{"id":158382,"date":"2025-03-24T03:00:36","date_gmt":"2025-03-24T02:00:36","guid":{"rendered":"https:\/\/www.cde.ual.es\/?p=158382"},"modified":"2025-04-03T12:11:48","modified_gmt":"2025-04-03T10:11:48","slug":"phd-candidate-in-cs-is-engineering-on-llms-luxembourg","status":"publish","type":"post","link":"https:\/\/www.cde.ual.es\/en\/phd-candidate-in-cs-is-engineering-on-llms-luxembourg\/","title":{"rendered":"PhD &#8211; Candidate in CS\/IS Engineering on LLMs &#8211; Luxembourg"},"content":{"rendered":"<p style=\"text-align: justify;\"><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/www.cde.ual.es\/wp-content\/uploads\/2025\/01\/pexels-divinetechygirl-1181316-scaled.jpg\" width=\"424\" height=\"283\" \/><\/p>\n<p style=\"text-align: justify;\"><strong>Job description<\/strong><\/p>\n<p style=\"text-align: justify;\">The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of emerging technologies like DLT\/Blockchain, GenAI, Natural Language Processing, Machine Learning, Human-Computer Interaction, and IoT\/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., policy, business, technology), united in pursuit of sustainable technologies that positively impact society.<\/p>\n<p style=\"text-align: justify;\">The successful candidate will pursue a Ph.D. degree (Doctorate) in computer science \/ information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a chatbot, to access and control automation tools safely. In particular, architectures enabling the communication between LLMs and task automation tools as well as corresponding security and business implications will be investigated.<\/p>\n<p style=\"text-align: justify;\">The candidate will perform the following tasks:<\/p>\n<ul style=\"text-align: justify;\">\n<li>Carry out research in fields of interest to the research group, such as:\n<ul>\n<li>Deploying and benchmarking state-of-the-art LLMs with respect to cost, performance, and data protection<\/li>\n<li>Developing and deploying LLM based architectures for task automation<\/li>\n<li>Investigating the performance of hybrid LLMs &#8211; knowledge-based approaches for task automation<\/li>\n<li>Using Design Science Research (DSR) methodology, collaborate with our industry partner to gather requirements for task automation, evaluating the potential of hybrid LLMs to effectively address these needs and optimize workflows.<\/li>\n<li>Investigation of state-of-the-art methods from explainable AI and adaptation of suitable methods for task automation<\/li>\n<\/ul>\n<\/li>\n<li>Disseminate results through scientific publications in outlets on the intersection between information systems and computer science<\/li>\n<li>Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant projects<\/li>\n<li>Conduct research projects and create project deliverables<\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><strong>Requirements<\/strong><\/p>\n<ul style=\"text-align: justify;\">\n<li>Master&#8217;s degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Information Systems (Engineering), or related fields with an AI background<\/li>\n<li>Strong programming skills in at least one major programming language<\/li>\n<li>Interest in cloud-based architectures<\/li>\n<li>Familiarity with relevant LLMs and interest in semantic\/cognitive search are beneficial<\/li>\n<li>A collaborative team player with a desire to make a personal impact within our interdisciplinary research group<\/li>\n<li>The commitment to participate in the design and implementation of high-quality solutions that solve significant problems<\/li>\n<li>Self-initiative, creativity, curiosity, flexibility and enthusiasm to work<\/li>\n<li>The position requires English-language proficiency for both written and verbal communication. Knowledge of French, German and\/or Luxembourgish is not required<\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><strong>Benefits<\/strong><\/p>\n<p style=\"text-align: justify;\">Yearly gross salary for every PhD at the UL: EUR 40952 (full time).<\/p>\n<div class=\"yarpp yarpp-related yarpp-related-website yarpp-template-thumbnails\">\n<p style=\"text-align: justify;\"><strong>Organization\/Company<\/strong> \u2013 University of Luxembourg<\/p>\n<p style=\"text-align: justify;\"><strong>Research Field<\/strong> \u2013 Educational sciences \u00bb Education<\/p>\n<p style=\"text-align: justify;\"><strong>Research Profile<\/strong>\u00a0\u2013 First Stage Researcher (R1)<\/p>\n<div style=\"text-align: justify;\"><strong>Country<\/strong> \u2013 Luxembourg<\/div>\n<div style=\"text-align: justify;\"><strong>Application Deadline<\/strong> \u2013 17 Mar 2026 &#8211; 02:54 (UTC)<\/div>\n<div style=\"text-align: justify;\"><\/div>\n<div style=\"text-align: justify;\"><strong>More information:\u00a0<a href=\"https:\/\/euraxess.ec.europa.eu\/jobs\/326480\">Euraxess<\/a><\/strong><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Job description The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of emerging technologies like DLT\/Blockchain, GenAI, Natural Language Processing, Machine Learning, Human-Computer Interaction, and IoT\/5G on organisations from both the [&hellip;]<\/p>\n","protected":false},"author":101012,"featured_media":156064,"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":[719,14178,848,1217,1085,460],"class_list":{"0":"post-158382","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-engineering","11":"tag-eu-calls","12":"tag-euraxess-en","13":"tag-europe","14":"tag-luxembourg","15":"tag-phd","16":"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 - Candidate in CS\/IS Engineering on LLMs - Luxembourg | 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\/en\/phd-candidate-in-cs-is-engineering-on-llms-luxembourg\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhD - Candidate in CS\/IS Engineering on LLMs - Luxembourg | CDE Almer\u00eda - Centro de Documentaci\u00f3n Europea - Universidad de Almer\u00eda\" \/>\n<meta property=\"og:description\" content=\"Job description The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. 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