Are you a researcher eager to push the boundaries of topological and geometric machine learning? Join the CIRCLE group at Imperial College London, led by Dr. Tolga Birdal, in a fully funded postdoctoral research role to lead transformative projects spanning theoretical research and practical applications.
The CIRCLE group at Imperial is seeking highly motivated and talented Postdoctoral Research Associates (PDRAs / PostDocs), who have demonstrated competence in conducting cutting-edge research. The positions are fully funded in the context of Prof. Birdal’s UKRI Future Leaders Fellowship, and focus on the design, development, and application of topological and geometric machine learning techniques, with a view to solving complex problems in areas ranging from 3D generative models to modelling proteins and molecules. Successful candidates will be involved in projects exploring novel ways to incorporate topological structures into deep learning pipelines, contributing to both theoretical advancements and practical applications. To this end, the project integrates state-of-the-art knowledge from different disciplines such as algebraic topology, differential geometry, machine learning, and computer vision.
Design and implementadvanced machine learning pipelines leveraging topological and geometric principles on complex data structures.Pioneer new algorithmsfor topological deep learning (TDL), including cutting-edge generative models, operator networks, and equivariant architectures etc.Deploy TDL toolson to learn on intricate data representations such as boundary representations (BRep), molecular structures, and higher-order networks, transforming fields from CAD modelling to biomolecular science.Architect next-gen TDL systemsto tackle challenging applications in 3D scene and CAD modelling, protein generation, and the analysis of emergent abilities in deep networks.Lead the development and maintenanceof TopoX, our flagship TDL software package.Foster collaborationswith industry partners to ensure our research translates into impactful, real-world applications.Mentor a team of researchers and engineers, ensuring the alignment of project goals and team objectives.Represent our lab at leading conferences and workshops, showcasing pioneering research and innovations.
You will hold a PhD in Computer Science, Mathematics, Physics or a closely related discipline, or equivalent research, industrial experience.*Practical experience within a research environment and publication in relevant and refereed journals / conferencesExperience of dealing with industry partners and research collaboratorsOutstanding skills in algebraic topology and other related mathematical techniquesPractical experience in a broad range of techniques including graph/topological neural nets, computer visionKnowledge of programming proficiency in frameworks such as PyTorch or TensorFlowKnowledge of research methods, experimentation and statistical procedures
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. Salary Range £43,003 - £46,297 per annum.
The opportunity to continue your career at a world-leading institution Sector-leading salary and remuneration package (including 38 days off a year)
