The deep-tech spin-off is developing an AI-driven software platform for real-time machining. It is a growing interdisciplinary team combining skills from mechanical engineering, mathematics and data science with strong support by partners from academia and industry.

Your role

As our Time-series data & ML research engineer, you will play a role in advancing our data-driven manufacturing intelligence pipeline. You will:

• Further development ofexisting signal processing pipeline
• Implement machine learning and feature extraction for high-frequency machining data.
• Focus on signal phase extraction and signal segmentation.
• Guide teamin implementing and validating algorithms for real-time signal interpretation.
• Develop novel & explainable models.

Your background

We are looking for someone with a strong scientific and applied background in one or more of the following domains:

• Signal processing in Electrical / Electronics Engineering, Biomedical Engineering, Computer Science, Acoustics and Sound Engineering, or Applied Mathematics or related fields.
• Experience in time-series analysis, signal processing, and data-driven models.
• Strong proficiency in Python and C++.
• Familiarity with machining processes is a plus.

We value curiosity, scientific integrity, and hands-on problem-solving ability.

What we offer

• A key technical position in a fast-growing spin-off
• Opportunity to shape the next generation of explainable AI in manufacturing
• Flexible working hours, hybrid work, and access to modern R&D infrastructure
• Competitive gross salary (EUR 4,600.00) based on experience (following IT Kollektivvertrag).