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

Responsibilities

• Develop a hardware prototype:
  Convert the existing device concept into a functional hardware prototype and thereby make a direct contribution to digital stroke prevention.
• Develop software:
  Create the corresponding software that guides users safely and intuitively through the entire measurement process.
• Integrate hardware and software:
  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:
  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:
  Test the developed prototype together with users, analyze the feedback, and optimize the system with respect to usability and the overall user experience.

• Currently enrolled in a Master's program in Computer Science, Applied Computer Science, Medical Engineering, Health/Medical Informatics, Biomedical Engineering, Electrical Engineering, or a comparable field
• Practical experience in hardware or software development and an interest in technically implementing user-centered design concepts
• Understanding of user-centered development processes and a willingness to shape the technical implementation through iterative user feedback so that measurement execution and result interpretation remain understandable and safe for medical laypersons
• Team-oriented, careful, and responsible working style, as well as the ability to work independently and conduct scientific work
• Ideally located near Dortmund, as on-site meetings and coordination may be required despite the possibility of remote work
• Good written and spoken German and English

Demonstrates expertise in hardware and software development, with a focus on user-centered design and iterative feedback processes. Proficient in integrating hardware and software systems, as well as applying machine learning techniques for signal analysis in a medical context.