[visionlist] PhD Studentships in Computer Vision and Machine Learning at University of Surrey

Anjan Dutta anjan.dutta at surrey.ac.uk
Fri Apr 15 06:17:21 -05 2022


PhD Studentships in Computer Vision and Machine Learning at University of Surrey

Multiple fully funded PhD studentships are available at the Surrey Institute for People-Centred AI of University of Surrey, which should be commenced from 1st July 2022 or as soon as possible thereafter. Broadly the research areas are computer vision and deep learning. The studentships will cover UK or international tuition fees plus an annual tax-free stipend at standard UKRI rate for 3 years full-time and research training support grant (RTSG). The students will be based in the Centre for Vision, Speech, and Signal Processing (CVSSP) within the beautiful Stag Hill Campus of the University of Surrey.


Project Description: The PhD projects will contribute to the field of representation learning including a set of techniques allowing a system to automatically discover the representations needed for any downstream task from raw data. The successful PhD applicants are expected to advance the field of deep representation learning, propose new algorithms and novel experimental settings, and draw conclusions in the context of artificial intelligence, machine learning and computer vision. The students are expected to contribute to unsupervised learning, multi-view representation learning, learning from fewer labels, novel domain adaptation methods, semi, and weakly-supervised learning methods. The successful candidates will be working under the supervision of Dr Anjan Dutta (https://www.surrey.ac.uk/people/anjan-dutta) and must be able to work independently, as well as part of a group. They will also have the opportunity to work in close collaboration with the leading researchers within the CVSSP and across the world, and to benefit from research internships in leading industrial research labs.

Eligibility Criteria: Applicants for this studentship must have obtained, or be about to obtain, a first or upper second-class (2:1) UK honours degree, or the equivalent qualifications gained outside the UK, in a numerate discipline, such as computer science, physics, mathematics etc. The student should have a good understanding of linear algebra, probabilities, calculus etc., with a strong background in computing and Python programming. Moreover, good working experience with deep learning frameworks, such as PyTorch or TensorFlow, and hands-on skill on LaTex is also desirable.

If English is not your first language you will need to achieve at least 6.5 in IELTS and no less than 6.0 in any section by the start of the studentship. Alternative tests may also be acceptable, more information on that can be found at: https://www.surrey.ac.uk/apply/international/english-language-requirements. Please note if you haven’t already satisfied the above mentioned IELTS criteria yet, you can consider doing that after you receive an offer from us.

Funding Offer: The studentship is offered for 3 years; it covers salary in line with the UK Research and Innovation (UKRI) rate (£15,609 for 2021/22 and £16,602 for 2022/23) and university tuition fees. It also comes with research training support grant (RTSG) useful for attending summer school and/or conference travel.

Computational Resources: The University of Surrey is very well equipped in terms of computational resources for undertaking deep learning research. As a PhD student, you will receive a state-of-the-art workstation with a development GPU for prototyping. Moreover, you will have access to AI Surrey’s compute cluster and big data infrastructure which includes more than 200 high performance GPUs and state-of-the-art compute facility. Moreover, depending on your requirement, you can have access to the JADE2 compute facility of UK: https://www.jade.ac.uk<https://www.jade.ac.uk/>.

For information and application: Please send email to anjan.dutta at surrey.ac.uk<mailto:anjan.dutta at surrey.ac.uk>, please include the following documents within your application: (1) CV; (2) Transcript(s) giving full details of subjects studied and grades/marks obtained (this should be an interim transcript if you are still studying); (3) Cover letter (outlining your academic interests, prior research experience and reasons for wishing to undertake the project); (4) Two references from referees familiar with your academic work.

Best,

Dr Anjan Dutta
Senior Lecturer in Artificial Intelligence
Surrey Institute for People-Centred Artificial Intelligence
University of Surrey, Guildford, UK

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