OFFER DEADLINE30/10/2018 11:30 - Europe/Brussels
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions COFUND
ORGANISATION/COMPANYInternational Research Projects Office
DEPARTMENTPromotion and Advisory Unit
Professor Ignacio Rojas Ruiz, from the Department of Computer Architecture and Computer Technology at the University of Granada, welcomes postdoctoral candidates interested in applying for an Athenea3i Research Fellowship in 2018 at this University. The information about the Fellowship conditions, how to apply, Eligibility Criteria, Selection Process, Evaluation Process, etc. is available in https://athenea3i.ugr.es/. Please note that applicants must comply with the Eligibility Criteria (https://athenea3i.ugr.es/?page_id=23).
Brief description of the institution:
The University of Granada (UGR), founded in 1531, is one of the largest and most important universities in Spain. It serves more than 60000 students per year, including many foreign students, as UGR is the leader host institution in the Erasmus program. UGR, featuring 3650 professors and more than 2000 auxiliary personnel, offers a total of 75 degrees through its 112 departments and 28 centers.
UGR is also a leading institution in research, located in the top 5/10 of Spanish universities by a variety of ranking criteria, such as national R&D projects, fellowships awarded, publications, or international funding. UGR is one of the few Spanish Universities listed in the Shanghai Top 500 ranking (http://www.arwu.org/), and it is also well recognized for its web presence (http://www.4icu.org/top200/).
Internationally, we bet decidedly by our participation in the calls of H2020, both at partner and coordination. For the duration of the Seventh Framework Programme, the UGR has obtained a total of 66 projects, with total funding of 17.97 million euros, and for H2020, until 2015, more than 25 projects with total funding of more than 6 million euros. Our more than 3,000 researchers are grouped into 365 research groups covering all scientific fields and disciplines.
Brief description of the Centre/Research Group
The Research Centre for Information and Communications Technologies of the University of Granada (CITIC-UGR, Centro de Investigación en Tecnologías de la Información y de las Cominucaciones) has built up a strong reputation as an international ICT Centre. The CITIC-UGR faces relevant scientific and technological challenges, transfers knowledge to the productive sector and trains researchers to be engines of socio-economic growth thanks to new technologies.
The centre arose after the acceptance by the Spanish National Plan for Research and Development of a proposal for its creation and the obtaining of ERDF funding for the construction of the CITIC-UGR building. Currently, the CITIC-UGR brings together leading researchers in ICT of the University of Granada, which is ranked among the top 50 universities in the world in the field of Computer Science, being pioneer in this area in Spain (according to the 2017 Academic Ranking of World Universities). In addition, the Centre offers a PhD programme in Information and Communications Technologies.
The CITIC-UGR spans major research sub-fields such as: Bioinformatics, Computational Biology, Computer Vision, Data Mining, Decision Support Systems, e-Health, High Performance Computer Architectures, Image Recognition, Mobile and Sensor Networks, Monitoring and Control Systems, Nanoelectronics, Neural Engineering, Optimization, Planning, Signal Processing, Soft Computing, Software Engineering & Virtual Reality.
Title: COMPUTING ARCHITECTURES FOR MACHINE LEARNING USING HETEROGENEOUS SOURCES: APPLICATIONS IN HEALTHCARE AND WELFARE
The research proposed in this project aims to contribute to the advancement in the field of machine learning techniques for complex real problems, where the needs for computing performance can be variable, all within the key areas of healthcare and welfare.
Current developments in the areas of information & communication technologies as applied to biomedicine, bioinformatics, biotechnology and related disciplines, involve treating increasing volumes of data from different and heterogeneous sources of information. Within a generic context of providing a machine learning service, it arises more and more the need for automation in the decision-making model and/or learning models used as well as the computing architecture to use.
In this context it arises to advance in the knowledge about state-of-the-art algorithms for addressing complex issues, including especially Deep Neural Networks, Support Vector Machines and hybridization models.
In these tasks it is critical to ensure a good computational performance, and is presented as a second objective, the in-depth study on optimizing computing resources available for a given simulation. GPUs, Grid-Computing, High Throughput Computing and Cloud Computing have emerged in the recent years as alternatives to high-performance computing users to exploit the inherent parallelism in the treatment of the data.
Finally, these objectives are ultimately designed to face the challenge of deepening and effective progressing in terms of intelligent computing and intelligent use of computing resources in several problems in the areas of Healthcare and Welfare (Bioinformatics and Biomedical Engineering).
- Information Science and Engineering (ENG)
For a correct evaluation of your candidature, please send the documents below to Professor Ignacio Rojas Ruiz (firstname.lastname@example.org):
- Letter of recommendation (optional)
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