🔹 Job Summary
The CIRCLE Research Group at Imperial College London, led by Prof. Tolga Birdal (UKRI Future Leaders Fellow), is inviting applications for fully funded Postdoctoral Research Associate (PDRA) positions in the emerging field of Topological Deep Learning.
This role focuses on advancing cutting-edge research at the intersection of machine learning, algebraic topology, differential geometry, and computer vision, with applications spanning 3D generative modeling, molecular systems, and physical simulations.
Successful candidates will contribute to both theoretical innovations and real-world AI4Science applications, working within a highly collaborative and internationally recognized research environment.
📊 Summary Table
| Category | Details |
|---|---|
| Position Title | Postdoctoral Research Associate (PDRA) |
| Research Area | Topological Deep Learning, AI4Science |
| Location | Department of Computing, Imperial College London, UK |
| Position Type | Full-Time |
| Contract Duration | 1–2 Years |
| Start Date | Flexible (2026) |
| Funding | Fully Funded (UKRI Future Leaders Fellowship) |
| Application Mode | Rolling Basis |
| Last Date to Apply | Open until filled |
🎓 Designation
Postdoctoral Research Associate (PDRA)
🔬 Research Area
- Topological Deep Learning
- Geometric Machine Learning
- Computer Vision & 3D Vision
- Generative Models
- Molecular & Physical System Modeling
- AI for Science (AI4Science)
📍 Location
Department of Computing
Imperial College London
South Kensington, London, United Kingdom
✅ Eligibility / Qualification
Applicants must meet the following criteria:
- PhD in Computer Science, Mathematics, or a related field
- Strong research track record in top-tier venues such as:
- NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV
- Solid background in mathematics (especially algebraic topology & differential geometry preferred)
- Hands-on experience with deep learning frameworks:
- PyTorch / JAX (mandatory)
- Excellent written and spoken English skills
Preferred Qualifications:
- Experience in protein/molecular modeling
- Familiarity with TopoX software
- Strong collaborative and mentoring abilities
💼 Job Description
The selected candidate will:
- Conduct original research in topological and geometric deep learning
- Design and develop novel algorithms for AI4Science applications
- Collaborate with interdisciplinary experts across ML, CV, and mathematics
- Publish research in top-tier venues (NeurIPS, ICML, CVPR, ICLR, etc.)
- Implement solutions using modern DL frameworks (PyTorch/JAX)
- Contribute to projects in:
- 3D Vision
- Generative Models
- Molecular Modeling
- Mentor PhD and MSc students
- Present work at international conferences and workshops
- Contribute to grant proposals and collaborative initiatives
🌟 What We Offer
- Opportunity to work in a leading research group (CIRCLE) in topological deep learning
- Collaboration with a diverse team of PhDs and PostDocs
- Access to world-class research infrastructure
- Dedicated mentorship with academic independence
- Competitive salary and benefits (including 38 days annual leave)
- Fully funded conference travel and research dissemination
- Work at a top-ranked Computer Science department (REF 2021, UK)
📨 How to Apply
Interested candidates should apply as early as possible, as applications are reviewed on a rolling basis.
For more details or inquiries, contact:
Prof. Tolga Birdal
📧 Email: tbirdal@imperial.ac.uk
Explore the research group:
🔗 https://circle-group.github.io/team/
⏳ Last Date to Apply
Open until the position is filled (Rolling Applications)
Early applications are strongly encouraged.
🌍 Equality, Diversity & Inclusion
Imperial College London is committed to equality of opportunity and welcomes applications from candidates of all backgrounds. Applications from underrepresented groups in computing and machine learning are especially encouraged.
