A graduate assistantship is available in Lanzas lab at NCSU to work on the area of the epidemiology and ecology of enteric pathogens and antimicrobial resistance. Our research integrates multiple data sources, epidemiological analysis and mathematical models to study transmission mechanisms and drivers of enteric and antimicrobial resistant pathogens, including Enterohemorraghic E. coli, Clostridium difficile and Salmonella. A number of potential research projects are available and so the research focus may be tailored to the interests and skills of the individual. For more information on current projects and publications visit www.lanzaslab.org
Qualifications: Applicants with undergraduate in ecology and evolutionary biology, environmental sciences, or other related degree in a related area, or DVM degree are preferred. Individuals with an interest in quantitative methods and infectious diseases are encouraged to apply. Applicants must meet the requirements of the Comparative Biomedical Sciences graduate program at NCSU. For more information on the graduate program see:
Interested applicants should submit a letter of intent, curriculum vitae and the names and contact information for three references to email@example.com. Review of applicants will begin immediately and continue until suitable candidate is identified.
I welcome inquires regarding post-doc possibilities in our lab. A number of potential research projects are available depending on the fellow background. Current and past post-doc fellows have had a quantitative background (ecology, epidemiology, engineering, applied mathematics, statistics and related fields) and a deep interest in interdisciplinary collaboration.
Current Opportunity (July 2016)
One postdoctoral associate position on infectious disease modeling is available in Cristina Lanzas’ group (Department of Population Health and Pathobiology, North Carolina State University). Applicants with a background in mathematical modeling of infectious diseases and/or population biology are highly encouraged to apply.
The successful candidate will join an interdisciplinary group modeling the transmission dynamics of Clostridium difficile in health-care settings. Clostridium difficile is one of the most common health-care associated pathogens. The group is developing mean-field and agent-based models. The postdoctoral fellow will ideally work in expanding existent models to integrate multiple scales and data sources (e.g. omic, clinical and epidemiological data), linking C. difficile within host dynamics and transmission.
The postdoctoral associates shall have a Ph.D. degree in a relevant quantitative discipline (ecology, epidemiology, engineering, applied mathematics, statistics and related fields) and have a deep interest in interdisciplinary collaboration, strong quantitative skills and good oral and writing skills are expected. The applicants must have experience in R and/or MATLAB. Previous experience developing and implementing agent-based models and/or multi-scale models is desirable. The salary will be commensurate with the qualifications and experience of the individuals. Review of applications will begin July 11st and will continue until a suitable candidate is identified.
Undergraduate and veterinary students
Opportunities are available both in the summer and during the academic year. We welcome students motivated in learning infectious disease modeling and epidemiology. If interested please contact me by email with your CV, course background and research interests.