{"id":163643,"date":"2025-11-26T03:00:27","date_gmt":"2025-11-26T02:00:27","guid":{"rendered":"https:\/\/www.cde.ual.es\/?p=163643"},"modified":"2025-11-25T14:06:01","modified_gmt":"2025-11-25T13:06:01","slug":"phd-ai-driven-software-instrumentation-austria","status":"publish","type":"post","link":"https:\/\/www.cde.ual.es\/en\/phd-ai-driven-software-instrumentation-austria\/","title":{"rendered":"PhD \u2013 AI-driven Software Instrumentation \u2013 Austria"},"content":{"rendered":"<p><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/www.cde.ual.es\/wp-content\/uploads\/2025\/03\/ai-cloud-concept-with-robot-arms-scaled.jpg\" width=\"590\" height=\"443\" \/><\/p>\n<p><strong>Job profile:<\/strong><\/p>\n<p>Under the guidance of the Area Management, the candidate will be deployed in the entire portfolio of application-oriented research activities within the InstrumentAI project, conducted in collaboration with industry. The position focuses on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in software engineering, data analytics, and machine learning, the candidate will support the research team in designing, implementing, and evaluating prototype solutions that identify instrumentation points and generate and extend instrumentation code and tests. Within the scope of the project, the candidate is also expected to pursue a PhD under the supervision of Univ.-Prof. Dr. Alexander Egyed and a. Univ.-Prof. Dr. Paul Gr\u00fcnbacher at the Johannes Kepler University Linz (JKU).<\/p>\n<p><strong>Project context:<\/strong><\/p>\n<p>The project InstrumentAI, conducted in collaboration with industry, addresses the growing challenge of maintaining application observability in today\u2019s rapidly evolving software landscape. As new technologies, frameworks, and libraries emerge at an accelerating pace, each requires precise and efficient instrumentation to ensure effective performance monitoring. The goal of InstrumentAI is to develop AI-supported methods that streamline and accelerate the instrumentation process for both entirely new technologies and extensions of existing ones. The project focuses on identifying relevant instrumentation points in new or evolving technologies and generating or extending instrumentation code and corresponding tests in a partially automated process under human supervision. The expected outcome is a prototype pipeline that supports the complete instrumentation workflow, from detection and code generation to automated testing, along with AI-driven tools that demonstrate the feasibility and practical applicability of the approach in real-world software environments.<\/p>\n<div class=\"ecl-u-type-bold ecl-u-mb-m\"><strong>Skills\/Qualifications:<\/strong><\/div>\n<div class=\"ecl\">\n<ul>\n<li>University degree in computer science, computer engineering, or similar<\/li>\n<li>Experience and practical knowledge of programming languages and tools (e.g. Python, Java, etc.)<\/li>\n<li>Knowledge in Software Engineering, AI, machine learning is an advantage<\/li>\n<li>Experience with software observability or instrumentation is highly valued<\/li>\n<li>High affinity for applied research, interest in shaping future technologies<\/li>\n<li>Independent and reliable way of working, enjoy working in a team<\/li>\n<li>Fluent in English and\/or German<\/li>\n<li>Willingness to travel between the Pro2Future GmbH locations<\/li>\n<li>Flexibility, willingness to learn, openness and commitment<\/li>\n<\/ul>\n<div class=\"ecl-u-type-bold ecl-u-mb-m\"><strong>Benefits:<\/strong><\/div>\n<div class=\"ecl\">\n<ul>\n<li>The opportunity to work in a highly qualified, international, young, and dynamic research team<\/li>\n<li>Collaboration in innovative, beyond-state-of-the-art research projects<\/li>\n<li>Opportunity for personnel development in a learning and respectful environment<\/li>\n<li>Great emphasis on gender, diversity, and equal opportunities<\/li>\n<li>Flexible working hours, flat organizational structures, fun at work<\/li>\n<li>Full-time gross salary per month EUR 3,700.00<\/li>\n<\/ul>\n<p><b>Organisation\/Company<\/b> \u2013 Pro2Future GmbH.<\/p>\n<p><b>Field of research<\/b> \u2013 Computer science, Engineering, Computer engineering.<\/p>\n<p><b>Research profile<\/b>\u00a0\u2013 First Stage Researcher (R1).<\/p>\n<p><b>Country<\/b> \u2013 Austria.<\/p>\n<p><b>Application deadline<\/b> \u2013 31 Jan 2026 &#8211; 10:00 (Europe\/Vienna).<\/p>\n<p><strong>More information:\u00a0<a href=\"https:\/\/euraxess.ec.europa.eu\/jobs\/390246\">Euraxess<\/a><\/strong><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Job profile: Under the guidance of the Area Management, the candidate will be deployed in the entire portfolio of application-oriented research activities within the InstrumentAI project, conducted in collaboration with industry. The position focuses on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":157996,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[4048,366,4043],"tags":[965,876,1698,920,719,779,15907,848,460,1952],"class_list":{"0":"post-163643","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-engineering-architecture","8":"category-eu-calls-and-awards","9":"category-euraxess-en","10":"tag-ai","11":"tag-austria","12":"tag-computer-engineering","13":"tag-computer-science","14":"tag-engineering","15":"tag-eu-en","16":"tag-eucalls","17":"tag-euraxess-en","18":"tag-phd","19":"tag-software","20":"entry"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PhD \u2013 AI-driven Software Instrumentation \u2013 Austria | CDE Almer\u00eda - Centro de Documentaci\u00f3n Europea - Universidad de Almer\u00eda<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cde.ual.es\/phd-ai-driven-software-instrumentation-austria\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhD \u2013 AI-driven Software Instrumentation \u2013 Austria | CDE Almer\u00eda - Centro de Documentaci\u00f3n Europea - Universidad de Almer\u00eda\" \/>\n<meta property=\"og:description\" content=\"Job profile: Under the guidance of the Area Management, the candidate will be deployed in the entire portfolio of application-oriented research activities within the InstrumentAI project, conducted in collaboration with industry. The position focuses on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. 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