MSCA-PF: Joint application at the University of Granada. Department of Computer Science and Artificial Intelligence

Professor Siham Tabik Ouled Hrour, from the Department of Computer Science and Artificial Intelligence at the University of Granada, welcomes postdoctoral candidates interested in applying for a Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA-PF) in 2023 at this University. Please note that applicants must comply with the Mobility Rule (for more information about the 2023 call, please consult:(http://sl.ugr.es/0d7F).

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 51,000 undergraduate and postgraduate students and almost 3,000 members of staff, the UGR offers over 90 undergraduate degrees, 160 master’s degrees (8 of which are international double degrees) and 28 doctoral programmes via its 124 departments and nearly 50 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 2022 edition of the ARWU places the UGR in 201-300th position in the world and as the 2-5 highest ranked universities in Spain (http://sl.ugr.es/0d7D), 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 38); Food Science & Technology (30) 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).

Additionally, the UGR has 9 researchers who are at the top of the Highly Cited Researchers (HCR) list (http://sl.ugr.es/0d7E), 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 42th 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 Framework Programme, Horizon 2020, the UGR obtained a total 120 projects with a total funding of around 29,4 million euros.  For the current Framework Programme, Horizon Europe, the UGR has obtained 38 projects, so far, with total funding around 11 € million.

Brief description of the Centre/Research Group:

The research group ‘Soft Computing and Intelligent Information Systems’ (SCI2S) was created in
2001 at University of Granada, by several researchers from the area of Soft Computing. SCI2S
research interests include Data Mining, Decision Making, Image Registration, Information Retrieval,
Web Systems, Bioinformatics, Distributed Computational Intelligence, remote sensing, Deep Learning
and Time Series.
The group is organized into seven laboratories:
- Data mining
- Model identification
- Evolutionary and bio-inspired computing
- Time series prediction
- Distributed Computational Intelligence/High Performance Computing

Project description:

Global change and the loss of biodiversity are one of the major challenges that threat human well-being at present. Detecting, understanding and monitoring spatiotemporal changes in the earth surface from the local to the global scale are of paramount importance for researchers and policy makers all around the world. Currently, one of the main resources for conducting such studies is remotely sensed data, from ground-based sensors to aerial and satellite imagery. Daily, Terabytes of data are produced at different spatial, spectral, radiometric and temporal resolutions. Extracting useful patterns from this type of data is very complex. Artificial intelligence algorithms in general and deep learning models in particular have a high potential to detect complex patterns in this type of data. Our research in this topic is fusing remote sensing and IA technologies with the aim of contributing to the Sustainable Development Goals

Research Area:

☒  Information Science and Engineering (ENG)

For a correct evaluation of your candidature, please send the documents below to Professor Siham Tabik Ouled Hrour, email: siham@ugr.es

• CV
• Letter of recommendation (optional)