OFFER DEADLINE01/09/2018 12:30 - Europe/Brussels
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
ORGANISATION/COMPANYInternational Project Office
DEPARTMENTPromotion & Advisory Unit
Professor Eva M. Valero, from the Department of Optics at the University of Granada, welcomes postdoctoral candidates interested in applying for a Marie Skłodowska-Curie Individual Fellowships (MSCA-IF) in this university. Applicants must comply with the Mobility Rule (more information in the participant guide: http://sl.ugr.es/097k).
The Color Imaging Lab (http://colorimaginglab.ugr.es) is a research group that belongs to the Optics Department at the University of Granada (ranked among the best 400 universities in the world and the second in Spain, according to the Shanghai ranking 2016).
In this department we have carried out research into both classical Colorimetry (e.g. color differences) and Color Vision (e.g. chromatic discrimination) since the beginning of the 1970s. In the 1990s we became interested in both human and computational color constancy. From its origin in 2000 the Color Imaging Lab has focused on the spectrum based color research and novel methods for spectral data analysis and measurement. Our current research topics are: spectral imaging, spectral estimation algorithms, high dynamic range imaging, de-weathering algorithms, visual saliency, polarimetric spectral imaging, and cutural heritage image processing and analysis.
In the research group we have four senior permanent staff and several Ph.D. and Post-doc students. Our laboratory is well-equipped for spectral color research with several spectral cameras and spectrometers as well as eye-trackers and a thermal camera. Our university has also the facility to use color and spectral cameras on drones.
Our group is a consortium member of the Erasmus Mundus CIMET and Erasmus+ COSI-master programmes. We are very active in international collaboration (i.e. half of our papers have international co-authorship). In research, we have project funding from the University of Granada, the Regional Government of Andalucia, the Spanish Government and from industrial partners.
Spectral imaging and NIR/UV imaging has been gathering increasing attention in the field of Cultural Heritage analysis in the last years. The use of information outside the visible range allows for a better assessment of the state of preservation and also of the generation of the artwork, by detecting cracks and re-paintings. However, the application of spectral imaging tools to characterize the ageing phase of commonly used organic and inorganic dyes or pigments has not been tackled until very recently, and it is still under development. Our group has obtained promising results by using a multispectral camera to capture information in 16 different spectral bands within the visible and near infrared range, and use machine learning tools (Support Vector Machines) to learn how to characterize the different phases of the indigo ageing process, from the raw samples to the final phase in which most of the original pigment has turned to a different molecule called isatin. The present project proposal, which will be developed in collaboration with the Department of Painting of the Faculty of Fine Arts in the University of Granada, aims to extend the image analysis framework to more organic and inorganic dyes/pigments, and also to analyze the feasibility of using a similar framework for the analysis of samples with 3D structure. These last samples could present different ageing phases for different parts of the piece, depending on how they have been exposed to the main degrading agents (UV light, temperature and humidity variations). We aim to use capture devices which can gather information not only about the spectral composition, but also about the depth profile of the sample, using artificial ageing chambers in the initial phase of the project to acelerate the ageing process.
- Social Sciences and Humanities (SOC)
- Information Science and Engineering (ENG)
For a correct evaluation of your candidature, please send the documents below to Professor (email@example.com):
- Letter of recommendation (optional)