{"data":{"id":70272,"slug":"doktorand-i-kommunikations-och-berakningssystem","type":"job","title":"PhD Candidate in Communication and Computing Systems","description":"Are you ready to take the next step in your academic journey? As a PhD candidate with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and excellent funding opportunities. You are offered a secure employment, high-quality supervision, and room to grow, both as a researcher and as a person.\nLule\u00e5 University of Technology is in an expansive phase and is implementing an initiative to strengthen research and education in communication and computing systems, with a particular focus on algorithms, data structures, and advanced computational models. Communication and computing systems is a rapidly growing and evolving field that forms the foundation for today's and tomorrow's digital society. Developments in artificial intelligence, large-scale data management, and distributed systems place increasing demands on new ways to represent, process, and interpret information.\n \nTo meet these challenges, research and education are required that combine classical computational models with new approaches to computation and representation, particularly in high-dimensional and complex data environments. The initiative is directly related to the university's computer science environment and offers good synergy opportunities with research groups in, among others, artificial intelligence, machine learning, cyber-physical systems, and data-intensive applications. We therefore see a focus on research and development of new methods for representation, processing, and analysis of complex information as important. These methods range from basic research at the methodology level, such as algorithm development and models for efficient information representation, to applied research in collaboration with other groups.\n \nField Description\nThe field encompasses research related to integrated development and management of reliable network architectures, resource-efficient algorithms, and programming paradigms that work together to create reliability properties in selected applications.\n \nProject Description\nYou will work on an exciting research project whose overarching goal is to develop new algorithms for reasoning and hybrid AI systems. The project focuses on methods that combine data-driven models with symbolic, structured, or knowledge-based representations to create AI systems that are more robust, interpretable, and adaptable. In your work, you will conduct research on algorithms for representation, learning, and reasoning in modern AI systems. This includes developing methods for linking learned representations to concepts and relationships, integrating context into learning processes, and designing new forms of inductive bias that support generalization and explainability. The project may also include algorithms and models suitable for efficient implementation on resource-constrained platforms, such as edge devices and new AI-adapted computer architectures.\n \nResponsibilities\nAs a PhD candidate, you will have the following tasks: conduct research within the project area and participate in teaching activities. The position involves research within one of the most important subjects in computer science. As a PhD candidate, you will contribute to research and publishing activities and collaborate within the framework of the field's broad industrial and academic contact network through national and international collaborative projects.\n \nQualifications\nTo be eligible for employment as a PhD candidate, a Master's degree in Computer Science with a focus on Machine Learning and Artificial Intelligence or an equivalent foreign degree in the field is required.\n \nWe are looking for a person with the following qualifications:\n- Master's level knowledge in machine learning and artificial intelligence.\n- Strong programming skills (Python, Matlab, AI frameworks). Participation in programming competitions is definitely a merit.\n- Solid mathematics knowledge at university level (probability theory, statistics, calculus, geometry, Fourier transform). Skills should be supported by above-average grades and will be tested online before the interview.\n- Positive attitude and good communication skills\n \nInformation\nEmployment as a PhD candidate is limited to 4 years; teaching and other institutional service may be added up to 20% of full-time. Place of work: Lule\u00e5. Start date: By agreement.\n \nFor more information, please contact\nProfessor Evgeny Osipov, 0920-49 1578, mailto:Evgeny.Osipov@ltu.se\n \nTrade union representative:\nSACO-S Diana Chroneer, 0920-49 2037 mailto:diana.chroneer@ltu.se\nOFR-S Marika Vesterberg, 0920-49 1721 mailto:marika.vesterberg@ltu.se\n \nApplication\nWe prefer that you apply for the position via the application button below, where you attach a cover letter and CV\/list of qualifications and copies of verified certificates. Please mark your application with the reference number below. Both the application and certificates must be written in Swedish or English.\n \nDeadline for application: 2026-09-30\nReference number: 3191-2026","language":"sv","is_translated":true,"title_original":"Doktorand i kommunikations- och ber\u00e4kningssystem","description_original":"\u00c4r du redo att ta n\u00e4sta steg i din akademiska resa? Som doktorand hos oss f\u00e5r du arbeta n\u00e4ra ledande forskare i en stark och internationell forskningsmilj\u00f6, med tillg\u00e5ng till avancerad labbutrustning och goda finansieringsm\u00f6jligheter. Du erbjuds en trygg anst\u00e4llning, handledning av h\u00f6g kvalitet och utrymme att v\u00e4xa, b\u00e5de som forskare och som person.\nLule\u00e5 tekniska universitet \u00e4r i en expansiv fas och genomf\u00f6r en satsning f\u00f6r att st\u00e4rka forskning och utbildning inom kommunikations- och ber\u00e4kningssystem, med s\u00e4rskilt fokus p\u00e5 algoritmer, datastrukturer och avancerade ber\u00e4kningsmodeller. Kommunikations- och ber\u00e4kningssystem \u00e4r ett snabbt v\u00e4xande och f\u00f6r\u00e4nderligt omr\u00e5de som utg\u00f6r grunden f\u00f6r dagens och morgondagens digitala samh\u00e4lle. Utvecklingen inom artificiell intelligens, storskalig datahantering och distribuerade system st\u00e4ller \u00f6kade krav p\u00e5 nya s\u00e4tt att representera, bearbeta och tolka information.\n\u00a0\nF\u00f6r att m\u00f6ta dessa utmaningar kr\u00e4vs forskning och utbildning som f\u00f6renar klassiska ber\u00e4kningsmodeller med nya angreppss\u00e4tt f\u00f6r ber\u00e4kning och representation, s\u00e4rskilt i h\u00f6gdimensionella och komplexa datamilj\u00f6er. Satsningen \u00e4r direkt relaterad till universitetets datavetenskapliga milj\u00f6 och erbjuder goda synergim\u00f6jligheter med forskningsgrupper inom bland annat artificiell intelligens, maskininl\u00e4rning, cyberfysikaliska system och dataintensiva till\u00e4mpningar. Vi ser d\u00e4rf\u00f6r en inriktning mot forskning och utveckling av nya metoder f\u00f6r representation, bearbetning och analys av komplex information som viktig. Dessa metoder str\u00e4cker sig fr\u00e5n grundl\u00e4ggande forskning p\u00e5 metodniv\u00e5, till exempel algoritmutveckling och modeller f\u00f6r effektiv informationsrepresentation, till till\u00e4mpad forskning i samarbete med andra grupper.\n\u00a0\n\u00c4mnesbeskrivning\n\u00c4mnet omfattar forskning kopplat till integrerad utveckling och hantering av pa\u030alitliga na\u0308tverksarkitekturer, resurseffektiva algoritmer och programmeringsparadigmer som samverkar fo\u0308r att skapa pa\u030alitlighetsegenskaper i valda tilla\u0308mpningar.\n\u00a0\nProjektbeskrivning\nDu kommer att arbeta i ett sp\u00e4nnande forskningsprojekt vars \u00f6vergripande m\u00e5l \u00e4r att utveckla nya algoritmer f\u00f6r resonerande och hybrida AI-system. Projektet fokuserar p\u00e5 metoder som kombinerar datadrivna modeller med symboliska, strukturerade eller kunskapsbaserade representationer f\u00f6r att skapa AI-system som \u00e4r mer robusta, tolkbara och anpassningsbara. I arbetet kommer du att forska kring algoritmer f\u00f6r representation, inl\u00e4rning och resonemang i moderna AI-system. Detta inkluderar utveckling av metoder f\u00f6r att koppla inl\u00e4rda representationer till begrepp och relationer, integrera kontext i inl\u00e4rningsprocesser samt utforma nya former av induktiv bias som st\u00f6djer generalisering och f\u00f6rklarbarhet. Projektet kan \u00e4ven omfatta algoritmer och modeller som \u00e4r l\u00e4mpliga f\u00f6r effektiv implementering p\u00e5 resursbegr\u00e4nsade plattformar, exempelvis kantenheter och nya AI-anpassade datorarkitekturer.\n\u00a0\nArbetsuppgifter\nSom doktorand kommer du att ha f\u00f6ljande uppgifter, genomf\u00f6ra forskning inom omr\u00e5det f\u00f6r projektet och delta i undervisningsaktiviteter. Tj\u00e4nsten inneb\u00e4r forskning inom ett av de mest betydelsefulla \u00e4mnena inom datavetenskap. Som doktorand kommer du att bidra till forsknings- och publiceringsaktiviteter samt samarbeta inom ramen f\u00f6r \u00e4mnets breda industriella och akademiska kontaktn\u00e4t genom nationella och internationella samarbetsprojekt.\n\u00a0\nKvalifikationer\nF\u00f6r att vara beh\u00f6rig f\u00f6r anst\u00e4llning som doktorand kr\u00e4vs en magisterexamen i datavetenskap med inriktning p\u00e5 maskininl\u00e4rning och artificiell intelligens eller en motsvarande utl\u00e4ndsk examen inom \u00e4mnet.\n\u00a0\nVi s\u00f6ker en person med f\u00f6ljande kvalifikationer:\n- Kunskap p\u00e5 masterniv\u00e5 inom maskininl\u00e4rning och artificiell intelligens.\n- Starka programmeringsf\u00e4rdigheter (Python, Matlab, AI-ramverk). Deltagande i programmeringst\u00e4vlingar \u00e4r definitivt meriterande.\n- Gedigna matematikkunskaper p\u00e5 universitetsniv\u00e5 (sannolikhetsl\u00e4ra, statistik, kalkyl, geometri, Fourier-transform). F\u00e4rdigheterna b\u00f6r st\u00f6djas av \u00f6ver genomsnittliga betyg och kommer att testas online f\u00f6re intervjun.\n- Positiv attityd och goda kommunikationsf\u00e4rdigheter\n\u00a0\nInformation\nAnst\u00e4llning som doktorand \u00e4r tidsbegr\u00e4nsad p\u00e5 4 \u00e5r, undervisning och annan institutionstj\u00e4nstg\u00f6ring kan tillkomma upp till 20 % av heltid. Tj\u00e4nstg\u00f6ringsort Lule\u00e5. Tilltr\u00e4de: Enligt \u00f6verenskommelse.\n\u00a0\nF\u00f6r ytterligare information \u00e4r du v\u00e4lkommen att kontakta\nProfessor Evgeny Osipov, 0920-49 1578, mailto:Evgeny.Osipov@ltu.se\n\u00a0\nFacklig f\u00f6retr\u00e4dare:\nSACO-S Diana Chroneer, 0920-49 2037 mailto:diana.chroneer@ltu.se\nOFR-S Marika Vesterberg, 0920-49 1721 mailto:marika.vesterberg@ltu.se\n\u00a0\nAns\u00f6kan\nVi ser helst att du s\u00f6ker befattningen via ans\u00f6kningsknappen nedan d\u00e4r du bifogar personligt brev samt CV\/meritf\u00f6rteckning och kopior av verifierade examensbevis. Var v\u00e4nlig och m\u00e4rk din ans\u00f6kan med referensnumret nedan. B\u00e5de ans\u00f6kan och examensbevis ska vara skrivna p\u00e5 svenska eller engelska.\n\u00a0\nSista ans\u00f6kningsdag: 2026-09-30\nReferensnummer: 3191-2026","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"Lule\u00e5 tekniska universitet","full_address":null,"city":"Lule\u00e5","country":"SE","latitude":65.6152976,"longitude":22.0451587},"metadata":{"region":"Norrbottens l\u00e4n","duration":"6 m\u00e5nader eller l\u00e4ngre","employer":"Lule\u00e5 Tekniska Universitet","postcode":"97187","positions":1,"profession":"Doktorand","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/www.ltu.se\/","scope_of_work":"100\u2013100 %","working_hours":"Heltid","employment_type":"full_time","occupation_field":"Pedagogik","employer_workplace":"Lule\u00e5 tekniska universitet - Platsbanken","experience_required":true,"employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":7,"ai_views_count":15,"bot_views_count":2,"ai_vendor_counts":{"other":6,"openai":6,"anthropic":3},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":"0920-49 1578","owner_email":"evgeny.osipov@ltu.se","images":[],"published_at":"2026-05-18T12:49:40+00:00","expires_at":"2026-09-30T23:59:59+00:00","created_at":"2026-06-21T04:58:59+00:00","updated_at":"2026-09-15T13:15:50+00:00"}}