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  • Postdoctoral Research Associate - Speciation Genomics (using birds)

    • Employer: Kira Delmore - Texas A&M
      Location: College Station, TX
      Country: United States
      Last Date to Apply: 11/01/2018
      Open Until Filled: Yes

    Postdoctoral Research Associate

    Speciation Genomics

    Delmore Lab, Texas A&M University




    Recent advances in sequencing technologies have allowed us to answer questions in the speciation literature we couldn’t even begin to approach before. These advances have also resulted in the generation of new exciting questions in speciation genomics. We are searching for a Postdoctoral Research Associate to lead a project on this topic.

    One example of a research avenue we are interested in is the observation that estimates differentiation between closely related populations and across the genome are often highly variable. Divergent selection at “speciation genes” and gene flow were initially proposed to explain these patterns but the importance of linked selection has recently been highlighted. Linked selection itself could result from positive or negative selection which may or may not carry over from past speciation events.

    Take a look at the publications below to see the kind of work we have already done on this topic. We encourage applicants to bring their own ideas as well and are open to work on different aspects of speciation genomics.


    Delmore KE et al. 2018. Comparative analysis examining patterns of genomic differentiation across multiple episodes of population divergence in birds. Evolution Letters doi:10.1002/evl3.46.

    Irwin DE, Alcaide M, Delmore KE, et al. 2016. Recurrent selection explains parallel evolution of genomic regions of high relative but low absolute differentiation in a ring species. Molecular Ecology, 25:4488-4507.

    Delmore KE et al. 2015. Genomic analysis of a migratory divide reveals candidate genes for migration and implicates selective sweeps in generating islands of differentiation. Molecular Ecology, 24:1873.



    We are part of the Biology Department at Texas A&M (https://bio.tamu.edu) along with the interdisciplinary programs of Genetics (https://genetics.tamu.edu) and Ecology and Evolutionary Biology (https://eeb.tamu.edu). These programs bring together members of many departments across campus from international backgrounds.

    We have considerable expertise in the fields of evolution and genomics including groups working on comparative genomics, quantitative genetics, phylogenetics, theoretical population genetics and the development of computational methods.

    The atmosphere is collaborative, enthusiastic and supportive. You will be able to develop substantial genomic and computational skills while you’re here, collaborate and build your own career.

    Texas A&M is a Tier 1 institution with an amazing number of facilities to support research. College station itself is a small, friendly university town that is located between Austin and Houston. It is the perfect venue for getting work done while having access to vibrant city centers full of entertainment and culture.



    Applicants should have a PhD in Biology or a related field. They should also have experience working with next-generation sequencing data, computational and statistical methods.

    We are interested in applying statistical models to questions of speciation genomics. Accordingly, experience and/or a desire to work with these tools would be a great addition to an applicants skills but is not required.

    We expect applicants to exhibit a desire to work collaboratively and help maintain a supportive environment in our lab. This could include helping undergraduate and/or graduate students working on similar topics but will require a good degree of self-motivation as well. It’s important to be able to present ideas and research to others so we also value good oral communication skills.



    Applicants should send (1) a letter of motivation that includes their research interests and career goals and (2) a CV that includes the names, emails and phone numbers of at least two references to Kira Delmore (kdelmore@bio.tamu.edu). Applications will be reviewed as received with a final deadline of Nov 1. Please get in touch if you cannot make this deadline or have any additional questions.

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