Postdoc Position Geometric Deep Learning at Imperial College London

The Department of Computing is a leading department of Computer Science among UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises (RAE) and is rated 10th in the world by the Times Higher Education International Outlook. This post will be based at the South Kensington Campus.

An exciting opportunity has arisen for a research assistant to work under the direction of Prof Michael Bronstein.

The main aim of the project is to develop next-generation machine learning methods for graph- and manifold structured data, and apply them to a set of challenging problems from the domains of computer vision, pattern recognition, graphics, and medicine.

Within the project, the Research Associate will be responsible for the development of effective and efficient machine learning algorithms for deep learning on graph, focusing on generative models such as VAE or GAN. The applicant is expected to publish his/her works in top conferences (CVPR, ICCV, ECCV, ICML, and alike) and journal papers (TPAMI, IJCV, TAC, TIP, and other high-impact journals).

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range 34,397 – 37,486 per annum.

For applications queries please contact Jamie Perrins at j.perrins@imperial.ac.uk

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published.For more information, seehttps://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College's care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/