PhD Positions in Medical Imaging: The AI for Vision research group at the Institute for AI in Healthcare and Medicine, Technical University of Munich (TUM), is seeking two PhD candidates for projects in machine learning for medical imaging. This is an exciting opportunity to join a leading research team and work on cutting-edge projects in the intersection of AI and healthcare.
PhD Positions in AI for Medical Imaging
Designation: PhD Candidate
Research Area:
- Machine Learning for Medical Image Analysis
- Weakly and Self-Supervised Learning
- Integration of Multimodal Clinical Data with Medical Images
Location:
- Campus Garching and Campus Klinikum Rechts der Isar, Technical University of Munich (TUM), Germany
Eligibility/Qualification:
- Master’s degree in Computer Science or a related discipline
- Research experience in medical imaging, computer vision, or machine learning, preferably with a scientific publication
- Proficiency in Python and deep learning libraries such as PyTorch or TensorFlow
- Strong analytical and problem-solving skills
- Excellent communication and interdisciplinary skills
- Fluency in written and spoken English
Job Description:
- Join an international team of scientists specializing in machine learning, computer vision, and medical imaging
- Engage in innovative research projects with access to large multimodal datasets and advanced computing resources
- Employment as full-time academic staff with the opportunity to pursue a doctoral degree
- Compensation based on the Collective Agreement for the Civil Service of the Länder (TV-L)
How to Apply: Submit your application, including:
- CV
- Transcripts
- Short research statement outlining the fit between you and the research group Combine all documents into a single PDF file and send it to office@aim.cit.tum.de.
Last Date for Apply: 17 July 2024
Additional Information: TUM is committed to increasing the representation of women in its workforce and strongly encourages applications from qualified women. The position is suitable for disabled persons, and such applicants will be given preference in cases of equivalent suitability, aptitude, and professional performance.
Data Protection: By applying, you acknowledge TUM’s data protection information regarding the collection and processing of personal data as outlined in Art. 13 of the General Data Protection Regulation (GDPR).
Contact: office@aim.cit.tum.de
Join us at TUM and contribute to groundbreaking research in AI for healthcare!
