Machine Learning for 4D Egocentric Video Understanding

The project:

Applications are invited for a fully funded PhD studentships in Computer Vision and Machine Learning on the topic of 4D Video Understanding for footage from Egocentric Cameras of unscripted daily activities.

The successful applicant will work in a vibrant computer Machine Learning and Computer Vision lab, with 10 PhD students and 2 postdoctoral researchers working on closely related topics. For an insight into the supervisor’s current and previous works, refer to:

Prof Dima Damen http://dimadamen.github.io/

Candidate requirements: 

Applicants must hold/achieve a minimum of a Master’s degree (or international equivalent) in computer science, mathematics or other relevant discipline. Applicants without a Master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will also depend on evidence of readiness to pursue a research degree.

Basic skills and knowledge required:

Essential:

Solid mathematical ability and excellent programming skills. 

A basic knowledge of Machine Learning and Computer Vision (very useful). 

An Interest in research and loads of patience.

Desirable (not necessary):

Prior research expertise in video, language, audio understanding or any combination of these modalities.

Prior research expertise in 3D understanding, including tracking, point tracking, 3D modelling, 3D reconstruction from RGB. 

If English is not your first language, you need to meet this profile level: Profile E

Further information about English language requirements and profile levels.

How to apply:

Prior to submitting your application, please send your CV, and all transcripts (in English) to Ms Marina Galetaki at: [Email Address Removed]

If shortlisted, you will be required to attend a total of 2 interviews. Successful applicants will be invited to submit a full application with references. No indication of an offer can be made until we receive a completed application.

Online applications are made at http://www.bris.ac.uk/pg-howtoapply. Please select “Computer Science (PhD)” on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form. Please ensure that i you tick “I would like to be considered for a funding award from the School of Computer Science” and specify the title of the scholarship Machine Learning for 4D Egocentric Video Understanding in the “other” box below along with the name of the supervisor.

Contacts:

For questions about the research topic, please contact Prof Dima Damen [Email Address Removed]

For questions about eligibility and the application process please contact Engineering Postgraduate Research Admissions [Email Address Removed]

For applications contact Ms Marina Galetaki