14 PhD positions across Europe in astronomy and computer science
University of Groningen
Faculty of Mathematics and Natural Sciences
SUNDIAL (SUrvey Network for Deep Imaging Analysis & Learning) is an ambitious interdisciplinary network of research groups in astronomy and computer science in the Netherlands, Belgium, Finland, France, Germany, Italy, Spain and the United Kingdom. The aim of the network is to develop novel algorithms to study the very large databases coming from present and future telescopes and simulations to better understand galaxy formation and evolution, and to prepare for the huge astronomical missions of the next decade. As a starting database SUNDIAL uses the KIDS survey and the deep wide-field survey of the Fornax cluster FDS, both observed with the OMEGACam instrument at the European Southern Observatory (ESO), as well as complementary imaging and spectroscopic surveys from various telescopes, such as VISTA, SAMI (AAT) and MeerKAT across the full electromagnetic spectrum.
Special for this network is that the PhD students are trained in two fields - computer science and astronomy, and scientific collaborations between the nodes are strongly encouraged. The techniques that we develop (in machine learning and mathematical morphology) will be applied to problems in galaxy evolution, as well as other fields. With companies we will look for commercial applications.
SUNDIAL (SUrvey Network for Deep Imaging Analysis & Learning) invites applications for 14 junior scientist (PhD) positions for its program on Galaxy Evolution and Big Data, where astronomers and computer scientists work together on big data algorithms, and apply them to the study of the formation and evolution of galaxies. The research will be carried out at nine European institutes with possible internships at 5 companies http://www.astro.rug.nl/sundial
The individual PhD-projects, which will start between June and September 2017, are described on the SUNDIAL web pages.
Applicants need to have finished the equivalent of a Masters degree in astrophysics, computer science, or a related field of study by the start of their contract.
Conditions of employment
Positions are available across all our nodes, and successful candidates will spend at least six months at secondary nodes. Network activities include internships at our commercial partners, training schools and one or more conferences. Details of the available positions can be found on our webpage, http://www.astro.rug.nl/sundial, before applying. The duration of contracts will be 36 months; funding for an additional fourth year is or may become available (see the individual projects). Financial conditions and benefits are excellent, include generous mobility and living allowance, following EU guidelines. We invite applicants from all nationalities, although EU rules on research experience and residency apply, as outlined on our website. Application You may apply for this position until 20 December 23.59h / before 19 December 2016 Dutch local time by means of the application form (click on "Apply" below on the advertisement on the university website). Applicants have ideally finished the equivalent of a Masters degree in astrophysics or a related field of study by the start of their contract (in the Summer of 2017). This should be confirmed in the letters of reference by their research supervisor or Head of department. Applications must be made using the application form on the website (https://www.astro.rug.nl/~peletier/sundial/form_sundial.txt), and must be submitted by 15 December 2016. There is no need to upload a motivation letter in the application form, but to upload the application form (in pdf) is mandatory, preferably in the box marked 'motivation letter'. Two letters of recommendation must be submitted by the same date to: firstname.lastname@example.org SUNDIAL is committed to equal opportunities exclusively on merit. Unsolicited marketing is not appreciated.
For additional information, please contact:
Prof. R.F. Peletier
In your application, please always include the job opening ID B057-70216
Digital application form