{"id":3603,"date":"2023-02-06T10:46:34","date_gmt":"2023-02-06T09:46:34","guid":{"rendered":"https:\/\/sites.lesia.obspm.fr\/envision\/?page_id=3603"},"modified":"2023-05-18T18:29:24","modified_gmt":"2023-05-18T16:29:24","slug":"vacancies","status":"publish","type":"page","link":"https:\/\/sites.lesia.obspm.fr\/envision\/vacancies\/","title":{"rendered":"Vacancies \/ Job opportunities"},"content":{"rendered":"\n<p>Page updated 18 May 2023<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">EnVision Job opportunities in ESA-ESTEC (deadline 25 May 2023) <\/h2>\n\n\n\n<p>EnVision, an ESA-led mission in partnership with NASA, will be the first mission to investigate Venus from its inner core to its upper atmosphere, characterising the interaction between its different envelopes: its atmosphere, surface\/subsurface and interior. It aims to provide a holistic view of Venus, studying the planet\u2019s history, activity, and climate. EnVision is an ESA-led mission in partnership with NASA, with NASA providing the Synthetic Aperture Radar (VenSAR) and Deep Space Network support for critical mission phases.&nbsp;ESA is currently hiring new team members to help us in our mission.&nbsp; <\/p>\n\n\n\n<p>ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore&nbsp;welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, beliefs, age, disability or other characteristics. Applications from women are encouraged.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"480\" src=\"https:\/\/sites.lesia.obspm.fr\/envision\/files\/2023\/05\/1684326081429-1.jpeg\" alt=\"\" class=\"wp-image-3701\" srcset=\"https:\/\/sites.lesia.obspm.fr\/envision\/files\/2023\/05\/1684326081429-1.jpeg 800w, https:\/\/sites.lesia.obspm.fr\/envision\/files\/2023\/05\/1684326081429-1-300x180.jpeg 300w, https:\/\/sites.lesia.obspm.fr\/envision\/files\/2023\/05\/1684326081429-1-768x461.jpeg 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">EnVision Mission Systems Engineer &amp; Performance Lead<\/h3>\n\n\n\n<p>Tasks and responsibilities to include ensuring MRD requirements flow-down to each mission segment is properly defined, justified, implemented and verified. Required is a broad background in the various technical disciplines involved in space systems; system thinking with solid knowledge and understanding of requirements engineering and maintenance; m anagement and review of complex system performance budgets. More info: <a href=\"https:\/\/jobs.esa.int\/job\/Noordwijk-Mission-Systems-Engineer-&amp;-Performance-Lead-%28EnVision%29\/933191401\/\">https:\/\/jobs.esa.int\/job\/Noordwijk-Mission-Systems-Engineer-&amp;-Performance-Lead-%28EnVision%29\/933191401<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">EnVision AIT &amp; Launcher Manager <\/h3>\n\n\n\n<p>You will be the book-captain of the System Assembly, Integration and Test Requirements Document (SARD), and you will be in charge of planning a coherent and effective Assembly, Integration and Test (AIT) programme at Spacecraft level.&nbsp;More info: <a href=\"https:\/\/jobs.esa.int\/job\/Noordwijk-AIT-&amp;-Launcher-Manager-%28EnVision%29\/933189701\/\">https:\/\/jobs.esa.int\/job\/Noordwijk-AIT-&amp;-Launcher-Manager-%28EnVision%29\/933189701<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">EnVision Spacecraft Engineering Manager<\/h3>\n\n\n\n<p>You will be the book-captain of the System Assembly, Integration and Test Requirements Document (SARD), and you will be in charge of planning a coherent and effective Assembly, Integration and Test (AIT) programme at Spacecraft level.&nbsp;&nbsp;More info: <a href=\"https:\/\/jobs.esa.int\/job\/Noordwijk-Spacecraft-Engineering-Manager-%28EnVision%29\/933197901\/\">https:\/\/jobs.esa.int\/job\/Noordwijk-Spacecraft-Engineering-Manager-%28EnVision%29\/933197901<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">EnVision Payload Manager <\/h3>\n\n\n\n<p>You will interface with the mission&#8217;s scientific consortia for the development of the EnVision instruments, monitoring the instruments technical and programmatic progress and providing management and technical support where necessary.&nbsp;&nbsp;More info: <a href=\"https:\/\/jobs.esa.int\/job\/Noordwijk-Payload-Manager-%28EnVision%29\/933192501\/\">https:\/\/jobs.esa.int\/job\/Noordwijk-Payload-Manager-%28EnVision%29\/933192501\/<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Job opportunities in RSLab, University di Trento<strong> <\/strong>(deadline 30 May 2023) <\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"281\" src=\"https:\/\/sites.lesia.obspm.fr\/envision\/files\/2023\/05\/1682931077034.jpeg\" alt=\"\" class=\"wp-image-3659\" srcset=\"https:\/\/sites.lesia.obspm.fr\/envision\/files\/2023\/05\/1682931077034.jpeg 800w, https:\/\/sites.lesia.obspm.fr\/envision\/files\/2023\/05\/1682931077034-300x105.jpeg 300w, https:\/\/sites.lesia.obspm.fr\/envision\/files\/2023\/05\/1682931077034-768x270.jpeg 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Post-Doctoral Position, Remote Sensing Laboratory, University of Trento, Italy<\/h3>\n\n\n\n<p>RSLab at the University of Trento (Italy) is looking for strongly motivated candidate PhD students having excellent study career and interested in research activities on artificial intelligence, machine learning, radar and remote sensing for Earth observation and\/or planetary exploration. Applications in the framework of the&nbsp;<a href=\"https:\/\/iecs.unitn.it\/education\/admission\">PhD School in Information Engineering and Computer Science<\/a>&nbsp;at the University of Trento are open on the following specific topics:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/iecs.unitn.it\/education\/admission\/reserved-topic-scholarships#D1\">D1 \u2013 Development of methodologies based on machine learning and artificial intelligence for the automatic analysis of hyperspectral and multispectral satellite remote sensing images<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/iecs.unitn.it\/education\/admission\/reserved-topic-scholarships#D2\">D2 \u2013 Machine learning and artificial intelligence methodologies for the automatic analysis of data acquired by planetary radars&nbsp;<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/iecs.unitn.it\/education\/admission\/reserved-topic-scholarships#D3\">D3 \u2013 Radar sounder for the analysis of the sub-surface of planetary bodies<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/iecs.unitn.it\/education\/admission\/reserved-topic-scholarships#D4\">D4 \u2013 Artificial intelligence for remote sensing time series analysis<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/iecs.unitn.it\/education\/admission\/reserved-topic-scholarships#D5\">D5 \u2013 Artificial intelligence methods for radar sounder data processing<\/a><\/li>\n<\/ul>\n\n\n\n<p> In particular, the focus of the research will be on one of the instruments on-board Envision which is the Sub-surface Radar Sounder (SRS).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Post-Doctoral Position, Remote Sensing Laboratory, University of Trento, Italy [NOTE: deadline has passed]<\/h3>\n\n\n\n<p>The objective of the research&nbsp;can be focused on different directions depending on&nbsp;the know\u2013how of the selected candidate and should&nbsp;be related to AT LEAST ONE of the following&nbsp;topics:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>1) Detailed study of the and characterization&nbsp;of&nbsp;the&nbsp;scenaria&nbsp;assciated&nbsp;with&nbsp;the&nbsp;science&nbsp;objectives&nbsp;of&nbsp;SRS. Identification&nbsp;of&nbsp;terrestrial&nbsp;analogous, collaboration to the development of&nbsp;campaigns&nbsp;of&nbsp;data&nbsp;acquisition&nbsp;by&nbsp;radar&nbsp;sounder\/ground penetraring radar from ground and&nbsp;drone and related data analysis.<\/li>\n\n\n\n<li>2) Development of&nbsp;methodologies&nbsp;for&nbsp;the&nbsp;simulation&nbsp;of&nbsp;the&nbsp;perfomances of SRS and application of them to the&nbsp;analysis of&nbsp;the&nbsp;EnVision&nbsp;mission&nbsp;scenario.&nbsp;In&nbsp;particular, the activity should study in a detailed way&nbsp;the radar performances versus both the main&nbsp;parameters considered for the instrument and the&nbsp;different conditions expected on the surface and&nbsp;sub\u2013surface&nbsp;of&nbsp;Venus.<\/li>\n\n\n\n<li>3)&nbsp;Development&nbsp;of&nbsp;techniques&nbsp;for&nbsp;the&nbsp;processing&nbsp;of&nbsp;the&nbsp;signals&nbsp;acquired by the radar both in terms of low\u2013level&nbsp;processing and of information extraction form the&nbsp;radargrams.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>The research will be developed at the&nbsp;<a href=\"https:\/\/rslab.disi.unitn.it\/\">Remote&nbsp;Sensing&nbsp;<\/a>Laboratory&nbsp;of the&nbsp;<a href=\"https:\/\/www.disi.unitn.it\/\">Department of Information Engineering and Computer Science<\/a>&nbsp;of the&nbsp;<a href=\"https:\/\/www.unitn.it\/\">University of Trento<\/a>.<\/p>\n\n\n\n<p>Closing date: April 12, 2023, hrs. 12:00 PM (CEST)<br \/>Duration: 2 years<\/p>\n\n\n\n<p>The call and more information on the application can be found&nbsp;<a href=\"https:\/\/www.unitn.it\/en\/ateneo\/bando\/78357\/department-disi-call-for-the-selections-for-the-awarding-of-no-1-research-fellowship-decree-no-70202\">here<\/a>.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">ESA Young Graduate Trainee (YGT) in Planetary Data Processing and Data Visualisation [NOTE: deadline has passed]<\/h3>\n\n\n\n<p>Vacancy Position:&nbsp;Young Graduate Trainee (YGT) in Planetary Data Processing and Data Visualisation at ESAC, near Madrid, contributing to the EnVision science operations study <br \/><\/p>\n\n\n\n<p>The Department for Science and Operations\u202f hosts the scientists and engineers that oversee the space missions, from study to end of operations. It develops the science operation systems for the missions and operates the missions in space, as well as archiving and curating their data during operations and beyond. It also supports the science instrument teams (external to ESA) in the definition of operations concepts and with instrument calibration activities.&nbsp;<\/p>\n\n\n\n<p>EnVision is a mission to Venus, currently under study and expected to be formally adopted by the agency in 2024 and launched in 2031. It is an ESA-led mission in partnership with NASA. The traineeship is for young researchers having concluded their masters.&nbsp;The trainee shall investigate the use of the ESA Data Lab environment for the hosting of EnVision pipelines and quick-look tools, enabling efficient data and tool sharing within the instrument teams and across teams as needed.&nbsp;<\/p>\n\n\n\n<p>Application closing date:&nbsp;&nbsp;28 February 2023 23:59 CET\/CEST<\/p>\n\n\n\n<p>More information:&nbsp;<a href=\"https:\/\/jobs.esa.int\/job\/Villanueva-de-la-Ca%C3%B1ada-Young-Graduate-Trainee-in-Planetary-Data-Processing-and-Data-Visualisation\/898324701\/\">https:\/\/jobs.esa.int\/job\/Villanueva-de-la-Ca%C3%B1ada-Young-Graduate-Trainee-in-Planetary-Data-Processing-and-Data-Visualisation\/898324701\/<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Page updated 18 May 2023 EnVision Job opportunities in ESA-ESTEC (deadline 25 May 2023) EnVision, an ESA-led mission in partnership with NASA, will be the first mission to investigate Venus from its inner core to its upper atmosphere, characterising the &hellip; <a href=\"https:\/\/sites.lesia.obspm.fr\/envision\/vacancies\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":59,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3603","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.lesia.obspm.fr\/envision\/wp-json\/wp\/v2\/pages\/3603","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.lesia.obspm.fr\/envision\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.lesia.obspm.fr\/envision\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.lesia.obspm.fr\/envision\/wp-json\/wp\/v2\/users\/59"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.lesia.obspm.fr\/envision\/wp-json\/wp\/v2\/comments?post=3603"}],"version-history":[{"count":13,"href":"https:\/\/sites.lesia.obspm.fr\/envision\/wp-json\/wp\/v2\/pages\/3603\/revisions"}],"predecessor-version":[{"id":3726,"href":"https:\/\/sites.lesia.obspm.fr\/envision\/wp-json\/wp\/v2\/pages\/3603\/revisions\/3726"}],"wp:attachment":[{"href":"https:\/\/sites.lesia.obspm.fr\/envision\/wp-json\/wp\/v2\/media?parent=3603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}