PhD Candidate in Computational Methods for Preclinical Photoacoustic Imaging | Doktorand/-in (w/m/d) "Computergestützte Methoden für die präklinische photoakustische Bildgebu

Uniklinik RWTH Aachen

Aachen, Nordrhein-Westfalen, Deutschland
Published Apr 23, 2026
Part-time
No information

Job Summary

This PhD position at the Institute for Biomedical Technology focuses on developing robust methods for biomarker quantification in preclinical photoacoustic data using stochastic numerical mouse models. The successful candidate will conduct independent scientific research, publish findings in international journals, and present at academic conferences. Responsibilities also include co-supervising Bachelor and Master students and participating in group seminars. The role requires a strong background in computer science, biomedical engineering, or medical physics, with specific expertise in deep learning and medical image processing. You will work within an interdisciplinary team, necessitating a collaborative mindset and strong communication skills. This position offers a structured academic environment with a clear path toward a doctoral degree, providing the opportunity to contribute to cutting-edge biomedical imaging research while benefiting from comprehensive institutional support, including retirement provisions and flexible onboarding.

Required Skills

Education

Completed Master's degree in Computer Science, Biomedical Engineering, Medical Physics, Applied Mathematics, or a related field.

Experience

  • Professional experience in medical or biomedical image segmentation
  • Experience with Python and machine learning frameworks
  • Academic research experience in computer science, biomedical engineering, or medical physics
  • Experience with preclinical or experimental image data is advantageous

Languages

English (Fluent)

Additional

  • Work permit for Germany required; position is limited to 3 years under the WissZeitVG (Academic Fixed-Term Contract Act) with an option for extension.