The Department of Astrophysics at the University of Vienna is offering a 4-year PhD position on “Unveiling merged satellite galaxies from integrated-light spectroscopy” in the group of Prof. Glenn van de Ven with starting date as early as 1 March 2020.
We seek an outstanding PhD candidate to work in our research team in which we develop and apply novel population-dynamical models to nearby galaxies to uncover their luminous and dark matter distribution as well as to unravel their formation history. Driven by gravity, galaxies continuously grow through accretion of smaller systems. While stellar streams only reflect the most recent accretion events as the stars quickly disperse, the birth place of stars remains imprinted in their chemical properties with accreted stars from satellite galaxies typically less enriched. The focus of the doctoral thesis will be to exploit this 'population memory' encoded in integrated-light spectroscopic observations to infer the contribution of accreted stars and subsequently unveil the now-merged satellite galaxies in which they were born.
We offer a stimulating research environment with staff working in various areas of astrophysics. Our team has privileged access to the Vienna Scientific Cluster super-computing facility. As a member state of ESO and ESA, Austria has access to their first-class observing facilities. Generous financial support for computing equipment and travel is available.
You should have a MSc degree in astronomy or astrophysics with affinity for programming. Good programming skills are highly desirable, while expertise in stellar spectroscopy and modelling are assets. Participation in teaching and supervision of students is requested, and excellent communication skills in English is required.
If you are interested, please apply on-line via https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/ (job 9902) before the closing date of 30 November 2019. Your application should be a single PDF file that includes a letter of motivation and a curriculum vitae including research experience, publications and presentations. You should also arrange for at least 2 persons to send a recommendation letter to email@example.com (mentioning reference number 9902) by the closing date.