{"data":{"id":203341,"slug":"doktorand-i-medicinsk-vetenskap-ai-och-bioinformatik-vid-bkv","type":"job","title":"Doctoral Student in Medical Science, AI and Bioinformatics at BKV","description":"We have the strength of over 50,000 students and staff members. Students who give hope for the future. Staff members who every day contribute to Link\u00f6ping University tackling today's challenges. Our core values are based on credibility, trust and security. By being brave, thinking freely and doing new things, we create together, through great and small actions, a better future. Welcome to apply for a job with us!\nWe are now seeking a doctoral student in medical science, AI and bioinformatics.\nYour responsibilities\nThe project aims to develop AI-based foundation models for integrated analysis of single-cell and multi-omics data to better understand how molecular and cellular processes are coordinated between cells, tissues and organ systems in health and disease. You will be responsible for developing and applying advanced methods in AI and bioinformatics to large-scale single-cell and multi-omics data. The project will focus on integrating this data to study cellular and tissue-specific signaling, molecular communication and systemic molecular networks, as well as how these processes change between physiological and disease states. Through this work, you will develop predictive and biologically interpretable models that connect molecular patterns across multiple levels of human biology.\nThe project is at the intersection of artificial intelligence, computational biology, systems medicine and precision health and involves close collaboration with researchers in both computational and biomedical fields. Beyond the project's primary focus, you will have the opportunity to develop related research questions based on your own interests and new results that emerge during the project. You will thereby develop broad expertise in AI and multi-omics analysis and grow as an independent researcher for a future career in academia, biotechnology or data-driven precision medicine.\nAs a doctoral student, you dedicate yourself to your research training and research projects in which you are involved. Your work may also include teaching or participating in other institutional assignments, up to 20 percent of full-time.\nYour qualifications\nYou have completed a degree at advanced level in AI, bioinformatics, systems biology or a related field, or completed course requirements of at least 240 credits, of which at least 60 credits at advanced level. Alternatively, you have acquired knowledge equivalent in kind in another way.\nAdditionally required:\nStrong programming ability and strong quantitative skills, especially in Python and\/or R.\nExperience with deep learning, machine learning or analysis of large-scale omics data.\nHigh degree of motivation and independence, good problem-solving ability and ability to collaborate in an interdisciplinary research environment.\nAbility to communicate fluently in English, both orally and in writing.\n\nThe following qualifications are not a requirement but are particularly meritorious:\nExperience with foundation models, transformers, generative models or representation learning.\nExperience with analysis of large-scale single-cell omics data.\nExperience with integrative analysis of multi-omics data, such as genomics, proteomics or metabolomics.\nExperience with relevant machine learning frameworks, such as PyTorch, and high-performance computing environments (HPC).\nKnowledge in molecular and cell biology, systems biology or precision medicine.\n\nYour application must also include a research plan describing how your background, skills and research interests make you suitable for the project on AI foundation models for integrated single-cell and multi-omics analysis. Also briefly describe in the research plan a research question or research direction within AI, single-cell biology, multi-omics or systems medicine that you would be interested in exploring during your doctoral studies.\nYour workplace\nYou will be employed in the research group led by University Lecturer https:\/\/liu.se\/medarbetare\/wenzh16, fellow in the Swedish national program for https:\/\/www.scilifelab.se\/data-driven. The research group is located at https:\/\/liu.se\/organisation\/liu\/bkv\/cnb, https:\/\/liu.se\/organisation\/liu\/bkv, Link\u00f6ping University.\nThe research group focuses on integrative multi-omics, the interaction between genetic variation and human phenotypes and the development of AI-driven methods to better understand human biology and diseases and translate this knowledge into data-driven strategies for precision health.\nAbout the employment\nWhen you are admitted to doctoral training, your employment as a doctoral student will be processed. Read more about each faculty's doctoral training https:\/\/liu.se\/forskning\/forskarutbildning\nThe employment is time-limited to normally four years full-time. Extension of employment up to five years is based on the degree of teaching and institutional assignments. In special cases, further extension may occur. You will be employed initially for one year, and thereafter the employment is renewed for a maximum of two years at a time, based on the achieved study plan.\nStart date by agreement.\nSalary and benefits\nThe doctoral student salary is regulated according to a locally agreed salary scale. Read more about benefits for employees https:\/\/liu.se\/jobba-pa-liu\/formaner.\nTrade union contact persons\nInformation on trade union contact persons, see https:\/\/liu.se\/jobba-pa-liu\/hjalp-for-sokande.\nApplication\nYou apply for this position by clicking the \"Apply\" button below. Your application must be received by Link\u00f6ping University no later than 261030. Applications received after the final application deadline will not be considered.\nWe welcome applicants with different backgrounds, experiences and perspectives, which enriches and develops our activities. For us, it is self-evident to safeguard everyone's equal value, rights and opportunities. Read about our work with https:\/\/liu.se\/artikel\/lika-villkor\/.\nWe look forward to your application!\nLink\u00f6ping University has negotiated agreements and asks us to avoid direct contact from staffing and recruitment companies and sellers of job advertisements.","language":"sv","is_translated":true,"title_original":"Doktorand i medicinsk vetenskap, AI och bioinformatik vid BKV","description_original":"Vi har kraften fr\u00e5n \u00f6ver 50 000 studenter och medarbetare. Studenter som ger framtidshopp. Medarbetare som varje dag bidrar till att Link\u00f6pings universitet tar sig an samtidens utmaningar. V\u00e5r v\u00e4rdegrund vilar p\u00e5 trov\u00e4rdighet, tillit och trygghet. Genom att vara modiga, t\u00e4nka fritt och g\u00f6ra nytt skapar vi tillsammans, med stora och sm\u00e5 handlingar, en b\u00e4ttre framtid. V\u00e4lkommen att s\u00f6ka jobb hos oss!\nVi s\u00f6ker nu en doktorand inom medicinsk vetenskap, AI och bioinformatik.\nDina arbetsuppgifter\nProjektet syftar till att utveckla AI-baserade foundation models f\u00f6r integrerad analys av single-cell- och multi-omics-data f\u00f6r att b\u00e4ttre f\u00f6rst\u00e5 hur molekyl\u00e4ra och cellul\u00e4ra processer samordnas mellan celler, v\u00e4vnader och organsystem vid h\u00e4lsa och sjukdom. Du kommer att ansvara f\u00f6r att utveckla och till\u00e4mpa avancerade metoder inom AI och bioinformatik p\u00e5 storskaliga single-cell- och multi-omics-data. Projektet kommer att fokusera p\u00e5 att integrera dessa data f\u00f6r att studera cellul\u00e4r och v\u00e4vnadsspecifik signalering, molekyl\u00e4r kommunikation och systemiska molekyl\u00e4ra n\u00e4tverk, samt hur dessa processer f\u00f6r\u00e4ndras mellan fysiologiska tillst\u00e5nd och sjukdomstillst\u00e5nd. Genom detta arbete kommer du att utveckla prediktiva och biologiskt tolkbara modeller som kopplar samman molekyl\u00e4ra m\u00f6nster p\u00e5 flera niv\u00e5er av m\u00e4nniskans biologi.\nProjektet ligger i gr\u00e4nslandet mellan artificiell intelligens, ber\u00e4kningsbiologi, systemmedicin och precisionsh\u00e4lsa och inneb\u00e4r n\u00e4ra samarbete med forskare inom b\u00e5de ber\u00e4kningsvetenskapliga och biomedicinska omr\u00e5den. Ut\u00f6ver projektets huvudsakliga inriktning kommer du att f\u00e5 m\u00f6jlighet att utveckla relaterade forskningsfr\u00e5gor utifr\u00e5n dina egna intressen och nya resultat som framkommer under projektets g\u00e5ng. Du kommer d\u00e4rigenom att utveckla bred kompetens inom AI och multi-omics-analys samt v\u00e4xa som sj\u00e4lvst\u00e4ndig forskare inf\u00f6r en framtida karri\u00e4r inom akademi, bioteknik eller datadriven precisionsmedicin.\nSom doktorand \u00e4gnar du dig \u00e5t din forskarutbildning och forskningsprojekt d\u00e4r du ing\u00e5r. I ditt arbete kan \u00e4ven ing\u00e5 att undervisa eller att delta i andra institutionsuppdrag, upp till 20 procent av heltid.\nDina kvalifikationer\nDu har avlagt examen p\u00e5 avancerad niv\u00e5 inom AI, bioinformatik, systembiologi eller ett n\u00e4rliggande omr\u00e5de, eller fullgjort kursfordringar om minst 240 h\u00f6gskolepo\u00e4ng, varav minst 60 h\u00f6gskolepo\u00e4ng p\u00e5 avancerad niv\u00e5. Alternativt har du p\u00e5 annat s\u00e4tt f\u00f6rv\u00e4rvat i huvudsak motsvarande kunskaper.\nD\u00e4rut\u00f6ver kr\u00e4vs:\nGod programmeringsf\u00f6rm\u00e5ga och starka kvantitativa f\u00e4rdigheter, s\u00e4rskilt i Python och\/eller R.\nErfarenhet av deep learning, maskininl\u00e4rning eller analys av storskaliga omics-data.\nH\u00f6g grad av motivation och sj\u00e4lvst\u00e4ndighet, god probleml\u00f6sningsf\u00f6rm\u00e5ga samt f\u00f6rm\u00e5ga att samarbeta i en tv\u00e4rvetenskaplig forskningsmilj\u00f6.\nF\u00f6rm\u00e5ga att kommunicera obehindrat p\u00e5 engelska, b\u00e5de muntligt och skriftligt.\n\nF\u00f6ljande kvalifikationer \u00e4r inte ett krav men \u00e4r s\u00e4rskilt meriterande:\nErfarenhet av foundation models, transformers, generativa modeller eller representation learning.\nErfarenhet av analys av storskaliga single-cell-omics-data.\nErfarenhet av integrativ analys av multi-omics-data, exempelvis genomik, proteomik eller metabolomik.\nErfarenhet av relevanta ramverk f\u00f6r maskininl\u00e4rning, exempelvis PyTorch, samt h\u00f6gpresterande ber\u00e4kningsmilj\u00f6er (HPC).\nKunskap inom molekyl\u00e4r- och cellbiologi, systembiologi eller precisionsmedicin.\n\nTill ans\u00f6kan ska \u00e4ven bifogas en forskningsplan d\u00e4r du beskriver hur din bakgrund, dina f\u00e4rdigheter och dina forskningsintressen g\u00f6r dig l\u00e4mpad f\u00f6r projektet om AI foundation models f\u00f6r integrerad single-cell- och multi-omics-analys. Beskriv ocks\u00e5 i forskningsplanen kortfattat en forskningsfr\u00e5ga eller forskningsinriktning inom AI, single-cell-biologi, multi-omics eller systemmedicin som du skulle vara intresserad av att utforska under din doktorandutbildning.\nDin arbetsplats\nDu kommer att vara anst\u00e4lld i forskargruppen som leds av Universitetslektor https:\/\/liu.se\/medarbetare\/wenzh16, fellow inom det svenska nationella programmet f\u00f6r https:\/\/www.scilifelab.se\/data-driven. Forskargruppen \u00e4r placerad vid https:\/\/liu.se\/organisation\/liu\/bkv\/cnb, https:\/\/liu.se\/organisation\/liu\/bkv, Link\u00f6pings universitet.\nForskargruppen fokuserar p\u00e5 integrativ multi-omics, samspelet mellan genetisk variation och m\u00e4nskliga fenotyper samt utveckling av AI-drivna metoder f\u00f6r att b\u00e4ttre f\u00f6rst\u00e5 m\u00e4nniskans biologi och sjukdomar och oms\u00e4tta dessa kunskaper i datadrivna strategier f\u00f6r precisionsh\u00e4lsa.\nOm anst\u00e4llningen\nI samband med att du antas till forskarutbildningen handl\u00e4ggs din anst\u00e4llning som doktorand. L\u00e4s mer om respektive fakultets forskarutbildning https:\/\/liu.se\/forskning\/forskarutbildning\nAnst\u00e4llningen \u00e4r tidsbegr\u00e4nsad till normalt fyra \u00e5r heltid. F\u00f6rl\u00e4ngning av anst\u00e4llning upp till fem \u00e5r sker utifr\u00e5n grad av undervisnings- och institutionsuppdrag. Vid s\u00e4rskilda sk\u00e4l kan ytterligare f\u00f6rl\u00e4ngning ske. Du anst\u00e4lls till en b\u00f6rjan p\u00e5 ett \u00e5r, och d\u00e4refter f\u00f6rnyas anst\u00e4llningen med h\u00f6gst tv\u00e5 \u00e5r i taget, utifr\u00e5n uppn\u00e5dd studieplan.\nTilltr\u00e4de enligt \u00f6verenskommelse.\nL\u00f6n och f\u00f6rm\u00e5ner\nDoktorandl\u00f6nen regleras utifr\u00e5n en lokalt avtalad l\u00f6nestege. L\u00e4s mer om f\u00f6rm\u00e5ner f\u00f6r anst\u00e4llda https:\/\/liu.se\/jobba-pa-liu\/formaner.\nFackliga kontaktpersoner\nInformation om fackliga kontaktpersoner, se https:\/\/liu.se\/jobba-pa-liu\/hjalp-for-sokande.\nAns\u00f6kan\nDu s\u00f6ker denna anst\u00e4llning genom att klicka p\u00e5 knappen \"Ans\u00f6k\" nedan. Din ans\u00f6kan ska vara Link\u00f6pings universitet tillhanda senast 261030. Ans\u00f6kan som inkommer efter sista ans\u00f6kningsdag beaktas inte.\nVi v\u00e4lkomnar s\u00f6kande med olika bakgrund, erfarenheter och perspektiv, det berikar och utvecklar v\u00e5r verksamhet. F\u00f6r oss \u00e4r det sj\u00e4lvklart att v\u00e4rna om allas lika v\u00e4rde, r\u00e4ttigheter och m\u00f6jligheter. L\u00e4s om v\u00e5rt arbete med https:\/\/liu.se\/artikel\/lika-villkor\/.\nV\u00e4lkommen med din ans\u00f6kan!\nLink\u00f6pings universitet har upphandlade avtal och undanber oss direktkontakt fr\u00e5n bemannings- och rekryteringsf\u00f6retag samt f\u00f6rs\u00e4ljare av platsannonser.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":null,"full_address":null,"city":"Link\u00f6ping","country":"SE","latitude":58.4200361,"longitude":15.6226866},"metadata":{"region":"\u00d6sterg\u00f6tlands l\u00e4n","duration":"6 m\u00e5nader eller l\u00e4ngre","employer":"Link\u00f6pings Universitet","postcode":"58183","positions":1,"profession":"Doktorand","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/liu.se\/","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"Wen Zhong","employment_type":"full_time","occupation_field":"Pedagogik","employer_workplace":"Link\u00f6pings Universitet","experience_required":true,"employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":1,"ai_views_count":6,"bot_views_count":4,"ai_vendor_counts":{"meta":2,"openai":1,"anthropic":3},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"wen.zhong@liu.se","images":[],"published_at":"2026-09-09T14:50:25+00:00","expires_at":"2026-10-30T23:59:59+00:00","created_at":"2026-09-10T04:05:22+00:00","updated_at":"2026-09-17T02:57:57+00:00"}}