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- Aufgaben: Leverage AI to tackle pressing health research questions and develop innovative software.
- Arbeitgeber: Join Helmholtz Association, Germany's largest research organization focused on impactful scientific advancements.
- Mitarbeitervorteile: Enjoy 30 days of leave, flexible hours, and support for relocation in a diverse work environment.
- Warum dieser Job: Make a real difference in health research while collaborating with top scientists in a vibrant international team.
- Gewünschte Qualifikationen: PhD in relevant fields with experience in Deep Learning and biomedical applications required.
- Andere Informationen: Home office options available; commitment to diversity and inclusion in hiring.
Das voraussichtliche Gehalt liegt zwischen 43000 - 60000 € pro Jahr.
AI Consultant in Health Research – Postdoc (f/m/x)
AI Consultant in Health Research – Postdoc (f/m/x) 102566
- Full time
39hrs./week - 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 Helmholtz Munich. Our mission is to enable research scientists to leverage AI methods optimally.
The Munich AI consultant team focuses 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.
You will:
- 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 in 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:
- 30 days annual leave, flexi days, plus public holidays
- Support with the relocation and integration process in Germany
- Flexible working hours and flexi-time model
- On-site kindergarten, holiday care, care for the elderly
If you fulfill all the requirements, you may be eligible for a salary grade of up to E13. 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 at , who will be happy to help.
Your application should include:
- CV
- Contact details for at least two referees
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AI Consultant in Health Research - Postdoc (f/m/x) Arbeitgeber: Scholarshipdb
Kontaktperson:
Scholarshipdb HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AI Consultant in Health Research - Postdoc (f/m/x)
✨Tip Number 1
Familiarize yourself with the latest AI methods and their applications in health research. This will not only help you during the interview but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI and health research community. Attend relevant conferences or webinars to connect with potential colleagues and learn about ongoing projects that align with your expertise.
✨Tip Number 3
Prepare to discuss specific examples of your work with deep learning architectures, especially in biomedical tasks. Being able to articulate your experience clearly will set you apart from other candidates.
✨Tip Number 4
Showcase your collaborative spirit by highlighting any past experiences where you worked with diverse teams. The ability to communicate effectively with different stakeholders is crucial for this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AI Consultant in Health Research - Postdoc (f/m/x)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your PhD degree and relevant experience in AI, particularly in biomedical tasks. Emphasize any work with deep learning architectures and multimodal representation learning.
Highlight Relevant Experience: In your application, clearly outline your track record in applying state-of-the-art AI methods. Include specific projects or research that demonstrate your expertise in medical imaging, drug discovery, or similar fields.
Prepare Referee Contacts: Include contact details for at least two referees who can vouch for your skills and experience in AI and health research. Make sure to inform them beforehand so they are prepared to provide a reference.
Express Your Motivation: In your cover letter, convey your enthusiasm for the role and the opportunity to contribute to significant societal questions through AI. Discuss your open mindset and team spirit, as these qualities are valued by the organization.
Wie du dich auf ein Vorstellungsgespräch bei Scholarshipdb vorbereitest
✨Showcase Your AI Expertise
Be prepared to discuss your experience with state-of-the-art Deep Learning architectures, especially in biomedical tasks. Highlight specific projects where you've applied these methods, particularly in medical imaging or drug discovery.
✨Demonstrate Your Communication Skills
Since the role involves interacting with various stakeholders, practice explaining complex AI concepts in simple terms. This will show that you can bridge the gap between technical and non-technical audiences.
✨Emphasize Your Team Spirit
The position requires a strong team spirit. Share examples of how you've successfully collaborated with others in past projects, especially in interdisciplinary settings, to demonstrate your ability to work well in a team.
✨Prepare for Questions on Open-Source Contributions
As the role involves developing and maintaining open-source AI scientific software, be ready to discuss any contributions you've made to open-source projects. This shows your commitment to the community and your technical skills.
