Postdoc (f/m/x) in Deep Learning and Digital Pathology
Postdoc (f/m/x) in Deep Learning and Digital Pathology
Postdoc (f/m/x) in Deep Learning and Digital Pathology
Postdoc (f/m/x) in Deep Learning and Digital Pathology
Helmholtz Zentrum München
Forschung
Oberschleißheim
- Art der Beschäftigung: Vollzeit
- 50.500 € – 74.500 € (von XING geschätzt)
- Hybrid
Postdoc (f/m/x) in Deep Learning and Digital Pathology
Über diesen Job
Postdoc (f/m/x) in Deep Learning and Digital Pathology
102827
Partial Home Office possible
At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives.
The Horvath Lab at the Institute of AI for Health (AIH) aims to build large deep learning models for digital pathology to resolve single cell heterogeneity and identify subtle cellular differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones.
The postdoc (f/m/x) will build robust single cell-based foundation models on digital pathology images and will combine AI with our latest Deep Visual Proteomics workflow.
For more information: http://group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html
Your tasks
- Building large scale foundation models
- Applying and further developing single cell segmentation methods
- Supervising a small team of PhD and MSc students
- Developing new foundations of augmentations for digital pathology
- Potentially developing multi-scale AI models for cancer patient stratification combining LLMs, molecular measurements, and multi-scale imaging.
Your profile
- PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis or machine learning, proficiency in deep learning techniques (CNN, VIT, diffusion, GAN)
- Good understanding of the mathematical foundations of machine learning
- Mastering python and related AI software technologies
- Proficiency in English
- Experience in parallel training of large DL models is a plus
While the position will be a team effort, it is a multicenter project and thus independence and capability to remotely work with the other half of the team located in Szeged will often be required.
If you fulfill 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.
Managing Director Mike Frieser:
"We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful."
Postdoc program, scientific training & career center with tailored offers
Family Support
On-site kindergarten, holiday care, care for the elderly
Health Promotion
Sports, company doctor, mental health initiatives
International Staff Service
Support with the relocation and integration process in Germany
Scientific Resources
State-of-the-art infrastructure and Core Facilities
Recreation
30 days annual leave, flexi days, plus public holidays
- 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
Interested in applying?
If you have any questions, feel free to contact Peter Horvath, peter.horvath@helmholtz-munich.de, who will be happy to help.
Our recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future.
More information about our application process
Please send your application only via our online application tool and with the following documents:
- CV
- References from recent employers
- your future research plan (3 pages max.)
- CV
- Cover letter
- Degrees/Diplomas/Certificates
- Contact details for at least two referees
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.
AI for Health