{"id":3033,"date":"2025-10-01T13:38:45","date_gmt":"2025-10-01T10:38:45","guid":{"rendered":"https:\/\/astrobeam.gr\/?p=3033"},"modified":"2025-10-01T13:43:32","modified_gmt":"2025-10-01T10:43:32","slug":"data-reduction-pipeline-scientist","status":"publish","type":"post","link":"https:\/\/astrobeam.gr\/en\/data-reduction-pipeline-scientist\/","title":{"rendered":"Data Reduction &amp; Pipeline Scientist"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"3033\" class=\"elementor elementor-3033\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a61824e e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"a61824e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bc4dd8f elementor-widget elementor-widget-spacer\" data-id=\"bc4dd8f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89389ec elementor-widget elementor-widget-heading\" data-id=\"89389ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Data Reduction &amp; Pipeline Scientist<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-680155d e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-child\" data-id=\"680155d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cb05011 elementor-widget elementor-widget-text-editor\" data-id=\"cb05011\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Position description<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f155676 elementor-widget elementor-widget-text-editor\" data-id=\"f155676\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The Data Pipeline Scientist develops data processing systems that transform raw signals from the<br \/>radio telescope into scientific results. They apply data correction and calibration algorithms, assess<br \/>data quality, and write scientific reports with their findings.<br \/>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9c1e40 elementor-widget elementor-widget-text-editor\" data-id=\"b9c1e40\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Responsibilities<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a1ebed0 elementor-widget elementor-widget-text-editor\" data-id=\"a1ebed0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>Designing and developing pipelines in collaboration with the Software subteam in order\nto process data from the SDR<\/li><li>Applying corrections, calibration and noise reduction algorithms to observational data<\/li><li>Analysing data products (e.g. H I spectra) to extract results<\/li><li>Visualising spectra for analysis<\/li><li>Assessing data quality by identifying (potential) problems in the observation process<\/li><li>Writing scientific reports on methodology and results (e.g. using Overleaf)<\/li><li>Working closely with the Software subteam<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e30736b elementor-widget elementor-widget-text-editor\" data-id=\"e30736b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: left;\"><strong>Recommended Skills:<\/strong> Python (specifically libraries such as NumPy, SciPy, Pandas, Matplotlib,<br \/>etc.), digital signal processing (optional), statistics, GNU Radio, GitHub, knowledge of FITS<br \/>(optional), basic Astronomy\/Astrophysics knowledge<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eac0f2a elementor-widget elementor-widget-text-editor\" data-id=\"eac0f2a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"OYPEnA text-decoration-none text-strikethrough-none\"><b>Skills You Will Develop<\/b><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6502a05 elementor-widget elementor-widget-text-editor\" data-id=\"6502a05\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>You will learn to develop data pipelines and process scientific data<\/li><li>You will learn to apply signal processing techniques and statistical analysis<\/li><li>You will learn to code in Python<\/li><li>You will gain experience in visualising scientific data<\/li><li>You will become familiar with writing scientific reports in LaTeX<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ce554d1 wpr-button-icon-style-inline wpr-button-icon-position-right elementor-widget elementor-widget-wpr-button\" data-id=\"ce554d1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wpr-button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\n\t\t\t\n\t\t\n\t\t<div class=\"wpr-button-wrap elementor-clearfix\">\n\t\t<a class=\"wpr-button wpr-button-effect wpr-button-none\" data-text=\"Go\" href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLScxr-bqRW6b2s3XVziu8aAE8in1felVCWvIJMUzfMwS34BsrQ\/viewform\" target=\"_blank\">\n\t\t\t\n\t\t\t<span class=\"wpr-button-content\">\n\t\t\t\t\t\t\t\t\t<span class=\"wpr-button-text\">\u039a\u03ac\u03bd\u03b5 \u03b1\u03af\u03c4\u03b7\u03c3\u03b7<\/span>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t<span class=\"wpr-button-icon\"><svg class=\"e-font-icon-svg e-fas-angle-right\" viewbox=\"0 0 256 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M224.3 273l-136 136c-9.4 9.4-24.6 9.4-33.9 0l-22.6-22.6c-9.4-9.4-9.4-24.6 0-33.9l96.4-96.4-96.4-96.4c-9.4-9.4-9.4-24.6 0-33.9L54.3 103c9.4-9.4 24.6-9.4 33.9 0l136 136c9.5 9.4 9.5 24.6.1 34z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\n\t\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Data Reduction &amp; Pipeline Scientist \u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u0398\u03ad\u03c3\u03b7\u03c2 \u039f\/\u0397 Data Pipeline Scientist \u03b1\u03bd\u03b1\u03c0\u03c4\u03cd\u03c3\u03c3\u03b5\u03b9 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bdraw \u03c3\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c1\u03b1\u03b4\u03b9\u03bf\u03c4\u03b7\u03bb\u03b5\u03c3\u03ba\u03cc\u03c0\u03b9\u03bf \u03c3\u03b5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1. \u0395\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 data correction algorithms\u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2, \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2\u03bc\u03b5 \u03c4\u03b1 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c5\u03c4\u03ce\u03bd. \u039a\u03cd\u03c1\u03b9\u03b5\u03c2 \u0391\u03c1\u03bc\u03bf\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03a3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 pipelines \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03bf\u03bc\u03ac\u03b4\u03b1 \u03c4\u03bf\u03c5 Software \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf SDR \u0395\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03c9\u03bd, \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03c9\u03bd \u03bc\u03b5\u03af\u03c9\u03c3\u03b7\u03c2 \u03b8\u03bf\u03c1\u03cd\u03b2\u03bf\u03c5 \u03c3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u0391\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c4\u03c9\u03bd data products (\u03c0.\u03c7. \u03c6\u03ac\u03c3\u03bc\u03b1\u03c4\u03b1 H I) \u03b3\u03b9\u03b1 \u03b5\u03be\u03b1\u03b3\u03c9\u03b3\u03ae \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd \u039f\u03c0\u03c4\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c6\u03b1\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd \u03b3\u03b9\u03b1 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u0391\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03bc\u03b5 \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03cc (\u03c0\u03b9\u03b8\u03b1\u03bd\u03ce\u03bd) \u03c0\u03c1\u03bf\u03b2\u03bb\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2 \u03a3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ce\u03bd \u03b3\u03b9\u03b1 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 (\u03c0.\u03c7. \u03bc\u03b5 Overleaf) \u03a3\u03c4\u03b5\u03bd\u03ae \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03bf\u03bc\u03ac\u03b4\u03b1 \u03c4\u03bf\u03c5 Software \u03a0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b4\u03b5\u03be\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2: Python (\u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03b2\u03b9\u03b2\u03bb\u03b9\u03bf\u03b8\u03ae\u03ba\u03b5\u03c2 \u03cc\u03c0\u03c9\u03c2 NumPy, SciPy, Pandas,Matplotlib \u03ba\u03c4\u03bb.), \u03c8\u03b7\u03c6\u03b9\u03b1\u03ba\u03ae \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 (\u03c0\u03c1\u03bf\u03b1\u03b9\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc), \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae, GNU Radio, GitHub,\u03b3\u03bd\u03ce\u03c3\u03b7 FITS (\u03c0\u03c1\u03bf\u03b1\u03b9\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc), \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03b3\u03bd\u03ce\u03c3\u03b5\u03b9\u03c2 \u0391\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1\u03c2\/\u0391\u03c3\u03c4\u03c1\u03bf\u03c6\u03c5\u03c3\u03b9\u03ba\u03ae\u03c2 \u0394\u03b5\u03be\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03b1\u03bd\u03b1\u03c0\u03c4\u03cd\u03be\u03b5\u03b9\u03c2 \u0398\u03b1 \u03bc\u03ac\u03b8\u03b5\u03b9\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03c4\u03cd\u03c3\u03c3\u03b5\u03b9\u03c2 data pipelines \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c3\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u0398\u03b1 \u03bc\u03ac\u03b8\u03b5\u03b9\u03c2 \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03c3\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7\u03c2 \u0398\u03b1 \u03bc\u03ac\u03b8\u03b5\u03b9\u03c2 \u03bd\u03b1 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