Support in developing novel algorithms and methods for use in data-driven applications in medical or safety technology
Development of intelligent sensor systems for the control of anesthesia and ventilation devices
Further development of mobile and stationary gas detector fleets as well as camera-based monitoring systems
Close collaboration with interdisciplinary teams of developers, market experts and potential customers

Requirements

Enrolled in a degree program in Electrical Engineering, Physics, Computer Science, Mathematics or a comparable subject (at least 4th semester), with a study focus in Data Science or Computer Vision
Ideally some initial experience with tools such as TensorFlow, Scikit-learn, OpenCV or the Point Cloud Library
If your focus is Data Engineering: ideally initial experience with modern (NoSQL) database systems, distributed storage systems and stream processors such as Apache Spark or Flink, as well as cloud platforms
Initial programming experience in software development (C/C++, Python and ideally C# or Java)
Interest in applying your solid theoretical approach and creativity in practice to develop innovative solutions and to understand our application domains and users

Benefits

Flexible working hours
Remote work possible
Company laptop
Individual onboarding and training
Networking events
Employee leisure and professional development programs
Company sports and prevention courses
Health center and gym
Discounts at regional fitness studios
Company-affiliated daycare and parent-child offices
Subsidized company canteen
Good transport connections & parking
Events for employees and their families

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

algorithm developmentdata-driven applicationsintelligent sensor systemsgas detector systemscamera-based monitoring systemsprogramming (C/C++, Python, C#, Java)data sciencecomputer visionNoSQL database systemsstream processing

Soft Skills

creativitytheoretical approachcollaborationinterdisciplinary teamwork