Postdoctoral Opportunity for a Computational Scientist/Simulation Modeler
Applications from PhD or other doctoral-level degree holders are welcomed for a full-time, NIH and CDC-funded position, available immediately. The successful candidate is expected to develop new mathematical/simulation models to study the impact and cost-effectiveness of novel strategies for controlling infectious diseases of public health importance. This project is an integral element of a joint research program of investigators at Yale School of Public Health and Harvard School of Public Health. Our team of investigators includes infectious disease epidemiologists, health economists, decision analysts, and operations researchers, and current diseases of major focus include tuberculosis, influenza, and meningitis.
The successful applicant will be expected to participate as lead author in publications arising from this work and to communicate findings in oral presentations at national and international conferences. Strong emphasis will be placed on career development, communication skills, grantsmanship, and interdisciplinary research. The successful applicant will also have the opportunity to engage in other public health related problems including, but not limited to, adaptive response to novel viral pathogen outbreaks, controlling meningococcal epidemics in sub-Sahara Africa, and mitigating drug-resistant tuberculosis epidemics in high-burden settings.
We are seeking candidates willing to commit to at least 2 years of work on this project.
We are eager to speak with candidates that are passionate about applying their existing scientific computing and programming skills to help address urgent public health problems.
Qualifications and Skills
- Doctoral degree in Computational Biology, Applied Mathematics, Ecology, Epidemiology, Evolutionary Biology, Statistics, Biostatistics, Operations Research, Computer Science or related disciplines.
- While not essential, previous experience with transmission dynamic models of infectious diseases of humans or animals, is ideal.
- Working knowledge of numerical analysis, statistical and mathematical/simulation methods.
- Strong programming skills (preferably in C++). Experience with Matlab and R is desirable.
- Experience with object-oriented, discrete-event, and agent-based simulation modeling is highly desirable.
- Experience with parallel and distributed computing, and using High Performance Computing clusters (Windows and Linux) is desired.
- Experience with designing, implementing, and analyzing large-scale simulation models is highly desirable.
Benefit and Compensation Information
Please submit a cover letter along with an updated resume/CV with contact information for 3 professional references and apply online at: https://academicjobsonline.org/ajo/jobs/7153
For any additional information, please visit the Yale School of Public Health website or contact either:
Associate Professor Ted Cohen, Department of Epidemiology of Microbial Diseases, Yale School of Public Health (email@example.com)
Assistant Professor Reza Yaesoubi, Department of Health Policy and Management, Yale School of Public Health (firstname.lastname@example.org)
Yale University is an Affirmative Action/Equal Opportunity Employer and welcomes applications from women, members of minority groups, persons with disabilities and protected veterans.