24/03/2020
Marie Skłodowska-Curie Actions

MSCA-IF: Joint application at the University of Granada. Department of Signal Theory, Telematics and Communications.

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  • OFFER DEADLINE
    01/07/2020 10:00 - Europe/Brussels
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • LOCATION
    Spain, Granada
  • ORGANISATION/COMPANY
    International Research Projects Office
  • DEPARTMENT
    Promotion and Advisory Unit
  • LABORATORY
    NA

Professor Miguel Ángel López Gordo, from the Department of Signal Theory, Telematics and Communications at the University of Granada, welcomes postdoctoral candidates interested in applying for a Marie Skłodowska-Curie Individual Fellowships (MSCA-IF) in 2020 at this University. Please note that applicants must comply with the Mobility Rule (more information: http://sl.ugr.es/0aNV).

Brief description of the institution:

The University of Granada (UGR), founded in 1531, is one of the largest and most important universities in Spain. The UGR has been awarded with the "Human Resources Excellence in Research (HRS4R)", which reflects the UGR’s commitment to continuously improve 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 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://sl.ugr.es/0aw0). The Academic Ranking of World Universities (ARWU) places the UGR in 268th position in the world and as the 4th highest ranked University in Spain, reaffirming its position as an institution at the forefront of national and international research. From the perspective of specialist areas in the ARWU rankings, the UGR is outstanding in Documentation (ranked in the 36th in the world) or Food science technology (ranked 37th in the world), Mathematics and Computer Science (ranked among the top 76-100 in the world).

The UGR has 4 researchers at the top of the Highly Cited Researchers (HCR) list in the Computer Science area. With regard to broader subject fields, the UGR is ranked in 45th position in the universities worldwide in the discipline of Engineering. It is also well recognized for its web presence (http://sl.ugr.es/0a6i) taking 36th place in the top 200 Universities in Europe. Internationally, we bet decidedly by our 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 66 projects, with total funding of 18.02 million euros, and for H2020, 80 projects with total funding around 20.6 million euros.

Brief description of the Centre/Research Group

The University of Granada (UGR) is one of the most prestigious universities in Spain. The UGR is one of the 50 best universities in the world in Computer Science and the first Spanish in this area (Academic Ranking of World Universities in Engineering / Technology and Computer Sciences - 2016). In the academic plan, +60K students attend graduate and posgraduate curses. UGR hosts a large population of Erasmus students (ca. 2k).

The Center for Research in Information Technology and Communications (CITIC-UGR, https://citic.ugr.es/?lang=en) is the international center of reference in ICT of UGR. The research lines includes: High Performance Architectures, Bioinformatics, eHealth, Software Engineering, Neural Engineering, Data Mining, Nanoelectronics, Cell Networks and Sensors, Image Recognition, Control Systems, Signal Processing, Virtual Reality and Soft Computing and Artificial Vision. In addition, a Doctorate Program specializing in Information and Communication Technologies is imparted to the center

The Brain-computer Interfaces Lab (BCILAB, https://www.ugr.es/~bcilab/) of CITIC-UGR performs R+D in neuro-engineering. The BCILAB develops electronic devices for neurometry and stimulation, software for neuro-affective applications and biosignald and data processing. The lab is equipped with tools for electronic development, behavioral and electrophysiological experiments and virtual reality head-sets for cognitive rehabilitation. We cover a wide range of applications in neurometry, such as is in education, special needs education, rehabilitation, military, marketing, etc.

Project description

Dementia is high priority for Public Health Systems (PHS) at global scale because of population aging. Only in 2015, the estimated costs in USA was 818 billion dollars. With a global prevalence of 40 million people, Alzheimer disease (AD) is the most important cause for dementia. It is estimated to double every 20 years until at least 2040.

The AD diagnostic is based on a neurophysiological evaluation supported with additional complementary tests. The analysis of EEG in rest state is a promising technique to complement the diagnostic. EEG tests have some inconvenient such as the price, the unavailability of immediate results, it cannot be implemented in the consultation room, need for specialized premises and equipment as well as additional bureaucracy.

Vision. In this project we envision a simple tool for the expert evaluator (the neurologist or neuro-psychologist) to practise an immediate EEG test in the consultation room. The technical difficulty to practise this complementary test would be no more than blood pressure measurement.

Goals. We propose wireless system to practise immediate EEG resting state test during the specialist consultation. This wearable system will integrate algorithms to cloud-compute the EEG data with generation of results online.

Results and Impact. We expect a high impact on PHS in terms of costs and anticipated diagnostic. This will lead to a personalized therapy with better prognostic, as well as improvement of quality of life of patients and relatives.

Research Area

Information Science and Engineering (ENG) and Life Sciences (LIFE)

For a correct evaluation of your candidature, please send the documents below to Professor Miguel Ángel López Gordo (malg@ugr.es):

  • CV
  • Letter of recommendation (optional)

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