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?
Germany’s largest research organization, the Helmholtz Association, launched Helmholtz AI: This dedicated, interdisciplinary platform develops and promotes applied Artificial Intelligence (AI) methods for the Association’s main research fields (Health, Energy, Earth and Environment, Information, Space, Matter) in collaboration with its external and university partners. Its central unit operates at Helmholtz Munich in Munich.
Our mission is to enable research scientists to leverage AI methods optimally. The Munich AI consultant team is focusing on Health and collaborates with researchers from the whole Helmholtz Association on projects on cancer and infection research, molecular medicine, as well as neurodegenerative and environmental diseases. We offer you the unique opportunity to use your expertise in software development to answer questions of great societal importance in a vibrant international environment.
To join our growing team, we are inviting applications for:
Computer Vision Engineer in Health Research (f/m/x)
Your tasks
- Developing machine learning (ML) methods for unique imaging data sets generated by renowned researchers
- Applying and disseminating emerging ML/AI methods to deliver data-driven insights and solve concrete research questions
- Developing and maintaining open-source scientific software
- Continuously learning about state-of-the-art computer vision methods and their applications
- Being a fundamental part of one of the largest scientific AI initiatives in Europe
You will also play a crucial role in achieving our long-term goal of facilitating open access to ML expertise through interdisciplinary collaborations and dissemination.
Your profile
- A master or PhD degree in computer science, machine learning or another related field
- A track record in computer vision and machine learning, ideally combined with a specific background in healthcare or biology
- Experience implementing state-of-the-art deep learning methods in Python, using Git/Github
- A high degree of autonomy, excellent problem-solving skills, and the ability to communicate clearly with different stakeholders
- An open and curious mindset with a strong team spirit
Benefits
- Career Development Postdoc program, scientific training & career center with tailored offers
- Recreation 30 days annual leave, flexi days, plus public holidays
- International Staff Service Support with the relocation and integration process in Germany
- Health Promotion Sports, company doctor, mental health initiatives
- Scientific Resources State-of-the-art infrastructure and Core Facilities
- Work-Life-Balance Flexible working hours and flexi-time models
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.
