Postdoc, PhD, data scientist positions in Computational Biology (Univ. of Vienna)

apply by 30 April 2021

Starting in August 2021, 3 positions for a postdoctoral researcher (3 years), a data scientist/postdoc (2 years) and a PhD student (4 years) will be opening in the new group for Computational Admixture Genomics, with funding from the WWTF. We will study admixture landscapes in genomes of multiple species (primates, humans) using present-day, historical and ancient DNA. The group will be part of a multi-disciplinary Evolutionary Anthropology department which is currently expanding in evolutionary genetics and ancient DNA research.

Lab members will have access to all necessary resources and excellent computational infrastructure at the new biology center of the university. The group will be part of a multi-disciplinary Evolutionary Anthropology department which is currently expanding in evolutionary genetics and ancient DNA research. There will be opportunities for collaborations inside and outside the department. Vienna is a hotspot for evolutionary research and a city of high quality of living.

Salaries follow the collective agreements of the university. The University of Vienna, the Department of Anthropology, and I as group leader support equality and diversity.

​For all positions, to apply, please send a cover letter explaining your motivation, a curriculum vitae, and contact information of 3 references (2 for PhD student) to martin.kuhlwilm@freenet.de or martin.kuhlwilm@upf.edu

Please apply until (including) April 30th!

1. Postdoctoral fellow (3 years)

The main project of the postdoctoral fellow will focus on developing strategies for analysing patterns of gene flow in large datasets of different species, mostly primates including humans, and possibly other species. These strategies will rely on computational methods, including demographic modeling, Bayesian methods, or machine learning, to identify introgressed material in different species. Applicants should have experience in such approaches, as evidenced by publications/PhD thesis.
Prospective applicants should hold a PhD  degree in Computational Biology, Evolutionary Genomics, Statistics, Bioinformatics, or related fields. The position is for a period of 3 years (with the possibility of extension).

2. Data Scientist/Postdoctoral fellow/Bioinformatician (2 years)

The data scientist/postdoc will process, curate and analyse large genomic datasets from ancient, historical and present-day genomes from humans and other species. A background in bioinformatics and/or data analysis is required for this position, either a PhD in the field, or experience as evidenced by publications (like public analysis pipelines or similar).

3. PhD student (4 years)

The main project of the PhD student (4 years) will be work on gene flow in large ancient/historical genome data from humans (and possibly other species). This could involve spatiotemporal approaches on introgression landscapes, the analysis of ancient DNA data from modern humans or historical primate samples.

This will integrate with the method development of the Postdoctoral fellow, as well as the ancient DNA lab of Prof. Pinhasi, a leading expert in ancient DNA research and key collaborator.

Prospective students should hold a Master's degree in biology or a related field, and be willing to analyse large datasets using computational methods.

The PhD student will be part of the Doctoral School of Ecology and Evolution.

{{ search }}