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GAIA DPAC Software Engineer
2019-03-05 13:31:03| Space-careers.com Jobs RSS
Aurora is an established supplier of skilled manpower to ESA and in particular at ESTEC and ESAC. Aurora has the opportunity to expand our support to Gaia within ESAC. Overview ESAs Gaia mission is designed to create an accurate and complete astrometric catalogue which will serve for decades to come More than 1000 Million objects mostly stars in our Milky Way down to apparent magnitude 20 will be repeatedly observed from the second Lagrange point L2 during the satellites nominal lifetime of 5 years. This will yield a raw data volume of about 100 TB 1 PB total from which each stars position, trigonometric parallax, and proper motion for a smaller subset also radial velocity will be determined to microarcsec accuracy typically 25 as for parallax at 15th magnitude. The data processing and catalogue creation is carried out by the Gaia Data Processing and Analysis Consortium DPAC formed by around 400 individuals and six main data processing centres distributed across Europe. The increasing complexity of the DPAC operations, with all DPCs and CUs receiving data products virtually from all other groups, requires detailed understanding of the quality and limitations of the intermediate data products delivered to the Main Data Base. Gaia Data Release 3 as per current planning to appear in two stages in mid2020 EDR3 and 2ndhalf of 2021 DR3 will be substantially larger in data volume and much richer in contentcompared to previous public releases. DPACs CU8 will for the first time contribute, for a large number of stars, astrophysical parameters effective temperatures, surface gravities, stellar radii etc that have been computed from various data processing products of other CUs e.g. photometry from CU5, variability information from CU7. The validation of such data represents a formidable technical challenge in terms of hardware and database resources as well as needing specific expertise in data mining, data modelling, data querying and related topics all with an astrophysical and Gaiaspecific emphasis.The main objective of the requested service is to build and operate a data validation support platform which will allow CU8 scientists to carry out all needed validation activities in preparation for DR3. Once this key objective has been met the service is expected to shift towards supportingongoing efforts within the Gaia SOC to provide stateoftheart data mining capabilities for DR3 endusers. Specific Service Tasks The DPAC Software Engineerwill provide a service to support the following main activities Build and operate a data validation support platform for CU8 Formulating requirements for the envisaged validation platform in close interaction with CU8 and SOC personnel. Defining the hardware and software environment needed to fulfil the requirements of the CU8 validation system. Supporting the process of purchasing the needed resources for the platform. Supporting the deployment of the validation platform. Aiding CU8 in defining data models and data mapping rules. Supporting CU8 scientists in all activities related to their usage of the provided platform. Proactively advising CU8 scientists in optimizing validation strategies. Contribute to provision of stateoftheart data mining capabilities for DR3 endusers Find synergies within the data mining needs internal to CU8 and CU9 validation groups. Develop, in close cooperation and under the authority of the CU9 data mining lead, the CU8 and CU9 internal services into a unified framework with frontend portal to provide data mining services ultimately to the endusers. Specific qualification requirements University degree in Software Engineering. Knowledge and software engineering experience in Python and Java. Knowledge ofHTML5, CSS and Javascript, for development of the data mining frontend, is an asset. Knowledge of and practical experience with managing relational database managementsystems serving TBscale datasets, specifically knowledge of PostgreSQL. Knowledge of and, ideally experience with, stateoftheart data mining concepts and related technologies, including practical experience with Apache Spark. Knowledge of Jupyter Notebook, Jupyter Lab and Jupyter Hub frameworks, their APIs and kernels. Experience in working with large astronomical data sets. Experience working in an international environment. Excellent communication skills notably in interfacing with different stakeholders with diverse backgrounds for example Scientists. You must be able to work in English. Legal and Security Requirements All applicants must be legally allowed to work in Spain without the need to obtain a work visa. Only European Union citizens can be employed by Aurora in Spain. Applicants are required to provide a copy of their passport and degree certificate. Aurora will validate the Degree with the issuing University and provide evidence to ESA. In line with ESAs security requirements, prior to issuing a letter of employment the applicant shall provide to Aurora a recent official document declaring that they are of good conduct from the country where currently resident, and Aurora will validate your employment history. Location It is expected that the work will be performed at the ESAC, the European Space Astronomy Centre, at Villafranca del Castillo, near Madrid, Spain. Contract The selected candidate will receive good remuneration in line withESA Job Class, which is defined as E3a. You will be registered for both social security and tax in Spain. The standard working hours are 40 per week. There are 12 public holidays and an additional 30 annual days holiday. In addition to public health services Aurora provides private medical insurance in Spain. Training to improve efficiency and provide strength for future career are of course included. Aurora can assist financially and provide recent experience information for relocation. To be considered for this Position Provide prior to 26 March2019a summary of why you are a good candidate for the position together with a complete and detailedCandidate Proposal Form or CV and Motivation Letter toMr. Davide StarnoneandMs. Tracey Longden, at emaildavide.starnoneaurora.nlandtracey.longdenaurora.nlquoting referenceSCO165RTSSCIOOO00165. Please read our Recruitment Process for ESA for more details. Aurora will agree conditional employment terms and conditions with candidates before presenting them by 1April 2019, 13.00 hours.
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