PhD position

José Ángel Barasona

José Ángel Barasona

DVM by the University of Cordoba in 2009, and Master´s Degree in Basic and Applied Research in Hunting Resources by the University of Castilla-La Mancha (UCLM) in 2010. He joined the Health and Biotechnology group of the Research Institute of Wildlife (SaBio-IREC) with a predoctoral grant (FPU-MECD) and worked as PhD and post-doc researcher between 2010 and 2017 in this group. In 2015, he obtained the International Doctorate mention for his PhD thesis entitled "Epidemiology and prevention at the sanitary interaction between domestic and wild ungulates" by the UCLM.
His research interests have been focused mainly on understanding the factors underlying the shared diseases affecting humans, domestic animals, wildlife and environment. Currently, he is joined the Complutense University of Madrid (Department of Animal Health; SUAT-VISAVET) with a postdoctoral contract “Juan de la Cierva” (MICINN), and is focused on the ecology and the sanitary aspects of the spatial-temporal interactions among wild ungulates and extensive livestock, using the most innovative technologies from a multidisciplinary perspective (diagnosis, molecular biology, genetic, environmental microbiology, farm biosecurity, unmanned aircraft systems, biologging telemetry, GIS, proximity contact recording).

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Eduardo Fernández Carrión

José Ángel BarasonaEduardo Fernández Carrión has a bachelor degree in Mathematical Sciences and a PhD in Statistical-Mathematical Methods for Data Processing (UCM). He joined the Veterinary Sanitary Surveillance Centre in 2013 (VISAVET-UCM), and since then, he worked in SUAT team headed by Prof. Sánchez-Vizcaíno.
His main line of research focuses on the development of mathematical models in veterinary epidemiology. However, all works require the application of knowledge in various statistical-mathematical disciplines such as time series, spatial analysis, differential equations, stochastic processes, Monte Carlo methods, Bayesian statistics, classification techniques, automatic learning, Risk analysis, optimization, decision methods, tests, survival analysis, etc. And, depending on study requierements, these works involve new developments in different languages ​​such as Matlab, R, C ++, Python, SAS, ArcGIS, SPSS, Java, etc.
As an added value, Eduardo is continuously in contact with the research groups MOMAT (School of Mathematics at UCM, Mathematical Models in Science and Technology: Development, Analysis, Numerical Simulation and Control) and ILSA (Computer Science School at UCM, Implementation Of Language-Driven Software and Applications) for collaborations in new mathematical and technological developments.

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