AI Postdoc in the Helmholtz Foundation Model Initiative (f/m/x)

at  Helmholtz Zentrum Mnchen

102503
Full time
39 h/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?
Germany’s largest research organization, the Helmholtz Association, launched : 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.
To join our growing team, we are inviting applications for AI Scientist in the Helmholtz Foundation Model Initiative.
Prof. Matthias Tschöp (Dr. Med., Dr. hc.), CEO of Helmholtz Munich: “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

• benchmark compositional and modular learning paradigms and workflows on a broad range of large-scale scientific data sources from various domains.
• derive generalizing principles and best practices to streamline foundation model development for novel data domains.
• to this end collaborate closely with the HFMI Pilot Projects and further foundation model efforts in the community.
• engage in community building and outreach events to ensuring lasting impact of the initiative.

Furthermore, you will guide PhD and Master thesis projects and contribute to interdisciplinary projects within Helmholtz and in additional international collaborations.

Your profile

• PhD in computer science, physics, mathematics or a related field.
• Ideally: PhD with relevant machine learning focus.
• Experience with large-scale HPC and Deep Learning Frameworks.
• Excellent analytical, technical, and problem solving skills.
• Experience in supervision of students.

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.
Interested in applying?
If you have any questions, feel free to contact Stefan Bauer, stefan.bauer@helmholtz-munich.de, who will be happy to help.

Your application should include

• Research Statement
• PhD Thesis
• CV
• Cover letter
• Degrees/Diplomas/Certificates
• Contact details for at least two referees

We are Helmholtz Munich.
Why join us?
Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Helmholtz AI
Ingolstädter Landstraße 1
85764 Oberschleißhei

• benchmark compositional and modular learning paradigms and workflows on a broad range of large-scale scientific data sources from various domains.
• derive generalizing principles and best practices to streamline foundation model development for novel data domains.
• to this end collaborate closely with the HFMI Pilot Projects and further foundation model efforts in the community.
• engage in community building and outreach events to ensuring lasting impact of the initiative