BA / MA Theses in the field of Ultrasound Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
Anzeige vom: 06.06.2024

BA / MA Theses in the field of Ultrasound

Standort:
  • Bremen
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Festanstellung

Gewünschte Fähigkeiten & Kenntnisse

Python
Systems Engineering
Analyse
Budget
Support
CAN
Big Data Analytics
Data Analysis
Engineering
Flexibilität

Stellenbeschreibung

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world's leading applied research organization. Around 30 800 employees work with an annual research budget of 3.0 billion euros.

Fraunhofer MEVIS is a world leading research and development center for computer support in digital medicine. We pursue a patient-centered and clinical workflow-oriented approach to solving clinically relevant challenges in image- and data-baseddiagnosis and therapy.

What you will do

Fraunhofer MEVIS deals with various questions in the field of ultrasound, ranging from image generation to interpretation. Exciting challenges arise in the monitoring of therapeutic applications or functional imaging. Dealing with motion plays an important role, as regular movement such as breathing or heartbeat has a negative impact on many dynamic measurements. This must be compensated for using special measuring methods or algorithms., 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.



Ihre Aufgaben


  • Observation of temperature changes in tissue using novel non-contact thermometry methods including movement compensation

  • Monitoring the focus position of a therapeutic ultrasound device using diagnostic ultrasound

  • Novel methods for reconstructing sound speed maps through optimization based on the Fourier transform

  • Temperature control using stable motion

    Tomographic ultrasound with flexible array configurations

  • Image reconstruction from dynamic information o Analysis of the change in the local speed of sound

  • Identification of the sensor distribution o from the ultrasound data itself o through external cameras

    Analysis of image data streams

  • Contrast-enhanced ultrasound (CEUS) analysis for classification of liver and kidney lesions

  • Analysis of muscle movements to monitor function

    Work in these areas can include practical experiments in the laboratory/workshop (in Bremen) as well as the analysis and processing of data using novel algorithms. The weighting varies from topic to topic. It is possible to work on the topics as part of a Bachelor's or a Master's thesis



Ihr Profil


  • You are a enrolled student from the following subjects: physics, electrical engineering, computer science, systems engineering, mathematics, medical informatics or similar subjects.

  • You have knowledge of Python, enjoy laboratory work, and want to further develop algorithms, Interested? Apply online now. We look forward to getting to know you! Applications are possible in German or English. Please include a cover letter, your CV and your latest transcript of records.



Kontakt


Dr. Sven Rothlübbers: sven.rothluebbers@mevis.fraunhofer.de

Fraunhofer Institute for Digital Medicine MEVIS

www.mevis.fraunhofer.de

Profil

Fachliche Voraussetzung

  • Algorithmus, Elektrotechnik, Experimentieren, Hepatologie, Informatik, Labortechniken, Läsionen, Mathematik, Medizinische Informatik, Medizinische Sonographie, Muskeln, Nieren (Fachkompetenz), Physik, Python, Sensorik, Streaming, Systems Engineering, Temperaturkontrolle, Ultraschall

Schulabschluss

  • Bachelor

Sprachkenntnisse

  • Deutsch, Englisch

Bewerbung

    Branche:

    Bildung / Forschung

    Arbeitgeber:

    Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.

    Adresse:

    Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
    Pascalstr 8 9
    10587 Berlin