29 Feb 2024
Job Information
- Organisation/Company
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt- Research Field
Medical sciences- Researcher Profile
Recognised Researcher (R2)
Established Researcher (R3)- Country
Germany- Application Deadline
13 Mar 2024 - 22:59 (UTC)- Type of Contract
To be defined- Job Status
Other- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Area of research:
Scientific / postdoctoral posts
Job description:Open Topic Postdoc (f/m/x) in Machine Learning
102355
Full time
Neuherberg near Munich
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?
We are a newly established institute at Helmholtz Munich and a new research chair at the Technical University of Munich focusing on developing explainable machine learning models for vision and language tasks establishing weakly supervised multimodal learning and compositionality into the decision making process.
We do cutting edge research: we publish our research at top-tier conferences; we are an active member of our community: we review papers, organize workshops, tutorials; we are educators: we teach seminars at the TUM. Apart from that, we think that we are a fun group to join. We like playing table football, bringing cake to lab meetings, retreats, joint lab meetings with other labs, and thursday dinners. We take equal opportunities and inclusivity seriously. You can learn more about our research and social activities at our website.
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 trategy 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
Possible topics for this position include, but are not limited to, the following:
- Multimodal Learning, i.e. with vision, language, audio, video etc.
- Explainable Machine Learning
- Understanding Large Foundational Models, i.e. LLMs, VLMs
- Scene Understanding and Compositionality
- Low-shot Learning, Weakly Supervised Learning, Domain Adaptation
Your profile
The ideal candidate should:
- hold a Ph.D. in computer science, machine learning, computer vision, natural language processing, or any other computational field
- have proven track record of top-tier publications,
- have solid programming skills, and
- have experience managing projects.
Some elements to highlight in your application include
- your prior publications related to your PhD in ML, Vision or NLP fields
- evidence of self-motivation and independence
- If you have experience working with students, that is a big plus.
Benefits
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 Iuliana Georgescu, [email protected] , who will be happy to help.
Your application should include
13.03.2024
We are Helmholtz Munich.
Why join us?
Read more
Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Explainable Machine Learning
Ingolstädter Landstraße 1
85764 Oberschleißheim
This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.
Requirements
Additional Information
- Website for additional job details
https://jobs.helmholtz-muenchen.de/jobposting/9b869641c4a82c633d6fcf6736243c7bd…
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Country
- Germany
- City
- Neuherberg (bei München)
- Geofield
Where to apply
- Website
https://jobs.helmholtz-muenchen.de/jobposting/9b869641c4a82c633d6fcf6736243c7bd…
Contact
- City
Neuherberg- Website
https://www.helmholtz-muenchen.de/en- Street
Ingolstädter Landstraße 1- Postal Code
85764
[email protected]- Phone
+49 89 3187-0- Fax
+49 89 3187-3322
STATUS: EXPIRED