OFFER DEADLINE01/07/2020 12:00 - Europe/Brussels
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
ORGANISATION/COMPANYInternational Research Projects Office
DEPARTMENTPromotion and Advisory Unit
Professor Juan Calvo, from the Department of Applied Mathematics 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 research group on Partial Differential Equations studies evolution equations and their applications, combining theoretical approaches with numerical simulations. The families of evolutionary models of our interest include: those in Fluid Mechanics, those in the Kinetic Theory of Gases and their generalizations to Astrophysics, Biology and Social Dynamics, Schrödinger-like equations in Quantum Mechanics, non-linear diffusion equations and their role in Developmental Biology and population dynamics, non-linear and non-local transport equations and their applications in coagulation-fragmentation dynamics, N-body models and their applications to syncronization phenomena. The combined expertise of the team members encompasses a variety of mathematical methods, including those of kinetic theory, dynamical systems analysis, calculus of variations, semigroup theory, asymptotic techniques, operator theory, stochastic simulations, finite differences and finite volume methods.
The project aims to improve our knowledge about the dynamics of suspended particles in aquatic ecosystems (particularly lakes and oceans). Light particles can reside in the upper layers and hinder light penetration, with implications to those ecosystems at low depths. On the other hand, heavier particles tend to sink and settle at the bottom, which is crucial to our understanding of the global carbon cycle regulation and has important implications for the mitigation of global warming. The full understanding of these processes constitutes a highly complex endeavor that demands the combined knowledge of various branches of Physics, Biology, Mathematics, Chemistry and Geology. In this project we are interested in understanding particle-particle interactions across the various relevant scales; particularly, aggregation dynamics can boost settling rates and remove an important amount of carbon from the global carbon pool. To study those processes from a quantitative perspective we propose a mixed methodology that combines analytical models and inverse problem solving with data acquisition in lakes and laboratory analysis of the collected samples. The tasks to be developed comprise inverse problem analysis, numerical simulation of evolution models and data analysis; moreover, sample recollection and/or experiment design can be also tackled depending on fellow's expertise and interests.
Environment and Geosciences (ENV) and Mathematics (MAT)
For a correct evaluation of your candidature, please send the documents below to Professor Juan Calvo (firstname.lastname@example.org):
- Letter of recommendation (optional)
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