A new position for a Data Scientist is open for applications until 31 March. The role of the Data Scientist will will be to develop and apply innovative deep learning techniques to object classification in the ESO and ALMA Science Archives. With a user base of thousands of scientists, the archives are a rich and powerful resource for the astronomical community worldwide. The Data Scientist will be responsible for designing, building and training a system based on deep learning object classification techniques with the goal to automatically classify astronomical images and spectra to open up innovative ways for scientists to use the data.
Vacancy for Data Scientist at ESO
Published: 24 Mar 2019
The postholder will research the algorithms most suitable for the content of ESO's Science Archives. They will be expected to contribute innovative ideas to develop the system and critically evaluate and verify the results, including an analysis of limitations. The application of the developed methodologies to data beyond ESO's current concepts may also be explored.
The position is in the context of the EU project 824064: the European Science Cluster of Astronomy & Particle Physics ESFRI Research Infrastructures (ESCAPE). This project addresses the critical areas of Open Science and ensuring the long-term reuse of data by joining many of the largest European scientific facilities in physics and astronomy.
The closing date for applications is 31 March 2019. More details can be found here. Applications should be made online through the ESO Recruitment Portal.