Field of knowledge: Computer science
FAPESP process: 2014/12236-1
Project title: AnImaLS - Annotation of Images in Large Scale: What can machines and specialists learn from interaction?
Working area: Machine Learning / Visual Analytics / Image Processing
Principal investigator: Alexandre Xavier Falcão
Unit/Instituition: Institute of Computing / University of Campinas (UNICAMP)
Deadline for submissions: 2017-05-15
Publishing date: 2017-03-17
Locale: Av. Albert Einstein, 1.251 - Cidade Universitária, Campinas - SP, 13083-852
We are seeking candidates for a two-year post-doctoral fellowship to work at the Laboratory of Image Data Science (www.lids.ic.unicamp.br), Institute of Computing (www.ic.unicamp.br/en), University of Campinas - UNICAMP (www.unicamp.br/unicamp/english), Campinas, SP, Brazil.
This fellowship is part of a Thematic Project entitled "AnImaLS – Annotation of Images in Large Scale: what can machines and specialists learn from interaction?", with collaborators from the University of Campinas (Brazil), University of São Paulo (Brazil), State University of São Paulo (Brazil), University of Pennsylvania (EUA), West Virginia University (EUA), University of Groningen (Netherlands), and Jadavpur University (India). The goals of the project are the understanding and improvement of machine learning processes through human interaction, for the construction of explainable decision making and decision support systems based on image annotation. Given that the fellowship is part of a Thematic Project funded by FAPESP, it can be renewed up to 48 months.
This fellow position requires research and development in image processing, machine learning, and visual analytics, in collaboration with graduate students and partners, experts in visual analytics from the University of São Paulo and University of Groningen. The work of the fellow will be focused on machine learning methods and their integration with visual analytics techniques, in collaboration with graduate students.
It is desirable that the candidate demonstrates domain knowledge in machine learning, visual analytics, and image processing. However, candidates with good mathematical and programming backgrounds in any of the three areas and motivation to learn the others are welcome too.
The post-doctoral fellowship includes a monthly stipend of R$ 6.819,30 (about US$ 2,150 and EU$ 2,000), access to the health-care system of UNICAMP, and research contingency funds of 15% of the annual value of the fellowship. Please verify the details at fapesp.br/en/5427.
Interested candidates should email motivation letter for the application, recommendation letter from a previous supervisor, curriculum vitae with list of publications, education and experience, and copy of diplomas/degree certificate(s) to Alexandre Xavier Falcão (email@example.com).