Postdoc - Institute of AI for Health (f/m/x)
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?
The Institute of AI for Health develops solutions for digital health challenges. As an emerging European hub for applied artificial intelligence (AI) and machine learning (ML), we aim at modeling large-scale, high throughput biomedical data, developing new drugs and treatments, analyzing biomedical images, and integrating multi-omics data for precision medicine.
The newly established lab of Prof. Ewa Szczurek is looking for postdoctoral researchers with a keen interest in joining a multidisciplinary team in the field of computational medicine. Our team works on projects involving processing, analysis, and modeling of state-of-the-art single-cell omics and spatial data, as well as generative AI for design of antimicrobial peptides.
Your tasks
A particular focus will be on novel computational, artificial intelligence methods in application to biomedical data. The projects involve strong collaborations with international experimental partners. Specifically, the projects offer the exciting possibility to substantially contribute to and conceive future studies addressing the following aspects:
- Development of novel generative AI methods for antimicrobial peptide discovery
- Design and implementation of foundational models for single cell data
- Development of novel methods for analysis of spatial single cell data
Applications include spatial data from cancer patients, single cell RNA-seq and spatial data from patients in ICU with pneumonia, as well as antimicrobial peptides. In our various collaborations with clinical and industrial partners, we work on scientific questions and solutions with direct impact for healthcare and diagnostics.
Your profile
- PhD in bioinformatics, biostatistics, computer science, AI, or a related field.
- Expertise in the analysis and interpretation of molecular data (single cell, spatial or molecule data).
- Strong programming skills combined with a mathematical mindset.
- Evidence of the ability to conduct high-quality research and produce publications in top-tier journals.
- Experience in addressing clinical and biomedical questions.
Interested in applying?
If you have any questions, feel free to contact Dr. Ewa Szczurek, ewa.szczurek@helmholtz-munich.de, who will be happy to help.
Your application should include
- CV
- Cover letter
- Degrees/Diplomas/Certificates
- References from recent employers
- Contact details for at least two referees
