PhD Position in Machine Learning in Biomechanics

Polytechnicpositions; Bayern; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technical university in Germany is offering a PhD position in Machine Learning focused on biomechanical applications. The role involves developing innovative solutions in elastography and engaging in cutting-edge research that combines machine learning, computational mathematics, and medical imaging. Candidates should have a strong academic background and research experience in related fields. Contact for applications: [e-mail].

Qualifikationen

• Experience with machine learning frameworks and elastography.
• Strong background in mathematics and physics.
• Research experience in a related field is preferred.

Aufgaben

• Develop solutions for inverse problems in diagnostic biomechanics.
• Advance the functionality of the Weak Neural Variational Inference framework.
• Engage in interdisciplinary research combining various scientific fields.

Kenntnisse

Machine Learning

Computational Mathematics

Continuum Mechanics

Probabilistic Modeling

Elastography

Ausbildung

PhD or equivalent in relevant fields

Jobbeschreibung

PhD Position in Machine Learning in Biomechanics

Technical University of Munich

Germany

A Ph.D. position is available in our group to contribute to the development of efficient, certifiable, and practical solutions for inverse problems in diagnostic biomechanics, with a particular focus on elastography. The project builds on our recently developed Weak Neural Variational Inference (WNVI) framework and aims to advance its capabilities in the following directions:

Research directions

• Scalability: Extending methods to high-dimensional and three-dimensional elastography problems using neural operator representations.
• Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference.
• Practical usability: Developing robust, user-friendly frameworks for multimodal elastography and enabling deployment on portable devices (e.g., smartphones) for real-time diagnostics.

The research combines continuum mechanics, machine learning, computational mathematics, and probabilistic modeling, with direct applications in medical imaging and beyond.

Details can be found in the link below.

Kontakt: [e-mail]

https://www.epc.ed.tum.de/fileadmin/w00cgc/ddmm/pdf/PhD_DFG_Inverse_Bio_2025.pdf

In your application, please refer to Polytechnicpositions.com