First stage researcher on applying Machine learning to analyse fashion images (ref. 600214)

Updated: 28 days ago
Job Type: FullTime
Deadline: 10 Oct 2020

A full-time First Stage Researcher is required to participate in the project VIPO customers profiling system to improve the buying experience (EIT Digital 2020).

Today, Machine learning achieved outstanding results transforming fields as healthcare. In this project we will develop Machine learning algorithms to analyse fashion images. We will work on Deep learning semantic segmentation algorithms to applied to extract different pieces of dresses in fashion images.

The position will be integrated in the European project “Vipo” where we collaborate with other European teams to validate our algorithms in real situations.

We are looking for a dynamic and proactive person with Knowledge on Deep Learning, Computer Vision, Client-server applications implementation and Machine learning and experience on programming with Python and Matlab.

She/he will work in the Department of Mathematics and Computer Science of Universitat de Barcelona.

Duration of the contract: 2.5 months with a possible extensión.

Required documents:

  • Application letter
  • Curriculum vitae including list of publications and participation in research projects

Please send your application to:

Project Title: VIPO customers profiling system to improve the buying experience

Actvity Acronym: VIPO

IP: Petia Radeva

Departament: Departament de Matemàtiques i Informàtica

Funding: The project is funded by EIT Digital (Activity 20299) in the framework of the EIT program.

Female applicants are explicitly encouraged to apply.

Priority will be given to people with disabilities.


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