Fraunhofer-Gesellschaft

Software Engineer

• Help with software implementation and evaluation tasks
• Implement features in multiple software components such as robot localization, drivers and infrastructure
• Test and evaluate new ideas and promising approaches from research publications and open source releases
• Test and deploy the software on real robots in test environments
• Help with integration of a new remote control system into the track-drive robot CURttrac
• Investigate the use of Visual Odometry in the localization solution

Student Assistant – Software Development, Autonomous Outdoor Robot Navigation

Office Assistant

• Support the ATHENE central office in a variety of areas at the interface between research, administration, and public outreach
• Collect and analyze key figures, conduct research on scientific publications, scientific conferences, and cybersecurity-related topics
• Support outreach activities

Student Assistant

• Develop a hardware prototype: You will convert the existing device concept into a functional hardware prototype and thereby make a direct contribution to digital stroke prevention.
• Develop software: You will create the corresponding software that guides users safely and intuitively through the entire measurement process.
• Integrate hardware and software: You will connect hardware and software into a seamlessly functioning overall system by implementing appropriate interfaces between the measurement device and the app, consistently applying the user requirements defined in the design concept.
• ML & signal analysis: You will integrate methods for processing and analyzing the recorded blood-flow sounds and investigate the use of machine learning approaches for automated evaluation of clinically relevant signals.
• Evaluation: You will test the developed prototype together with users, analyze the feedback, and optimize the system with respect to usability and the overall user experience.

Master's Thesis – Hardware and Software Development for an Intelligent Medical Technology Handheld

Artificial Intelligence

• Conducting literature reviews and evaluating state-of-the-art approaches in Machine Learning and Deep Learning
• Performing data preprocessing, feature engineering, and exploratory data analysis on real-world datasets
• Developing and implementing AI models, including neural networks, transformer architectures, and tree-based methods
• Training, validating, and optimizing machine learning models through hyperparameter tuning and performance evaluation
• Applying developed approaches to industrially relevant energy and geothermal use cases
• Documenting research results and presenting findings within the project team

Master Thesis – Monitoring & AI for Geothermal and Energy Systems

Communications

• Contributing to the development of next-generation optical wireless communication systems
• Familiarization with the physical layer and technical fundamentals of optical wireless communication and LiFi
• Supporting tasks in the laboratory and assisting with demonstrators
• Design and implementation of a PAT (Pointing, Acquisition and Tracking) system for optical P2P terminals

Student Assistant – Software Development, Autonomous Outdoor Robot Navigation

Student Assistant

Master's Thesis – Hardware and Software Development for an Intelligent Medical Technology Handheld

Master Thesis – Monitoring & AI for Geothermal and Energy Systems

Student Assistant – PAT System, Optical Wireless Communication