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Post Doctoral Researcher in Mathematical Modelling of Infectious Diseases

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The Climate and Health Program (CLIMA) is a recently launched research initiative created within ISGlobal (Barcelona Institute of Global Health) to address the complex interface between the physical climate system, the environment and human health. CLIMA has a global scope but mainly focuses on the Mediterranean, tropical Africa, South America and Southeast Asia regions. ISGlobal has become one of the larger research centers in Global Health in Europe, hosting around 30 research groups and more than 350 people with affiliation to two leading universities (University of Barcelona and Pompeu Fabra University). A characteristic of ISGlobal is the integration of research in communicable and non-communicable diseases with a strong emphasis on their environmental determinants. The result of this integration is a broad research portfolio which offers unique opportunities to contribute to a better understanding of the epidemiological transition in low-to-middle income countries (LMIC), to lead research on main environmental health determinants including climate in a wide range of countries and populations, and to initiate innovative research on the interactions between CDs and NCDs


Within ISGlobal, the new CLIMA Program stems from IC3 RG on Climate and Health and it is specifically devoted to disentangling and modeling the dynamics of infectious diseases driven by climate variability and change. In particular, we have been very active in trying to better understand the way arboviral diseases behave and how their epidemiology interacts with the environment and climate in both endemic and epidemic settings. Malaria, dengue, chikungunya, yellow fever and leishmaniasis are among our central interests, though we work also on other relevant human diseases with an environmental link such as cholera, other diarrheal diseases and plague. Recently, the group works also on airborne diseases such as influenza and Kawasaki disease and at uncovering unknown atmospheric determinants of human ailments.


For details, please visit www.isglobal.org






Benefits



The position will be closed as soon as a suitable candidate is selected. The salary will be competitive and commensurate with experience. Ideal candidates should have all of the following attributes below. Candidates not demonstrating such capacities will not be considered. 


Selected candidates should ask for three letters of recommendation from external scientists  A letter from the PhD advisor is also encouraged. Candidates selected will be asked to conduct a personal interview and a seminar presentation.


 



Selection process



To apply, please send your full CV accompanied with a brief statement (max. 2 pages) of interest and experience with the following subject “PD_Maths Infectious Diseases” by e-mail to job@isglobal.org. The closing date for the receipt of applications is 20/05/18


Applications will be accepted until 17.00 CET of the closing date.


Selected candidates should ask for three letters of recommendation from external scientists. A letter from the PhD advisor is also encouraged. Selected candidates will be asked to conduct a personal interview and a seminar presentation.


 



Web site for additional job details


https://www.isglobal.org/job-opportunities


Offer Requirements

    REQUIRED EDUCATION LEVEL
    Mathematics: PhD or equivalent
    REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

Ideal candidates should have all of the following attributes below. Candidates not demonstrating such capacities will not be considered.

- PhD in ecology, epidemiology, statistics, mathematics, mathematical biology, physics or related fields.

- Skill and demonstrated ability and experience in building, calibrating and in the validation of mathematical models (stochastic ODE systems) for modeling the dynamics of infectious disease (VBD) or/and (WBD). Experience in procedures for estimating modeling parameters in ODE systems (e.g. Runge-Kutta, MIF methods), are required.

- The candidate should have demonstrated facility in handling large database (especially climatic and environmental databases) and in programming languages needed for developing code and scripts. Knowledge of advanced statistics will be valued.

- Capacity to write proposals, manuscripts and to work with other colleagues in a highly collaborative environment.

- Fluency in spoken and written English, fluency in other European languages will be also valued.





Procedencia EURAXESS
País España
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Contacto

  • Tel:
    (+34) 985 20 74 34
  • Email:
    ficyt@ficyt.es
  • Dirección:
    Cabo Noval, 11, 1ºC
    33007 Oviedo - Asturias España