The Kussell Lab at NYU’s Center for Genomics and Systems Biology seeks a highly motivated and independent individual to work as a Postdoctoral Associate performing computational and theoretical research in bacterial population genetics and evolutionary dynamics. A start date in the range December 1, 2024 – March 1, 2025 would be ideal; later start dates will be considered.
The postdoctoral associate will be hired to work on a project focused on understanding the impact of recombination on bacterial population dynamics and genome evolution. A major component of the work will be computational, involving a substantial amount of programming and data analysis, including development of new methods and algorithms. The postdoctoral associate could also develop analytical theory to address a range of related questions.
The postdoctoral associate will additionally be able to contribute to other projects working with experimentalists in the Kussell Lab and our collaborators. Current experiments in the lab are focused on understanding how gene regulatory strategies and physiological mechanisms – including stress responses, stochastic switches, and phenotypic memory – evolve in bacterial populations under fluctuating conditions.
We use a combination of quantitative microbiology techniques, synthetic biology, microfluidics, microscopy, and sequencing-based methods to track population structure during temporal fluctuations. We use biophysical theory and modeling to develop analytical frameworks that enable mechanistic inferences, inform experimental design, and reveal new biological functions.
In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $63,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Qualifications
The ideal candidate will hold a PhD, have a track record of peer-reviewed publications, and have prior research performing computational or theoretical work in biology, physics, computer science or related disciplines. In particular, the candidate would ideally have prior experience in one or more of the following: population genetics, evolution, microbiology, biophysics, or statistical physics.
Application Instructions
Please upload your application materials via Interfolio. Include the following items: 1) CV including a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information.
