Master's thesis : Modeling flexible robotic systems for stroke treatment

Fraunhofer-Gesellschaft; Mannheim; Hybrid; EUR 12.000 - 18.000; Vollzeit

Zusammenfassung

Eine innovative Institution sucht nach einem engagierten Studenten, um an der Entwicklung einer Methodik zur Verbesserung der Genauigkeit digitaler Zwillinge in der medizinischen Technik zu arbeiten. Diese Rolle bietet die Möglichkeit, praktische Forschung zu betreiben, die die Zukunft der Gesundheitsversorgung prägt, sowie interdisziplinär zu arbeiten und eng betreut zu werden. Mit Zugang zu modernen Laboren und einem inspirierenden Arbeitsumfeld können Sie Ihre Fähigkeiten in der Mechanik, Mathematik und Programmierung weiterentwickeln. Wenn Sie eine Leidenschaft für angewandte Forschung haben und in einem dynamischen Team arbeiten möchten, ist dies die perfekte Gelegenheit für Sie.

Leistungen

Praktische Forschung

Interdisziplinäre Arbeitsumgebung

Gut ausgestattete Labore

Fußballturniere in der Mittagspause

Vergütung als studentische Hilfskraft

Qualifikationen

• Gute Programmierkenntnisse, idealerweise in Python.
• Fundierte Kenntnisse in Mechanik, Mathematik und Regelungstechnik.

Aufgaben

• Entwicklung einer Methodik zur Verbesserung der Genauigkeit des digitalen Zwillings.
• Literaturrecherche und Konzeptentwicklung für die Forschung.

Kenntnisse

Mechanik

Mathematik

Regelungstechnik

Programmierung (Python)

Interdisziplinäre Zusammenarbeit

Ausbildung

Bachelorabschluss in einem MINT-Fach

Jobbeschreibung

Job advertisement for specializations such as: Aerospace Engineering, Mechanical Engineering, Mathematics, Mechatronics, Medical Engineering, Physics, Control Engineering, Computer Engineering or similar.

Strokes and other cardiovascular diseases are usually treated using endovascular therapy. This involves navigating thin, flexible catheters through the vascular system to the treatment site, where a clot is removed or a stent is placed, for example. The doctors monitor the position and movement of the catheters via the fluoroscopic image (live X-ray image). Recording the mechanical condition of the instruments during the procedure in a digital twin can help to make such interventions faster and safer by issuing warnings before vessels are damaged or recommending ideal navigation maneuvers. In the future, interventions can also be completely automated. The mechanical condition and, in particular, the contact forces between the catheter and the vessel wall can be determined from the deformation of the catheter, which is visible on the fluoroscopic image.

What you will do

The aim of this work is to develop a methodology to increase the accuracy of the digital twin by integrating additional information.

The work includes:

1. Extensive literature research and concept development
2. Implementation of the developed process
3. Setting up and carrying out suitable test and validation trials in a test rig or simulation
4. Documentation of the work results in a final thesis and presentation

What you bring to the table

1. Sound basic knowledge of mechanics, mathematics and control engineering
2. Good programming skills, ideally in Python
3. Independent, thorough and systematic way of working
4. Enjoy applied research and interdisciplinary work
5. Completed Bachelor's degree in a STEM subject or completed major in the subject area
6. Business fluent in German or English, basic knowledge of German

What you can expect

1. Practical research that shapes the future of healthcare
2. Interdisciplinary, student-oriented working environment with close supervision
3. Well-equipped laboratories and modern research OR with angiography system
4. Foosball tournaments during the lunch break
5. Remuneration as a student assistant

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

Fraunhofer Institute for Manufacturing Engineering and Automation IPA

Requisition Number: 77617 Application Deadline: