Website Washington University
The Departments of Biology, Physics, and Chemistry at Washington University in St. Louis are conducting a cluster search in theory, computation, and data science of living systems to fill tenure-track faculty positions at the rank of assistant or associate professor. The Biology department is particularly excited to see candidates using quantitative and computational approaches to study evolution, ecology, and population dynamics in plants, animals, and microbes. This cluster aims to create a hub of researchers using theoretical, computational, artificial intelligence, statistics, and data-science methods to advance life sciences from molecular to ecological scales. We seek candidates whose research synergizes with current areas of strength at WashU. Candidates whose research includes an experimental component but is primarily focused on developing theoretical, computational, and data-science methods will be favorably considered. Joint applications exhibiting a high degree of research synergy are welcome.
Qualifications required include a Ph.D. degree in an appropriate area, a strong commitment to developing an externally funded, internationally recognized research program, and a desire to contribute significantly to both the undergraduate and graduate curricula through teaching and mentorship. Graduate education in life sciences is administered through the Roy & Diana Vagelos Division of Biology and Biomedical Sciences (http://dbbs.wustl.edu/). Extensive opportunities for interactions and interdisciplinary collaboration are available within the WashU community.
Review of applications will begin October 19, 2024. We would greatly appreciate your help in identifying candidates for this cluster search. Please encourage outstanding candidates to apply and feel free to share this email with colleagues. They may contact any member of the search committee (listed below) with specific questions. The advertisement that appeared on the career website of Science and information on how to apply may be viewed here: apply.interfolio.com/152466
To apply for this job please visit apply.interfolio.com.