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Masterthesis: KI-gestützte Analyse von R&I-Schemata im Engineering-Prozess

TübingenRemoteFull-time2026-02-26 → 2026-10-09

Core

Develop a concept and functional prototype for an AI-driven system to automatically analyze R&I schemata, scaling a manual engineering process.

Builds

AI-driven system prototype for R&I schemata analysis

Domain

Renewable energy engineering, digital engineering processes

Deliverable

production ML models

Required skills

AI, automation, digital engineering processes, structured analytical work

Preferred skills

none stated

Technologies

none stated

Responsibilities

Analyze current engineering process around R&I schemata, develop AI approach for MSR component identification and classification, automate interpretation of signal and functional relationships, build standardized interface list, evaluate feasibility and scalability, develop demonstrator and strategic recommendations

Seniority

Master thesis level