Postdoc in causal representation learning (f/m/x)
Full time39 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 Helmholtz AI: This dedicated, interdisciplinary platform develops and promotes applied Artificial Intelligence (AI) methods for all Helmholtz centers in collaboration with its external and university partners. Its central unit is implemented at Helmholtz Munich.
Helmholtz Munich is globally recognized for innovations in data science and applied machine learning (ML), e.g. by hosting the national platform Helmholtz AI. To further strengthen ML method development, we are intensifying our integration with the European Lab for Learning and Intelligent Systems (ELLIS) via ELLIS Munich.
To join our growing team, we are inviting applications for Post-doctoral researcher in causal representation learning (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
- running our project in representation learning, transfer and out-of-distribution learning as well as structured representations including object centric representations
- generating the hypotheis, developing strategies and solving problems in machine learning
- selecting, developing and using AI methods for analysing diverse applications
- supervising students with your hands-on exeprience in arteficial intelligence and machine learning
- managing existing and upcoming projects
Your profile
- experience with popular Deep Learning Frameworks
- excellent theoretical or practical experience in machine learning
- hands-on experience with Artificial Intelligence and Machine Learning
- 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 14. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). This position is for a fixed term of 1-2 years.
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?
- Research Statement
- PhD thesis
- CV
- Cover letter
- Degrees/Diplomas/Certificates
- Contact details for at least two referees
