Position in infectious disease modeling in the area of antimicrobial resistance.

A postdoctoral research scholar position on antimicrobial resistance modeling is immediately available at Dr. Lanzas lab (North Carolina State University). The successful candidate will join one of the several NIH, FDA, and CDC-funded projects in the area of infectious disease epidemiology and modeling of antimicrobial resistance. The projects involve the development of probabilistic graphical models to integrate antimicrobial resistance genotypic, phenotypic and exposure data, the development of agent-based models of multidrug resistant pathogens to test interventions that minimize the evolution and spread of resistance in health-care settings, and the application machine-learning approaches to routinely-collected data on antimicrobial use and resistance, including electronic records, clinical diagnostic and surveillance data in support of antibiotic stewardship. The specific project will be tailored to the applicant’s skills and interests. The postdoctoral associate shall have a Ph.D. degree in a quantitative discipline (ecology, epidemiology, engineering, applied mathematics, computational biology, statistics and related fields) and have a deep interest in interdisciplinary collaboration, strong quantitative and programming skills, and good oral and writing skills are expected. Ph.D. or equivalent doctorate (e.g., M.D., D.V.M., Sc.D.) in an appropriate field awarded no more than five (5) years from initial date of postdoctoral appointment. The initial appointment will be for one year, with renewal for two or more years subject to satisfactory progress and mutual agreement. Salary is based on the recommended NIH pay scale.

To apply for the position, please send a cover letter, CV, and contact information for three references to clanzas@ncsu.edu

Type
Postdoc
Institution
North Carolina State University
City
Raleigh
Country
United States
Closing date
April 2nd, 2021
Posted on
February 2nd, 2021 16:29
Last updated
February 2nd, 2021 16:29
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