Postdoc Opportunities

I am currently seeking two postdocs for NSF-funded work in my lab. One will work on developing and deploying new methods to compute and distribute chronograms, and the other will work on approximate Bayesian computation methods for comparative methods of univariate and multivariate traits. My lab is based in Knoxville, TN, an area rich in natural beauty, computational resources, and affordability. However, working remotely is possible for candidates with the demonstrated ability to do so successfully. Out of 12 postdocs I have mentored directly through my lab or as one of their National Institute for Mathematical and Biological Synthesis (NIMBioS) mentors, seven have chosen to go onto tenure track faculty positions, two are working in health research positions, and three are currently postdocs. I strive to create a welcoming and diverse environment.  Research in the lab ranges from empirical work on plant diversification to quantitative trait evolution models to models of protein evolution.

Applications should be emailed to and should include
1) A cover letter (include expected completion date of PhD, if appropriate, as well as relevant skills)
2) A CV
3) A short research statement
4) Contact information for two references
5) Link(s) to repositories with examples of code you have written or attachments including such code.

Please feel free to contact me with questions before formally applying.

More information about the research:

  • The DateLife project is to allow easier communication and creation of chronograms. It has an R package and website so far (both alpha-quality at the moment). Here is the grant describing the work.
  • The comparative method project extends TreEvo. Here is the grant describing that work.

Experience in programming is strongly preferred; experience in R is desired, but not required. If in doubt, apply: please do not self-select yourself out from what might be a mutually beneficial position.

Review of applications will continue until filled (start dates are flexible). Presubmission inquiries are encouraged.

All qualified applicants will receive equal consideration for employment and admissions without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status.

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