Postdoc: mathematical modeling-gene drive systems in Aedes aegypti mosquito Full-time

Postdoctoral: mathematical modeling of gene drive systems in Aedes aegypti mosquitoes

We have funding for a project titled: “Improving gene drive efficiency in Aedes aegypti
mosquitoes through novel target site selection.” Aedes aegypti is the primary vector of dengue,
Zika, chikungunya, and urban yellow fever. We are searching for a postdoc to work on the
modeling aspects of the project. The project is a collaboration between the Myles Lab
https://tamu.edu/myles-lab/ and the Ndeffo Lab https://vibs.tamu.edu/MartialNdeffo.

Research project will investigate an innovative strategy to improve gene drive efficiency in
Aedes aegypti mosquitoes through novel target site selection, an approach not previously
studied in this species. Specifically, we will investigate the potential of targeting a haplolethal
gene for effective genetic control of Ae. aegypti populations. The modeling aspect of the
project will focus on developing computational models to analyze the intricate dynamics of a
homing rescue drive targeting haplolethal gene in Aedes aegypti mosquito populations.
Additionally, it will evaluate the efficacy (ecological and epidemiological) of various drive
mechanisms based on this platform, including population replacement strategies, population
suppression approaches, and toxin-antidote systems.

The postdoc responsibilities will include, among others:
• Working with molecular biologists to develop and parameterize models of genetic
control systems
• Calibrating epidemiological models to available mosquito-borne disease data
• Contributing to related research on vector-borne diseases modeling.

The ideal candidate should have 1) a strong background in applied mathematical sciences,
computer science, or any other quantitative field, 2) experience with population biology,
population genetics, or ecological and epidemiological modeling, and 3) an interest in
mosquitoes and/or mosquito-borne diseases. The candidate should have demonstrably strong
programming skills in R or Python, and the ability to work independently and execute research
projects with minimal supervision. Good communication skills demonstrated by past
productivity including peer- reviewed publications and/or other scientific and technical output is
required for the position. Prior experience with vector-borne disease modeling will be a plus.

Review of applications will begin immediately, and the position will remain open until filled. The
position is available for a maximum of two years. Appointment will be made on a yearly basis,
renewable based on availability of funds. A competitive salary will be commensurate with
experience. The position comes with a standard benefits package available at Texas A&M
University.

Applications should include a CV, statement of research interests, copies of recent publications
(relevant to the position), the contact of two references and be e-mailed as a single pdf file to
m.ndeffo@tamu.edu. Only selected applicants will be contacted. Incomplete applications will not
be considered.

Texas A&M University is an Equal Opportunity/Affirmative Action/ Veterans/Disable Employer

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