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