德国亥姆霍兹慕尼黑研究中心2025年招聘博士后（人工智能方向）

AI Consultant in Health Research - Postdoc (f/m/x)

Employer

Helmholtz Munich

Location

Munich (Landkreis), Bayern (DE)

Salary

salary grade of up to E 13

Closing date

Jan 22, 2025

AI Consultant in Health Research - Postdoc (f/m/x) 102566

Full time

39 hrs./week

Neuherberg

near Munich

Home office options (up to 3 days a week, not fully remote)

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 the Helmholtz 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 AI to answer questions of great societal importance in a vibrant international environment.

To join our growing team, we are inviting applications for

AI Consultant in Health Research – Postdoc (f/m/x)

You will develop AI-based analytics for the unique data sets generated by renowned researchers, with a focus on health applications. You will also play a crucial role in achieving our long-term goal of facilitating open access to AI expertise through interdisciplinary collaborations and dissemination.

Your tasks

apply and disseminate emerging AI methods to solve concrete research questions

develop and maintain open-source AI scientific software

continuously learn about state-of-the-art AI methods and their applications

be a point of contact for questions related to AI and provide critical assessments

be a fundamental part of one of the largest scientific AI initiatives in Europe

Your profile

PhD degree in computer science, engineering, mathematics, physics, bioinformatics or another field related to data science

track record in applying state-of-the-art Deep Learning architectures (e.g. transformers) to biomedical tasks, ideally in medical imaging, drug discovery or multi-omics data

proficiency implementing state-of-the-art vision-language models or generative models

experience with multimodal representation learning and model alignment

systematic way of working, and the ability to communicate clearly with different stakeholders

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

Family Support

On-site kindergarten, holiday care, care for the elderly

Work-Life-Balance

Flexible working hours and flexi-time model

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. The position offers home office options of up to 3 days per week, therefore it cannot be offered as a fully remote position.

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 Dr. Marie Piraud, marie.piraud@helmholtz-munich.de, who will be happy to help.

Your application should include

Publication list

CV

Contact details for at least two referees

Helmholtz Munich

Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)

Helmholtz AI

Ingolstädter Landstraße 1

85764 Neuherberg