Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
Relevance to the Intelligence Community:
 Bett, B., Kiunga, P., Gachohi, J., Sindato, C., Mbotha, D., Robinson, T., ... & Grace, D. (2017). Effects of climate change on the occurrence and distribution of livestock diseases. Preventive veterinary medicine, 137, 119-129.
 Garchitorena, A., Sokolow, S. H., Roche, B., Ngonghala, C. N., Jocque, M., Lund, A., ... & Andrews, J. R. (2017). Disease ecology, health and the environment: a framework to account for ecological and socio-economic drivers in the control of neglected tropical diseases. Phil. Trans. R. Soc. B, 372(1722), 20160128.
 Herfindal, I., Lande, U. S., Solberg, E. J., Rolandsen, C. M., Roer, O., & Wam, H. K. (2017). Weather affects temporal niche partitioning between moose and livestock. Wildlife Biology, wlb-00275.
 Manogaran, G., & Lopez, D. (2018). Disease surveillance system for big climate data processing and dengue transmission. In Climate Change and Environmental Concerns: Breakthroughs in Research and Practice (pp. 427-446). IGI Global.
 Orozco-Fuentes, S., Griffiths, G., Holmes, M. J., Ettelaie, R., Smith, J., Baggaley, A. W., & Parker, N. G. (2018). Early warning signals in plant disease outbreaks. arXiv preprint, 1802.07562.
 Zhang, L., Yang, B., Li, S., & Guo, A. (2017). Disease–weather relationships for wheat powdery mildew under climate change in China. The Journal of Agricultural Science, 155(8), 1239-1252.
Key Words: Early Warning Models, Forecasting, Disease, Remote Sensing, Climate, Food and Water Security, Ecology