- Offer Deadline
- EU Research Framework Programme
- HE / MSCA
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- IMB Mainz
- Promotion and Advisory Unit
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- Organisation / Company Type
- Higher Education Institute
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- Gran Vía de Colón, 48, 2nd floor
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 Postdoctoral Fellowship (MSCA-PF) in 2022 at this University. Please note that applicants must comply with the Mobility Rule (for more information about the 2022 call, please consult: http://sl.ugr.es/0cmA).
Brief description of the institution:
The University of Granada (UGR) was founded in 1531 and is one of the largest and most important universities in Spain. With over 60,000 undergraduate and postgraduate students and 6,000 members of staff, the UGR offers over 70 undergraduate degrees, 100 master’s degrees (9 of which are international double degrees) and 28 doctoral programmes via its 127 departments and 22 centers. Accordingly, the UGR offers one of the most extensive and diverse ranges of higher education programmes in Spain.
The UGR has been awarded with the "Human Resources Excellence in Research (HRS4R)", which reflects the institution’s commitment to continuously improving its human resource policies in line with the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers. The UGR is also internationally renowned for its excellence in diverse research fields and ranked among the top Spanish universities in a variety of ranking criteria, such as national R&D projects, fellowships awarded, publications, and international funding.
The UGR is one of the few Spanish Universities listed in the Shanghai Top 500 ranking - Academic Ranking of World Universities (ARWU). The 2021 edition of the ARWU places the UGR in 201-300th position in the world and as the second highest ranked university in Spain (http://sl.ugr.es/0cmF), reaffirming its position as an institution at the forefront of national and international research. The UGR stands out in the specialties of Library & Information Science (position 36); Food Science & Technology (39) and Hospitality & Tourism Management (51-75), according to the latest edition of this prestigious ranking by specialties (http://sl.ugr.es/0bSp). A little lower in the ranking, the UGR also stands out in Mathematics (76-100) and Mining & Mineral Engineering (76-100).
Additionally, the UGR has 7 researchers who are at the top of the Highly Cited Researchers (HCR) list (http://sl.ugr.es/0cmD), most of these related to the area of Computer Science. It is also well recognized for its web presence (http://sl.ugr.es/0a6i), being positioned at 54th place in the top 200 Universities in Europe.
Internationally, the University of Granada is firmly committed to its participation in the calls of the Framework Programme of the European Union. For the duration of the last two Framework Programmes, the UGR has obtained a total of 67 projects, with total funding of 18.029 million euros, and for H2020, 119 projects with a total funding of around 29.233 million euros.
Brief description of the Centre/Research Group:
The Color Imaging Lab belongs to the Optics Department at the University of Granada (ranked among the best 300 universities in the world and the second in Spain, according to the Shanghai ranking 2018).
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, human perception, color vision, visual saliency, polarimetric&spectral imaging, new spectral sensors.
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 (hyperspectral and multispectral) and spectroradiometers 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 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.
Customizable active aid system for Color Vision Defficient subjects
Congenital color vision deficiency (CVD) affects 8% of the Caucasian male population and 0.5% of the female. So far, two types of solutions have been used, which can be classified as active and passive aids. In active aids the CVD is addressed using image processing, with images captured by a camera and subsequently displayed to the CVD subject. Passive aids are based on filters incorporated into tinted glasses or contact lenses, nowadays even with their corresponding optometric prescription.
Several studies have proven that neither kind can fully compensate for the loss in colour discrimination of a CVD subject, although they can be potentially useful for discriminating certain stimuli in a particular context. The design of active systems that are customized and reprogrammable on the spot for specific observers and tasks has not been tackled successfully yet. This is the topic of the present project.
The main task is divided into steps. First, obtain enough data about the subject’s specific CVD via a small number of measurements based on a psychophysical experiment (subject characterization). Then, use an instance of the task or scene captured by a cell phone camera and introduce different color variations in the scene that would cause an increase of the perceived contrast according to an accurate simulation of the subject’s color vision (building of options for active aid). Finally, present several options to the subject and let him/her decide which transformation is the preferred one, and letting him/her do some adjustments if required (customization). The application would be developed for use as an app in the main mobile OS types, and tested by CVD subjects of different type and severity.
- Information Science and Engineering (ENG)
- Physics (PHY)
For a correct evaluation of your candidature, please send the documents below to Professor Eva M. Valero (email@example.com):
- Letter of recommendation (optional)