Computer Vision Engineer in Health Research (f/m/x)
Full time39 h/week
Neuherberg near Munich
Home Office Options
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 focussing 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)
"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
You will develop machine learning (ML) methods for unique imaging data sets generated by renowned researchers. 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 tasks will include:
- 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
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
- Scientific Resources: State-of-the-art infrastruture and Core Facilities
- 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
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?
- CV
- Cover letter
- Degrees/Diplomas/Certificates
- Contact details for at least two referees
