PostDoc in AI-enabled medical imaging (f/m/x)
Full time39 hrs./week
Neuherberg near Munich
Home Office Options
We are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions for better health.
Our research is focused within the areas of metabolic health/diabetes, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development.
Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate the transfer of our research, so that laboratory ideas can reach society and improve people’s quality of life at the fastest rate possible.
This is what drives us. Why not join us and make a difference?
The Institute of Machine Learning in Biomedical Imaging (IML) focuses on research to leverage machine learning for the grand challenges in biomedical imaging in areas of unmet clinical need. Its goal is to fundamentally transform the use of imaging for diagnostics and prognostics. Novel and affordable solutions should empower clinics to make more accurate, fast and reliable decisions for early detection, treatment planning and improved patient outcome.
We believe that excellent research requires a range of different perspectives. Diverse teams reach better solutions and are more innovative in their research topics.
Establishing our Diversity Management Strategy demonstrates our commitment to ensuring an appreciative company culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization.
Your tasks
The successful candidate (f/m/x) will push the limits of machine/deep learning research in one or more of the following hot-topic medical imaging projects that form the four pillars of the new Institute:
- Machine learning for advanced imaging: You will develop and explore novel machine learning methods by tight coupling to the physics of imaging formation, including affordable or newly emerging imaging solutions, and/or explicitly embedding disease or response models.
- Machine learning for early detection and improved outcome: You will develop and explore novel machine learning models to predict whether or not a patient will respond to a specific form of therapy, or whether disease is likely to recur after completed treatment.
- Machine learning for large population databases: You will develop large-scale machine learning solutions that will link to different diseases, and/or relate different, complementary imaging modalities, biomarkers and molecular features to one another.
- Machine learning for the clinic: You will innovate methods for domain generalisation, realistic data augmentation, and federated learning, to deploy machine learning methods that have been trained on well curated data more readily to clinical patient data.
The successful candidate (f/m/x) is expected to publish in peer-reviewed journals and to participate in international conferences. The supervision of students and doctoral candidates, contribution to teaching and application for funding are also expected.
Your profile
- Holding an excellent MSc and PhD degree in the field of applied mathematics, computer science/informatics, engineering, (medical) physics or comparable applied / natural sciences
- Good publications track record in the relevant journals (e.g. IEEE Transactions in Medical Imaging, MedIA, MELBA, Nature Machine Intelligence…)
- Profound knowledge in machine-learning for (medical) imaging and strong affinity to apply this in the field in one or more of the mentioned medical imaging projects
- Strong programming skills especially in python and the relevant deep learning libraries (pytorch or tensorflow)
- Experience in git and other version control
- Independent, pro-active, structured and solution-oriented work attitude, analytical thinking, above-average commitment and enjoyment of working in an international and collaborative environment
- Experience and willingness of working in a multidisciplinary team, incl. clinicians and medical physicists
- Strong scientific communication and presentation skills in English
- First experiences in third-party fundraising and teaching experience are desirable
Benefits
Since 2005, we hold the TOTAL E-QUALITY award for exemplary action in the sense of an equal-opportunity organizational culture.
Helmholtz Munich is actively committed to diversity and inclusion in practice and is sustainably committed to equality.
The Diversity Charter has set itself the goal of promoting diversity in the world of work. By signing the charter, we commit ourselves to create an appreciative working environment for all employees.
If you fulfil all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term of 2 years but may be extended under certain circumstances.
We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree. Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.
