CVUB is opening a one-year position for a post-doc to work within a European project on developing and applying deep learning techniques for analyzing food-related and/or lifelogging images. The project will develop, implement and apply advanced computer vision and machine learning (specially, deep learning) techniques to analyze the behavior and quality of life of people.
Candidates should have solid background and publication record in machine learning and computer vision. Experience in deep learning, food image analysis and/or egocentric vision is especially of interest. The candidate should have good programing skills in Python and Sci-kit learn and/or Matlab. The project will allow to the candidate to work on a challenging computer vision and machine learning problems, publish high-quality research, and collaborate with partners from Europe and Spain within European and national projects.
At the time of the application, eligible candidates mush have a PhD degree in Computer Vision and Machine learning. The successful candidate will be offered a competitive salary according to the qualification and experience. The position is for one-year with the possibility to be prolonged for another year. Involving in another projects or applying for a postdoc grant afterwards is highly probable according to the achieved results.
Interested candidates should send their CV, application letter with their motivation (free text), brief description of research interests and main achievements, and names of 2 referees to email@example.com. The call will remain open until the position is filled, but a first deadline for evaluation will be October, 15th, 2017.
Dr. Petia Radeva
“Computer Vision at the University of Barcelona” Consolidated Research Group
Faculty of Mathematics and Computer Science
University of Barcelona