PhD Position in Computational Biology: Embark on a cutting-edge research project at the University of Veterinary Medicine Vienna, exploring the evolutionary significance of gene flow during species divergence. Develop more realistic models and computationally efficient methods to analyze extensive phylogenomic datasets using RevBayes software.
PhD Position in Computational Evolutionary Biology: Unraveling the Impact of Gene Flow during Species Divergence
Summary Table:
| Location: | University of Veterinary Medicine Vienna |
|---|---|
| Eligibility/Qualification: | Proficiency in at least one coding language; Understanding of evolution and handling of genomic data or statistical inference. |
| Salary: | 14 times a year, according to provided table. |
| How to Apply: | Submit CV and one-page cover letter to ruiborges23@gmail.com. |
| Last Date for Apply: | May 30th (Rolling basis until suitable candidate is selected) |
Description: We are seeking a highly motivated PhD student with skills in computational biology and/or biostatistics to unravel the impact of gene flow during species divergence. Current models in evolutionary biology lack efficiency in assessing gene flow along multiple speciation events, particularly at deep time horizons. This project aims to fill this gap by developing more complex phylogenetic models and drawing insights from diverse organisms such as grasshoppers, fruit flies, persimmon trees, and fireflies.
Key Questions to be Addressed:
- What is the evolutionary significance of gene flow during species divergence?
- Are most regions of the genome affected by gene flow, or do some regions show an elevated impact of gene flow?
- What is the interplay between natural selection and gene flow during species evolution?
The successful candidate will be stationed at the University of Veterinary Medicine Vienna and affiliated with the Vienna Graduate School of Population Genetics, with potential opportunities for assignments abroad.
How to Apply: Interested candidates are invited to submit their applications, including a brief CV and a one-page cover letter outlining their research experience and interest in the project, to ruiborges23@gmail.com. Applications will be evaluated on a rolling basis until a suitable candidate is selected. For further information, contact ruiborges23@gmail.com.
