Internship - Data Analytics & Technical Monitoring for X-Ray Systems

Siemens Healthineers AG · Forchheim · 35 hours a week

InternshipGerman needed: fluent

Still open on 3 Nov

You apply on the company's own website.

Key facts

Hours: 35 hours a week
Where you work: Company and home
Language needed: German and English
Subject you study: Physics, Medical Engineering, Electrical Engineering, Mechatronics, Mechanical Engineering, Computer Engineering

Investigate technical and physical questions about systems and components such as X-ray tubes and detectors using operating, log and field data
Examine links between usage, load, wear and failures and develop hypotheses
Analyze failure modes and technical anomalies and develop approaches for early detection
Develop creative analysis approaches for real, imperfect data
Turn findings into lasting analysis and monitoring approaches, including monitoring indicators, data catalogs and monitoring concepts

You are currently studying physics, medical engineering, electrical engineering, mechatronics, mechanical engineering, computational engineering, technical computer science or a comparable technical or scientific degree
Strong technical and physical understanding and enjoyment of getting to the bottom of complex technical issues
Strong affinity for data and knowledge of Python or comparable tools for data analysis and visualization
Experience with data platforms such as Databricks or Snowflake is an advantage
Physical-technical understanding and Python programming skills are mandatory
Very good written and spoken German and English
Analytical, hypothesis-driven and creative thinking
Independent and structured way of working, actively contributing ideas
Internship guideline/study regulations to upload if an internship is required

Flexible and dynamic environment full of opportunities to grow personally and professionally
Mobile working within Germany up to an average of 60% of working time possible

Investigate technical and physical questions about systems and components such as X-ray tubes and detectors using operating, log and field data
Examine links between usage, load, wear and failures and develop hypotheses
Analyze failure modes and technical anomalies and develop approaches for early detection
Develop creative analysis approaches for real, imperfect data
Turn findings into lasting analysis and monitoring approaches, including monitoring indicators, data catalogs and monitoring concepts

You are currently studying physics, medical engineering, electrical engineering, mechatronics, mechanical engineering, computational engineering, technical computer science or a comparable technical or scientific degree
Strong technical and physical understanding and enjoyment of getting to the bottom of complex technical issues
Strong affinity for data and knowledge of Python or comparable tools for data analysis and visualization
Experience with data platforms such as Databricks or Snowflake is an advantage
Physical-technical understanding and Python programming skills are mandatory
Very good written and spoken German and English
Analytical, hypothesis-driven and creative thinking
Independent and structured way of working, actively contributing ideas
Internship guideline/study regulations to upload if an internship is required

Flexible and dynamic environment full of opportunities to grow personally and professionally
Mobile working within Germany up to an average of 60% of working time possible