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.
What you would be doing
Design and implement advanced machine learning pipelines leveraging topological and geometric principles on complex data structures.
Pioneer new algorithms for topological deep learning (TDL), including cutting-edge generative models, operator networks, and equivariant architectures etc.
Deploy TDL tools on 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 systems to tackle challenging applications in 3D scene and CAD modelling, protein generation, and the analysis of emergent abilities in deep networks.
Lead the development and maintenance of TopoX, our flagship TDL software package.
Foster collaborations with 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.
What we are looking for
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 / conferences
Experience of dealing with industry partners and research collaborators
Outstanding skills in algebraic topology and other related mathematical techniques
Practical experience in a broad range of techniques including graph/topological neural nets, computer vision
Knowledge of programming proficiency in frameworks such as PyTorch or TensorFlow
Knowledge 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.
What we can offer you
The opportunity to continue your career at a world-leading institution
Sector-leading salary and remuneration package (including 38 days off a year)
Further information
Full time, fixed term appointment for 1 year to start February-2025 (or asap thereafter).
In addition to completing the online application, candidates should attach:
A full CV, with a list of all publications
A 1-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
Informal enquiries related to the position should be directed to Dr Toga Birdal: t.birdal@imperial.ac.uk.
For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk
回顾往期精彩内容
快到碗里来
!
