Marie Skłodowska-Curie Actions

MSCA-PF: Joint application at the University of Granada. Department of Applied Mathematics

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    02/09/2021 13:00 - Europe/Brussels
    HE / MSCA
    Spain, Granada
    International Research Projects Office
    Promotion and Advisory Unit

Professor Julia García Cabello, from the Department of Applied Mathematics 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:

Identification Code: PID2019-103880RB-I00/AEI/10.13039/501100011033

Title: Disruptive group decision making systems in fuzzy context: Applications in smart energy and people analytics

IP: Enrique Herrera-Viedma and Francisco J.Cabrerizo

The group decision-making (GDM) processes under uncertainty are usual in many organizations. Here, we focus on new scientific challenges and new application fields, and our aim is twofold:

● We develop new GDM models, called disruptive fuzzy GDM systems (SIDEDISRUP) with high self-capacities of discovery and innovation that address new problems of dynamism and heterogeneity:

The most of known GDM models deal with the dynamic aspects by assuming controlled frameworks, that is, changes always made on a well-established set of reference alternatives or on a well-known group of users, what limits their possibilities of discovery in many real applications, e.g. as in e-commerce, and this could motivate the boredom of the users, their disaffection with the system and the loss of customers. To overcome this problem, SIDEDISRUPs produce abrupt changes in the GDM processes by discovering new options/alternatives/needs until now nonexistent for users.

● We develop applications of these SIDEDISRUPs on new fields of special interest in Digital Economy such as smart energy and people analytics. Using the support of the enterprises involved in the project we intend to design and implement two SIDEDISRUPs in real environments, discovering options to improve both the quality of the employees' work and their satisfaction with company.

Project description:

The project aims to improve the knowledge about price forecasting in sectors where

i)traditionally the final price of the product is created through the opinions (pressures) of the different groups that operate in the value chain and

ii) there are no digital tools to deal with the various price negotiation processes, beyond the experience of the negotiators themselves.

The full understanding of these negotiation processes constitutes a highly complex endeavor that demands the combined knowledge of various branches of Mathematics/Artificial Intelligence, Economics and Social Sciences. In this project we are interested in understanding the price formation process across the various relevant scales in order to model those processes from a quantitative perspective. To accomplish this task, we propose a mixed methodology that combines analytical models and empirical techniques (experiment design and model validation) completing with data acquisition in laboratory analysis/simulation. The tasks to be developed comprise thus mathematical modelling, numerical simulation and data analysis.

The main tasks for fellows are experiment design and model validation. Both, experiment design and model validation, can be tackled depending on fellow's expertise and interests. Experience in the design and use of artificial neural networks (ANNs) is highly valued.

Research Area:

  • Economic Sciences (ECO)
  • Mathematics (MAT)

For a correct evaluation of your candidature, please send the documents below to Professor Julia García Cabello (cabello@ugr.es):

  • CV
  • Letter of recommendation (optional)


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