Studentische Hilfskraft (m,w,d) für Softwareentwicklung in C++ im Bereich Medizintechnik und Robotik
Fraunhofer-Gesellschaft · BE, DE
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About the Role
As a Student Assistant, you will work with our team on a research project in the field of robotics-assisted medical technology. Our goal is to ensure a future-proof and cost-effective hospital operation through the automated handling of surgical instruments. You will implement algorithms for object tracking and handling in C++, identify system requirements, and translate them into an efficient software architecture. You will be significantly involved in the conception, planning, and implementation of individual software components.
Responsibilities
- Implement algorithms for object tracking and handling in C++
- Identify system requirements
- Translate system requirements into an efficient software architecture
- Conceive, plan, and implement individual software components
Requirements
- Currently enrolled in a degree program
- Experience with C++ programming
Skills
- Object tracking
- Object handling
- Software architecture
- Robotics-assisted medical technology
- Image processing
- Pattern recognition
- Machine learning
- Artificial intelligence
Location
- Berlin
Work Type
- Student Assistant
Experience Level
- Student
Education Level
- Degree program enrollment
About the Company
- Fraunhofer-Gesellschaft plays a central role in the innovation process with its focus on future-oriented key technologies and the utilization of results in business and industry.
- Fraunhofer-Gesellschaft acts as a guide and initiator for innovative developments and scientific excellence, contributing to the shaping of our society and our future.
- Fraunhofer Institute for Production Systems and Innovation Research in Berlin has stood for excellence in production science for 50 years.
- The institute connects science and practice in industrial production, offering application-oriented system solutions for the entire spectrum of industrial tasks.
- The Machine Vision department explores new application fields for machine learning and artificial intelligence (AI) for processing multimodal data, particularly recognition from fused perspectives.
- The department has proven expertise in stationary and mobile recognition systems, automated object reconstruction, and optical inspection and quality control using intelligent image processing.