer Komponenten Cost Engineering (w/m/x)
Core
Research and development of a multimodal, agentic AI system for automated detection and structured description of electronic components in cost engineering.
Role type
PhD researcher (IC)
Builds
A prototype system integrating text, image, and measurement data for component identification and cost analysis.
Domain
Automotive manufacturing, Cost Engineering, Computer Vision, NLP
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, Computer Vision, Vision-Language Models, Large Language Models, Transformer architectures, PyTorch, HuggingFace
Preferred skills
Experience with PCB scans, geometric measurement data, Bill of Materials, data sheets, external component databases
Technologies
PyTorch, HuggingFace
Responsibilities
Develop text-based methods for extracting and structuring component parameters from technical documents; Develop image-based methods for detecting, segmenting, and describing electronic components on PCBs; Conceptualize and implement fusion of text, image, and measurement data; Validate the system using labeled datasets and external data sources; Develop a prototype system integrated with cost engineering workflows.
Seniority
PhD Candidate (Researcher)