{"data":{"id":219339,"slug":"doktorand-i-datavetenskap-med-fokus-pa-ai-engineering","type":"job","title":"PhD Student in Computer Science with Focus on AI Engineering","description":"Lund University was founded in 1666 and is consistently ranked as one of the world's leading academic institutions. With approximately 46,000 students and 8,500 employees in Lund, Helsingborg, and Malm\u00f6, we are united in our mission to understand, explain, and improve our world and people's conditions.\nDescription of the Position\nThe PhD student will be employed at the Department of Computer Science, where research on the development of large-scale software-intensive systems is conducted within the Software Engineering unit. The unit is world-leading in empirical software engineering. Beyond conventional software, the field includes development and operation of AI systems (primarily ML and LLM), as well as MLOps (Machine Learning Operations), data-centric AI, and legal and ethical aspects of AI.\nEmpirical research catalyzes collaboration between industry and academia and interdisciplinary initiatives, where the PhD student can conduct their studies. This position is specifically funded within ELLIIT's strategic research area (Excellence Center at Link\u00f6ping \u2013 Lund in Information Technology), where another PhD student will address the same topic from a business perspective. The PhD student will also be affiliated with the industrial competence center NextG2Com, within the research theme Integrated Data Technology and Machine Learning.\nMore about ELLIIT and the project\nMore about NextG2Com\nBeing a PhD Student\nAs a PhD student, you are both admitted as a student and employed at Lund University.\nAs a doctoral researcher, you will be trained in a scientific approach. In brief, you will develop critical and analytical thinking skills, learn to solve problems independently using appropriate methodologies, and gain research ethics awareness. Additionally, as a PhD student, you will have opportunities to work on projects, develop your leadership skills, and enhance your pedagogical abilities. Throughout your studies, you will be guided by supervisors. Doctoral studies conclude with a dissertation and a doctoral degree.\nMore about being a PhD student at LTH on lth.se.\nSubject and Project Description\nThe doctoral research subject is computer science with a focus on AI engineering, i.e., development and operation of systems containing AI-based functions (LLM or ML). Application areas range from agentic software development to industrial control systems. More specifically, the research addresses the question of using general versus specialized models (e.g., for specific tasks, companies, countries, or domains). From a technical perspective, there are numerous factors to consider within the generalization-specialization spectrum, including model performance, energy consumption, access to training data, and data integrity. The project aims to address AI engineering in business-to-business (B2B) contexts across various industries, as well as open-source AI models. We conduct empirical studies of industrial practices for deep problem understanding. The project aims to design solutions for technical specialization and governance of AI model ecosystems. In particular, trade-offs between model size, data requirements, computational costs, privacy, and confidentiality will be addressed.\nResponsibilities\nYou will primarily focus on your doctoral research, which includes participation in research projects, doctoral courses, seminars, and conferences. Since the project is conducted within the ELLIIT and NextG2Com research programs, you will collaborate with corresponding academic and industrial partners.\nResponsibilities include:\nResearch within the project's scope\nCollaboration with ELLIIT and NextG2Com partners\nParticipation in international research conferences\nCompletion of doctoral-level courses\nContribution to teaching and other departmental work (maximum 20% of working time).\nQualifications\nTo be admitted and employed as a PhD student, you must meet the requirements below.\nFor the complete job announcement, please see: https:\/\/lu.varbi.com\/what:job\/jobID:968464\/\nWe welcome your application!","language":"sv","is_translated":true,"title_original":"Doktorand i datavetenskap med fokus p\u00e5 AI engineering","description_original":"Lunds universitet grundades 1666 och rankas \u00e5terkommande som ett av v\u00e4rldens fr\u00e4msta l\u00e4ros\u00e4ten. H\u00e4r finns omkring 46 000 studenter och 8 500 medarbetare i Lund, Helsingborg och Malm\u00f6. Vi f\u00f6renas i v\u00e5r str\u00e4van att f\u00f6rst\u00e5, f\u00f6rklara och f\u00f6rb\u00e4ttra v\u00e5r v\u00e4rld och m\u00e4nniskors villkor.\nBeskrivning av verksamheten\nDoktoranden kommer att anst\u00e4llas vid institutionen f\u00f6r datavetenskap, d\u00e4r forskning om utveckling av storskaliga programvaruintensiva system bedrivs inom enheten f\u00f6r Software Engineering. Enheten \u00e4r v\u00e4rldsledande inom empirisk software engineering. F\u00f6rutom konventionell programvara inkluderar \u00e4mnet utveckling och drift av AI-system (fr\u00e4mst ML och LLM), och d\u00e4rmed MLOps (Machine Learning Operations), datacentrisk AI, samt juridiska och etiska aspekter av AI.\nDen empiriska forskningen katalyserar samarbete mellan industri och akademi och tv\u00e4rvetenskapliga initiativ, d\u00e4r doktoranden kan genomf\u00f6ra sina studier. Denna tj\u00e4nst \u00e4r s\u00e4rskilt finansierad inom ELLIIT:s strategiska forskningsomr\u00e5de (Excellence Center at Link\u00f6ping \u2013 Lund in Information Technology) d\u00e4r en annan doktorand kommer att behandla samma \u00e4mne ur ett aff\u00e4rsperspektiv. Doktoranden kommer ocks\u00e5 att vara knuten till det industriella kompetenscentret NextG2Com, inom forskningstemat Integrerad datateknik och maskininl\u00e4rning.\nMer om ELLIIT och projektet\nMer om NextG2Com\nAtt vara doktorand\nSom doktorand \u00e4r du b\u00e5de antagen som student och anst\u00e4lld vid Lunds universitet.\nSom forskarstuderande tr\u00e4nas du i ett vetenskapligt f\u00f6rh\u00e5llningss\u00e4tt. Det kan kort beskrivas som att du f\u00e5r \u00f6vning i att t\u00e4nka kritiskt och analytiskt, att du f\u00e5r l\u00f6sa problem sj\u00e4lvst\u00e4ndigt med hj\u00e4lp av r\u00e4tt metodval och du f\u00e5r en forskningsetisk medvetenhet. Dessutom ges m\u00f6jlighet f\u00f6r dig som doktorand att arbeta med projekt, att utveckla dina ledaregenskaper och din pedagogiska f\u00f6rm\u00e5ga. Under hela din studietid guidas du av handledare. Forskarstudierna avslutas med en avhandling och doktorsexamen.\nMer om att vara doktorand vid LTH p\u00e5 lth.se.\n\u00c4mnes- och projektbeskrivning\nForskarutbildnings\u00e4mnet \u00e4r datavetenskap med inriktning mot AI engineering, dvs. utveckling och drift av system som inneh\u00e5ller AI-baserade funktioner funktioner (LLM eller ML). Till\u00e4mpningsomr\u00e5den str\u00e4cker sig fr\u00e5n agentisk mjukvaruutveckling till industriella styrsystem. Mer specifikt behandlas fr\u00e5gan om att anv\u00e4nda generella kontra specialiserade modeller (t.ex. f\u00f6r specifika uppgifter, f\u00f6retag, l\u00e4nder eller dom\u00e4ner). Ur ett tekniskt perspektiv finns det en m\u00e4ngd faktorer att ta st\u00e4llning till inom spektrumet generalisering-specialisering, inklusive modellprestanda, energif\u00f6rbrukning, tillg\u00e5ng till tr\u00e4ningsdata och dataintegritet. Projektet syftar till att behandla AI engineering i business-to-business (B2B)-sammanhang inom olika branscher, s\u00e5v\u00e4l som AI-modeller med \u00f6ppen k\u00e4llkod. Vi utf\u00f6r empiriska studier av industriell praxis f\u00f6r en djupg\u00e5ende problemf\u00f6rst\u00e5else. Projektet syftar till att utforma l\u00f6sningar f\u00f6r teknisk specialisering och styrning av ekosystem f\u00f6r AI-modeller. I synnerhet kommer avv\u00e4gningar mellan modellstorlek, databehov, ber\u00e4kningskostnader, integritet och sekretess att behandlas.\nArbetsuppgifter\nDu kommer framf\u00f6rallt att \u00e4gna dig \u00e5t din forskarutbildning, vilket innefattar s\u00e5v\u00e4l deltagande i forskningsprojekt som forskarutbildningskurser, seminarier och konferenser. Eftersom projektet genomf\u00f6rs inom ramen f\u00f6r forskningsprogrammen ELLIIT och NextG2Com kommer du att samverka med motsvarande akademiska och industriella partners.\nArbetsuppgifterna innefattar:\nForskning inom projektets \u00e4mnesramar\nSamverkan med partners i ELLIIT och NextG2Com\nDeltagande i internationella forskningskonferenser\nGenomf\u00f6rande av kurser p\u00e5 forskarniv\u00e5\nMedverkan i undervisning och annat institutionsarbete (dock max 20 % av arbetstiden).\n\nKvalifikationer\nF\u00f6r att kunna antas och anst\u00e4llas som doktorand beh\u00f6ver du uppfylla kraven nedan.\nF\u00f6r annonsen i sin helhet, v\u00e4nligen se: https:\/\/lu.varbi.com\/what:job\/jobID:968464\/\nV\u00e4lkommen med din ans\u00f6kan!","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"Box 118","full_address":null,"city":"Lund","country":"SE","latitude":55.7205201,"longitude":13.1642678},"metadata":{"region":"Sk\u00e5ne l\u00e4n","duration":"6 m\u00e5nader eller l\u00e4ngre","employer":"Lunds Universitet","postcode":"22100","positions":1,"profession":"Doktorand","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/www.lu.se\/vacancies","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"SACO:Saco-s-r\u00e5det vid Lunds universitet","employment_type":"full_time","occupation_field":"Pedagogik","employer_workplace":"Lunds universitet, LTH, Institutionen f\u00f6r datavetenskap","employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":3,"bot_views_count":3,"ai_vendor_counts":{"anthropic":3},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"kansli@saco-s.lu.se","images":[],"published_at":"2026-09-17T13:21:50+00:00","expires_at":"2026-10-08T23:59:59+00:00","created_at":"2026-09-18T04:14:47+00:00","updated_at":"2026-09-19T11:22:13+00:00"}}