Research Associate


The Op successful candidate will be supervised by Dr Hakan Bilen. There will be opportunities to collaborate with VGG at the University of Oxford and University of Bristol, and research groups in the School of Informatics.The objectives of the project are to investigate zero-shot and few-shot strategies in the wild that can be used to understand a broad variety of data sources and tasks, many of which are at least partially unknown when the system is designed.To apply please include: • a brief statement of research interests (describing how past experience and future plans fit with the advertised position) • complete CV, including list of publications • the names and email addresses of two references.Your skills and attributes for success: Essential • PhD (or near completion) in Computer Vision, Machine Learning, or closely related area, • Strong publication record at top computer vision and/or machine learning conferences (CVPR, ICCV, ECCV, NIPS, ICML, ICLR) and journals (PAMI, IJCV), • Very good programming skills in a deep learning library (e.g. PyTorch, TensorFlow), • Ability to work independently and manage own academic research and associated activities, • Highly motivated and willing to work with PhD students, • Proficient in English, both written and spoken.Other project details: With the advent of large labelled datasets and high capacity models, the performance of machine vision systems has been improving rapidly. However, the technology has still major limitations, starting from the fact that different vision problems are still solved by different models, trained from scratch or fine-tuned on the target data. This project will investigate whether neural networks may learn universal feature representations that can be used to perform various computer vision tasks in different visual domains.Informal enquiries should be directed to Dr Hakan Bilen: Click here for a copy of the full job descriptionAs a valued member of our team you can expect: An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits pension scheme , staff discounts, family friendly initiatives , flexible working and much more. Access our staff benefits page for further information and use our reward calculator to find out the total value of pay and benefits provided. The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.If invited for interview you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office's English Language requirements and apply for and secure a Tier 2/Skilled Worker Visa

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