[Job-offers-cs] Postdoctoral Fellow: Data-driven math modelling of microbial eco-evolutionary dynamics

[Pekka Orponen]

*Data-driven math modelling of microbial eco-evolutionary dynamics ***

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_Postdoctoral Fellow_at School of Biological Sciences, Georgia Institute 
of Technology (Georgia Tech), Atlanta, USA, mentored by Prof. Sam Brown 
(Biology) and Prof Rachel Kuske (Math).

/Project start date/: January 2024

The Brown and Kuske labs at Georgia Tech invite applications for a 
Postdoctoral Fellow on data-driven math modelling of microbiome 
dynamics. This NSF-funded project seeks to identify general rules 
governing the ecological and evolutionary stability of microbial 
communities in the face of biotic (principally phage) perturbation, 
through a close integration of theory, synthetic microbiome experiments 
and data analysis. The project will involve collaboration with our 
experimental partners in Prof Edze Westra's lab in the UK 
(westralab.wordpress.com/). <https://westralab.wordpress.com/).>

The Brown and Kuske labs are part of a thriving community of GT labs at 
the intersection of math and biology. Both labs are part of the Center 
for Microbial Dynamics and Infection (CMDI), which brings a wealth of 
resources to support trainee development and community building. Check 
out our websites below for more information.

Competitive candidates will have experience in cross-disciplinary 
research spanning math modelling and simulation, preferably with 
connections to the life sciences. Desirable experience includes 
nonlinear dynamics in applied contexts; data-led model identification; 
integrating theory, data, and simulation. Candidates will have a PhD (or 
close to completion) in fields such as Theoretical/Computational Life 
Sciences (eco-evolutionary dynamics a plus), Computational/Applied 
Mathematics or in a related field such as Biomedical Engineering, 
Biophysics or Computational Sciences.

The successful candidate will lead on the development of novel data-led 
eco-evolutionary theory, in close collaboration with experimentalists – 
including providing input on experimental design. Other core tasks 
include dissemination of results via publications and conferences. The 
Brown and Kuske labs have a strong commitment to mentorship, tailored to 
the career aspirations of each trainee. Depending on trainee goals, we 
can provide structured opportunities for outreach activities (e.g. 
programs via CMDI), teaching (opportunities in math, bio and math-bio) 
and fund-raising / project leadership (we have a strong track-record of 
securing independent fellowship awards for our trainees).

_How To Apply:_Review of applications will begin immediately, and we 
expect to make appointments in late 2023 or early2024.If you are 
interested, please send an email to Sam Brown 
(sam.brown at biology.gatech.edu <mailto:sam.brown at biology.gatech.edu>) or 
Rachel Kuske (rachel at math.gatech.edu <mailto:rachel at math.gatech.edu>) 
with a CV, a letter of interest, and contact info for 3 references.

Georgia Tech prides itself on its technological resources, 
(cross-disciplinary) collaborations, high-quality student body, and its 
commitment to building an outstanding and diverse community of learning, 
discovery, and creation. We strongly encourage applicants whose values 
align with our institutional values, as outlined in our Strategic Plan 
<https://strategicplan.gatech.edu/values>. These values include academic 
excellence, diversity of thought and experience, inquiry and innovation, 
collaboration and community, and ethical behavior and stewardship. 
Georgia Tech has policies to promote a healthy work-life balance and 
activities supporting career advancement.

Brown lab: https://brownlab.biology.gatech.edu/

Kuske lab: sites.gatech.edu/rkuske7-home 
<https://sites.gatech.edu/rkuske7-home/>

CMDI: https://microdynamics.gatech.edu/


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Rachel Kuske
School of Math
Atlanta GA
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-- 
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<https://www.informatics-europe.org/ecss/registration/how-to-register.html> 
open!

<https://www.informatics-europe.org/ecss/home.html>
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