Theses on Motion Analysis

Bremen, DE, 28359

Fraunhofer-Gesellschaft

Die Fraunhofer-Gesellschaft mit Sitz in Deutschland ist eine der führenden Organisationen für anwendungsorientierte Forschung. Im Innovationsprozess spielt sie eine zentrale Rolle – mit Forschungsschwerpunkten in zukunftsrelevanten...

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The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine.

With about 140 employees, our mission is to conduct patient-centric research and development to improve clinical processes for the benefit of our clinical partners and, in the end, patients.

 

Was Du bei uns tust

 

In the field of "Motion Analysis," we at Fraunhofer MEVIS focus on capturing and correcting patient and instrument movements during diagnoses, treatments, and interventions. We welcome proactive applications related to our topic areas. We are happy to jointly develop a specific thesis topic that matches your interests and skills, and our current questions.

 

Common imaging technologies in medicine such as MRI, CT, and X-ray images often only represent snapshots of patients. Between image acquisition and treatment, the patient and their anatomy move, causing the image data to inaccurately represent reality. Even during follow-up examinations, patients cannot be perfectly aligned in the same position. These movements make it difficult to track the progression of diseases. Even during a single image acquisition, patients can move, causing fine structures in the image data to blur. During interventions (e.g., surgical procedures on the spine), instruments are also tracked. Measurement and motion errors can cause severe damage to patients.

 

Our goal in the field of motion analysis is to identify where movements occur, measure them accurately, and provide physicians with motion-compensated data. Additionally, motion measurement data also has clinical benefits, such as diagnosing joint injuries. We mainly use simulations, mathematical motion and shape models, and optimization methods. For building simulations, we use classical image processing and deep learning. These allow us to create individual models for patients.

 

If we have sparked your interest in our field, we are happy to receive both general inquiries and project ideas or expressions of interest. We are currently broadly dealing with the following application areas:

 

Medical Area Desired Applications Organ Movement and Deformation Tumor diagnosis and therapy support Modeling of the Spine Diagnosis of e.g., back pain and surgery planning Knee Joint Complaints Diagnosis, planning, and therapy support Facial and Jaw Surgery Planning and therapy support Endovascular Procedures Planning and therapy support

                                     

 

 

 

Was Du mitbringst

 

Our topics usually suit enrolled students from computer science, systems engineering, mathmatics, medical informatics, or similar fields. 

As an interdisciplinary institute, we are open to applications and ideas from other fields.

 

Fundamentally, prior knowledge in one or more of the following aspects is helpful for our topics

 

  • Programming (Python, C++, or Matlab)
  • Mathematical Modeling, Optimization, and Simulation
  • Classical Image Processing and Machine/Deep Learning
  • Probalistic Sensor Data Processing ( Kalman Filter, etc.)

 

 

Was Du erwarten kannst

 

  • A dynamic work environment at the forefront of healthcare innovation
  • Ideal conditions for practical experience alongside your studies
  • Professional supervision and collaboration in a dedicated team
  • Flexible working to combine study and job in the best possible way

 

Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.

Die wöchentliche Arbeitszeit beträgt 39 Stunden. Die Stelle kann auch in Teilzeit besetzt werden. 

Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft. 

Haben wir Dein Interesse geweckt? Dann bewirb Dich jetzt online mit Deinen aussagekräftigen Bewerbungsunterlagen. Wir freuen uns darauf, Dich kennenzulernen! 

 

 

 

 

For questions regarding the offerend topics please contact:

Dr. Joachim Georgii: joachim.georgii@mevis.fraunhofer.de

Fraunhofer-Institut für Digitale Medizin MEVIS 

www.mevis.fraunhofer.de 


Kennziffer: 76322                Bewerbungsfrist: 

 

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Category: Analyst Jobs

Tags: Computer Science Deep Learning Engineering Matlab Python Research

Perks/benefits: Career development Flex hours

Region: Europe
Country: Germany

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