Join

PAT building, UT Austin campus. We sit at the top (6th) floor.

Our group exists to train people to study statistical, population and evolutionary genetics using quantitative approaches. Lab members may come from a variety of backgrounds. As part of their work, lab members analyze (typically big) genomic data, develop mathematical/statistical models and/or computational analysis tools. Members of the lab have extensive latitude to design their own projects within our broad areas of interest.

The group has lab spaces in both the Patterson Labs (PAT) building, a part of the College of Natural Sciences at UT, and the Health Discovery Building (HDB), a part of the Dell Medical School

We are looking to recruit curious and motivated scientists at all levels and informal inquires are welcome. Candidates from diverse scientific and personal backgrounds are especially encouraged to apply.  

Postdoctoral researchers

We are looking to hire postdocs. Prospective postdocs must have a strong quantitative background and/or extensive experience with genomic data analysis, as well as a sincere interest in tackling questions in biology. Positions in the lab offer a competitive salary and standard UT benefits. Both informal inquiries are and complete application are most welcome, and should be sent over email. Complete applications include a CV, examples of your, 2-3 professional reference letters (sent separately) and a cover letter that briefly describes your research experience, interests and goals for your postdoctoral training and how you view those as intersecting with ours

Graduate students

We are looking to recruit graduate students with an interest in evolution and genetics, and preferably a strong quantitative background. Options for doctoral programs include the Ecology, Evolution and Behavior program, the Cell and Molecular Biology (research tracks: Bioinformatics and Computational Biology or Molecular Genetics), Computer Science and the Statistics and Data Science program.

It is a good idea to contact us in advance if you are considering applying to one of these graduate programs and interested in joining us. I will do my best to help you with the admission process.

Undergraduates, Master’s students, and others

People interested in joining the lab should write to Arbel with a CV, relevant course history, grade transcript and statement of your interests and experience. Please also note the bandwidth that you expect to be able to devote to work in the lab. Undergraduate and Master's student must have a strong quantitative and/or computational background. Undergraduate research effort in the lab is compensated either in academic credit or hourly pay. In cases of a compelling research fit, students at other institutions may be able to arrange for paid summer or remote internships.