Postdoctoral in Geometric Deep Learning: AITHYRA, the Research Institute of Biomedical Artificial Intelligence of the Austrian Academy of Sciences, in collaboration with the Technical University of Vienna (TU Wien), is offering an exciting postdoctoral opportunity in the field of Geometric Deep Learning. The research focuses on applications in biology and scientific discovery, leveraging cutting-edge techniques in AI and machine learning to tackle challenges in the life sciences.
The successful candidate will engage in interdisciplinary research across various core themes including multi-modal reasoning, surrogate models for complex scientific systems, deep learning on graphs with higher-order structures, and the theoretical foundations of geometric deep learning. This is an exceptional opportunity to work within world-class research ecosystems, contributing to the advancement of AI in science.
Postdoctoral Researcher Position in Geometric Deep Learning & AI for Science (f/m/d)AITHYRA, in collaboration with the Technical University of Vienna
Summary Table
| Position | Postdoctoral Researcher – Geometric Deep Learning & AI for Science |
|---|---|
| Institution | AITHYRA & Technical University of Vienna |
| Location | Vienna, Austria |
| Research Area | Geometric Deep Learning, AI, Computational Biology, Machine Learning |
| Duration | 3+ years employment contract |
| Eligibility | PhD or near completion in related fields (see qualifications) |
| Application Deadline | August 31, 2025 |
Designation
Postdoctoral Researcher
Research Area
- Geometric Deep Learning
- AI for Science
- Computational Biology
- Graph Machine Learning
- Interdisciplinary Scientific Applications
Location
Vienna, Austria
Eligibility/Qualification
- PhD (or near completion) in computer science, machine learning, mathematics, computational biology, or a related field
- Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, JMLR, AAAI)
- Experience with modern deep learning frameworks (PyTorch, JAX, TensorFlow)
- Expertise in at least one of the following areas: graph learning, scientific computing, surrogate modeling, or ML theory
- Interest in interdisciplinary research and solving real-world scientific problems
Job Description
The successful candidate will have the opportunity to contribute to the following core themes:
- Large Pre-Trained Models for Multi-Modal Reasoning
Integrating graph-based foundation models with large language models to enable automated hypothesis generation and scientific discovery. - Deep Surrogate Models for Complex Scientific Systems
Building deep learning-based models that approximate complex systems, applying these to areas like protein folding and gene regulation. - Deep Learning on Graphs with Higher-Order Structures
Developing neural architectures for complex relational structures such as hypergraphs and simplicial complexes. - Theoretical Foundations of Geometric Deep Learning
Exploring foundational aspects of graph neural networks and geometric deep learning in various scientific contexts.
How to Apply
- Online Application
- Materials to Submit:
- Curriculum Vitae (CV), including a full publication list
- A short research statement (1–2 pages) explaining your interests and fit for the position
- Names and contact information for two references
Application Deadline: August 31, 2025
Applications will be reviewed immediately and until the position is filled.
We Offer
- A dynamic and collaborative research environment at the intersection of AI and life sciences
- Access to top-tier computational infrastructure and expert collaborators
- Flexibility to shape your own research within the project themes
- Close mentorship from leading researchers in geometric deep learning
- Competitive salary and benefits
- A 3+ years employment contract
Living and Working in Vienna
Vienna is a global hub for research and culture. With its rich history, world-class art, music, and cuisine, the city offers a vibrant lifestyle and exceptional living standards. Renowned for its public infrastructure and healthcare, Vienna is consistently ranked as one of the most livable cities globally.
Diversity and Inclusion
AITHYRA is committed to fostering a diverse and inclusive environment. We strongly encourage applications from individuals of all backgrounds, particularly those underrepresented in AI and scientific research.
For more information about the institute and the position, visit:
AITHYRA Official Website
TU Wien Official Website
