102623
Full time
39 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. 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.
Join us and use your talents and passion as we work together to drive forward scientific progress.
The
Institute of Machine Learning in Biomedical Imaging (IML) focuses on pioneering research to harness the power of machine learning in tackling pressing challenges in biomedical imaging. With a mission to revolutionise diagnostic and prognostic capabilities, IML develops novel and accessible solutions that empower clinicians to make faster, more accurate, and reliable decisions. Under the leadership of Julia Schnabel, the institute’s research emphasises applications in cancer, cardiovascular diseases, and maternal/perinatal health.
We are seeking a highly motivated
Postdoc (f/m/x) to advance research in the field of Virtual Reality (VR), aiming to develop innovative tools for improved visualisation, interaction, and decision-making in biomedical imaging and clinical applications. The position is available from 1st March 2025.
Prof. Dr. Julia Anne Schnabel, Head of Institute of Machine Learning in Biomedical Imaging (IML)
: "My research focus is on developing novel machine learning solutions for medical imaging applications, such as early detection and characterisation of disease, and prediction of treatment outcome."
Your tasks
As our new
Postdoc (f/m/x) in Virtual Reality (VR), you will play a pivotal role in transforming biomedical imaging and clinical decision-making.
Your focus will be on one or more of these exciting areas:
- Drive innovation in VR visualisation: Develop immersive tools that enable you and your collaborators to explore complex biomedical imaging data in entirely new ways, uncovering insights that traditional methods might miss.
- Shape the future of personalised medicine: Use VR to create patient-specific simulations, helping clinicians visualise diagnostic and prognostic scenarios and make better treatment decisions.
- Empower clinicians with VR solutions: Design VR applications that integrate imaging data and machine learning predictions, giving healthcare professionals intuitive tools to enhance their workflows.
- Put users first: Create VR experiences that are not only cutting-edge but also user-friendly and accessible to researchers and clinicians alike.
What we expect from you:
- Share your research through publications in renowned journals and by presenting your insights at prestigious international conferences, showcasing your work to a global audience.
- Guide and mentor students and doctoral candidates, sharing your expertise to help them succeed.
- Take part in teaching activities within the institute and beyond.
- Proactively seek funding for your research and build collaborations to push boundaries even further.
Your profile
- You hold a PhD in computer science, biomedical engineering, applied mathematics, medical physics, or a related field.
- You have a proven track record of publications in top-tier journals (e.g., IEEE Transactions on Medical Imaging, Medical Image Analysis, Nature Machine Intelligence).
- You bring profound knowledge in Virtual Reality (VR) technologies and their applications, ideally in biomedical imaging or related fields.
- You have strong programming skills, particularly in Python and C/C++, and are proficient with relevant libraries (e.g., Unity, Unreal Engine, OpenVR, or other VR-related frameworks) and are experienced in software development practices, including version control (e.g., Git) as well as collaborative coding.
- You bring a thoughtful, well-organized, and collaborative approach to your work, combining analytical skills with creative problem-solving to proactively address challenges.
- You thrive in interdisciplinary environments, enjoying collaboration with clinicians, scientists, and engineers.
- You possess excellent communication and presentation skills, with fluency in spoken and written English.
Desirable Qualifications
- Familiarity with machine learning methods and their integration into VR environments.
- Experience in teaching or supervising students, and a willingness to share knowledge.
- Initial experience in securing third-party funding.
Benefits
- Work-Life-Balance: Flexible working hours and flexi-time models
- Personal Development: Continuous education and training
- Recreation: 30 days annual leave, flexi days, plus public holidays
- Family Support: child care, holiday care, care for the elderly
- Health Promotion: Sports, company doctor, mental health initiatives
- Retirement Provision: Company pension plan
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.
Interested in applying?
If you have any questions, feel free to contact Fr. Sandra Mayer, +4989318749207, who will be happy to help.
Your application should include
- CV
- Degrees/Diplomas/Certificates
- References from recent employers
We are Helmholtz Munich.
Why join us?
Read more
Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Machine Learning in Biomed Imaging
Ingolstädter Landstraße 1
85764 Oberschleißheim
