04/05/2021
Marie Skłodowska-Curie Actions

MSCA-PF: Joint application at the University of Granada. Department of Computer Architecture and Computer Technology

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  • OFFER DEADLINE
    01/09/2021 10:30 - Europe/Brussels
  • EU RESEARCH FRAMEWORK PROGRAMME
    HE / MSCA
  • LOCATION
    Spain, Granada
  • ORGANISATION/COMPANY
    International Research Projects Office
  • DEPARTMENT
    Promotion and Advisory Unit
  • LABORATORY
    NA

Professor Oresti Baños from the Department of Computer Architecture and Computer Technology at the University of Granada, welcomes postdoctoral candidates interested in applying for a Marie Skłodowska-Curie Postdoctoral Fellowships (MSCA-PF) in 2021 at this University. Please note that applicants must comply with the Mobility Rule (more information about the 2020 call: http://sl.ugr.es/0aNV, the 2021 call is not yet open).

Brief description of the institution:

The University of Granada (UGR), founded in 1531, is one of the largest and most important universities in Spain. With over 60.000 undergraduate and postgraduate students and 6.000 staff. UGR offers a total of 89 degrees, 110 master’s degrees and 28 doctoral programmes through its 123 departments and 27 centers. Consequently, the UGR offers one of the most extensive and diverse ranges of higher education programmes in Spain.

The UGR has 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. UGR is also a leading institution in research, located in the top 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 - Academic Ranking of World Universities (ARWU) (http://sl.ugr.es/0bsW). The UGR is amongst the 201-300 first universities of the world, between 2nd-5th position of Spanish universities and number 1 in the Andalusian Region in the Shanghai Top 500 ranking. Specialties at UGR that stand out are Library & Information Science (position 32) and Food Science & Technology (position 36). Moreover, the UGR is also situated amongst the first 100 universities in Mining & Mineral Engineering between (76th-100th position), in Mathematics (between 76th-100th position) and in Hospitality & Tourism Management (between 76th-100th position). The edition of the ARWU places the UGR in 201-300th 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.

Additionally, the UGR has 8 researchers at the top of the Highly Cited Researchers (HCR) list in Computer Sciences & Engineering (position 101-150). It is also well recognized for its web presence (http://sl.ugr.es/0a6i), being positioned at 43th 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 67 projects, with total funding of 18.029 million euros, and for H2020, 118 projects with total funding around 29.115 million euros.

Brief description of the Centre/Research Group:

The Research Centre for Information and Communications Technologies of the University of Granada (CITIC-UGR) is a multidisciplinary institution addressing several relevant scientific and technological challenges, with a clear focus on transferring ground-breaking knowledge to the productive sector and training novel researchers to become the present and future engines of socio-economic growth. In doing so, 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. The CITIC-UGR spans major research 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. As such, it constitutes an unparalleled ecosystem for developing and materializing new exciting and disruptive ideas.

Project description:

BEHAVE.ai - Advanced modelling of human behavior through artificial intelligence and smart sensing

People are growingly less active, isolate more, experience higher stress and eat worse. These lifestyle traits represent a global threat, compromising healthy longevity. We must find effective new means for raising public awareness and changing behavior in order to improve our ability to remain active, healthy, and resilient. To change behavior, a deep comprehension of its root causes is needed though.

This project aims at developing the next generation of intelligent sensing, modelling and analysis methods for the automatic detection of people's physical, emotional, cognitive and social behavior. Behaviors are primarily to be derived from the user interaction with smart wearable and mobile devices, e.g., activity detection, mobility tracking, speech processing or facial expression recognition. Behavioral data will be mined over time to discover relevant patterns and to automatically detect behavior changes demanding prompt or preventive lifestyle interventions. BEHAVE.ai will move beyond the state-of-the-art by approaching the problem in a holistic fashion, thus modelling, inferring and combining the distinct domains of behavior altogether.

We seek highly motivated candidates with a sound theoretical background in statistics, data mining and/or machine learning with a PhD degree in AI, Data Science or similar. A relevant publication track record in similar or related areas including top-tier journals/conferences is required. Experience with mobile/wearable sensing and automatic behavior recognition is a plus. Good communication skills, strong desire to work in teams, and high fluency in English are also needed.

Research Area:

  • Social Sciences and Humanities (SOC)

  • Information Science and Engineering (ENG)

For a correct evaluation of your candidature, please send the documents below to Professor Oresti Baños (oresti@ugr.es):

  • CV
  • Letter of recommendation (optional)

Disclaimer:

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