Machine Learning for Long-Term Video Understanding

Applications are invited for a fully funded PhD studentship in Computer Vision and Machine Learning on the topic of Long-Term Video Understanding. 

The successful applicant will work in a vibrant computer Machine Learning and Computer Vision lab, with more than 9 PhD students and 3 postdoctoral researchers working on closely related topics. For an insight into the supervisors’ current and previous works, refer to:

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

Further Particulars

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 solid knowledge of Machine Learning and Computer Vision. 

Prior expertise in working with any of these multimodality combinations: video, video+language or video+audio understanding

An Interest in research and loads of patience.

·      Desirable (not necessary):

Publication as first author in Computer Vision or Machine Learning venues.

Scholarship Details and eligibility

This studentship open to both Home and International applicants.

This studentship will be funded by industry and has no eligibility requirements.

Informal enquiries

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

For questions about eligibility and the application process please contact SCEEM Postgraduate Research Admissions [Email Address Removed] For applications contact Ms Marina Galetaki

Application Details

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.

To apply for this studentship, submit a PhD application using our online application system [www.bristol.ac.uk/pg-howtoapply]

Please ensure that in the Funding section you tick “I would like to be considered for a funding award from the Computer Science Department” and specify the title of the scholarship Machine Learning for Long-Term Video Understanding in the “other” box below along with the name of the supervisor.