• Postdoctoral Associate (Kussell Lab)

    New York University (New York, NY)


    The Kussell lab at NYU Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate.

     

    Current projects in the Kussell lab investigate gene regulation and phenotypic memory, stochastic switching, cell size control, and recombination in bacteria.

     

    Planned projects require a high degree of proficiency in evolutionary theory, mathematical and computational biology, and population genetics with an emphasis on microbial population biology.

     

    In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $62,500 – $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.

     

    The ideal candidate will hold a PhD, have prior research experience in (i) writing efficient code to simulate populations adapting on complex fitness landscapes, (ii) using analytical theoretical approaches, including path integral techniques, to model evolving populations, and (iii) analyzing quantitative microbiology datasets to test theoretical predictions. Substantial prior training and experience in mathematics and biophysics are required.

     

    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.

     

    For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

     

    NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

     

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