PhD Position in “Deep Learning based TV Content-based Recommenders”

This job offer has expired

    Universitat de Barcelona
    Computer science
    First Stage Researcher (R1)
    26/03/2020 00:00 - Europe/Athens
    Spain › Barcelona
    This position is co-financed by ACCIÓ the Agency for Business Competitiveness of the Catalonian Government (Generalitat de Catalunya). Project PICAE COMRDI18-1-0007-02.

As part of the PICAE project, we offer an exciting PhD position at the Universitat de Barcelona and its DataScience@UB group, to develop algorithms and tools for indexing TV content archives using deep learning techniques. TV broadcasters own large content archives, containing programs from decades of broadcasting. These archives are often a black box because proper metadata was not originally provided. That makes it difficult to reuse these programs, for instance in the case of reusing footage for a news story, o r to recommend these programs to interested viewers. Deep learning based content analysis tools can nowadays provide missing metadata in an automatic way. Through automatic content analysis, TV broadcasters can get a detailed view of what’s inside their content, transforming the archive from a black box into a usable asset. One of the main research aims of this project is to leverage knowledge graphs of programs and their content for TV content recommendation.

We are seeking a candidate with a Msc degree (or equivalent) in an area pertinent to the project, such as applied mathematics, advanced statistics, machine learning, or data science. We are looking for highly motivated candidates with strong interests in mathematical and computational techniques that want to run their own PhD with the research. Candidates must have excellent teamwork and communication skills, and be enthusiastic about their research. Female applicants are explicitly encouraged to apply. Responsibilities also include assistance in the project evaluation as well as interaction with other project partners. The candidate will work in close collaboration with the job vacancy “Complex Systems and Data Science methods to study behavioural patterns in a digital platform”.

The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2018, ARWU/Shanghai Ranking 2018). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. Since January 2010, Universitat de Barcelona is part of the prestigious League of European Universities Research (LERU). The research will be carried within the DataScience@UB research section, which is an essential part of the Departament de Matemàtiques i Informàtica. DataScience@UB is composed of 15 highly experienced academics in artificial intelligence, computer vision, medical imaging, machine/deep learning, and applications.

This position is co-financed by ACCIÓ the Agency for Business Competitiveness of the Catalonian Government (Generalitat de Catalunya). Project PICAE COMRDI18-1-0007-02.

Gross salary per year: 29,500€

Please send your tetter of motivation and curriculum vitae to Jordi Vitrià (e-mail: jordi.vitria@ub.edu). E-mail subject: PICAE postion


Selection process

Selection process: First selection based on CV and letter. Interviews by a panel of academics from the University of Barcelona (via skype or in person).

Offer Requirements


Eligibility criteria: MSc or equivalent in computing, mathematics, statistics, applied mathematics, or equivalent. Proficiency in Python Programming. Deep Learning Knowledge.

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Universitat de Barcelona
Gran Via de les Corts Catalanes, 585.

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EURAXESS offer ID: 500175


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