Doctoral Candidate (DC)/PhD Position (m/f/x)
Core
Developing a data-driven tool to analyze real-time discharge signal data for electrical discharge machining (EDM) to understand processing states, predict machining results, and improve process stability for medical implant manufacturing.
Role type
Research PhD candidate (Data Analytics & Manufacturing)
Builds
Data analysis algorithms and validated methods for EDM process control and antibacterial coating prediction
Domain
Manufacturing / MedTech / Data Science
Deliverable
production ML models
Required skills
Experimental research, Data analytics, Signal processing, Material science knowledge, Programming/software skills
Preferred skills
Knowledge of electrical discharge machining (EDM), Antibacterial coating strategies, In vitro testing
Technologies
Discharge signal data analysis frameworks, EDM simulation tools
Responsibilities
Develop algorithms to analyze discharge signals, Correlate pulse voltage/current with material removal behavior, Predict machining results to reduce experimental iterations, Validate antibacterial coating efficacy in vitro, Build secure datasets for new tool-workpiece combinations
