{"data":{"id":148289,"slug":"postdoktor-inom-maskininlarning-och-ljudanalys","type":"job","title":"Postdoctoral Researcher in Machine Learning and Audio Analysis","description":"We have the strength of more than 50,000 students and employees. Students who offer hope for the future. Employees who every day contribute to Link\u00f6ping University tackling the challenges of our time. Our values are based on credibility, trust, and security. By being brave, thinking freely, and doing new things, we create together, through big and small actions, a better future. Welcome to apply for a job with us!\nResearcher in audio analysis in CHALS \u2013 contribute to the future of health and audio-based diagnostics.\nYour Responsibilities\nIn https:\/\/liu.se\/forskning\/chals (Computerized Heart and Lung Sounds), we investigate how digitally recorded heart and lung sounds relate to findings from computed tomography of the heart and lungs, echocardiography, and lung function testing, with the aim of contributing long-term to improved diagnostics and sound clinical decisions in the evaluation of cardiopulmonary disease. As a postdoctoral researcher, you will primarily conduct research. Teaching may also be part of your responsibilities, but no more than one-fifth of your working time.\nYour Qualifications\nTo be eligible for employment as a postdoctoral researcher, you must have completed a doctoral degree or hold a foreign degree assessed as equivalent to a doctoral degree. Your degree must be completed by the time the employment decision is made.\nYou have completed a doctoral degree in computer science or a related technical field. It is meritable if your degree was completed no more than three years before the application deadline for this position. If there are special reasons, a degree completed earlier may be considered, for example due to various types of statutory leave.\nWe are looking for someone with expertise in machine learning (ML) and statistical modeling, with particular focus on analysis of time series data such as audio or biosignals. You have solid experience and knowledge in modeling and statistics. You have experience developing and adapting deep learning pipelines and are accustomed to making methodological choices in situations with limited, noisy, or heterogeneous data.\nExperience with Bayesian methods or other probabilistic learning methods for handling uncertainty is meritable. Background in signal processing or audio data analysis is also meritable. You have excellent programming skills in Python and experience with modern ML frameworks.\nYou are driven, accustomed to taking independent responsibility, have good oral and written communication skills in both Swedish and English, and work well in collaboration and presenting results at both scientific and popular scientific levels.\nYour Workplace\nYou will work at the Division of Prevention, Reproduction and Proximal Care (PRNV), the unit for clinical medicine at the Department of Health, Medicine and Care (HMV), and the Division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer Science (IDA), Link\u00f6ping University. PRNV is an interdisciplinary research environment where projects span from experimental research to large epidemiological studies and digital interventions. You will be an important part of the CHALS project.\nAbout the Employment\nThe employment is a fixed-term position for two years with the possibility of extension for a combined employment period of at most three years. The postdoctoral position is full-time.\nStart date by agreement.\nA security check may be conducted before an employment decision is made.\nSalary and Benefits\nThe University applies individual salary determination; state your salary expectations in your application.\nRead more about employee benefits https:\/\/liu.se\/jobba-pa-liu\/formaner\nTrade Union Representatives\nFor information about trade union representatives, 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 September 2, 2026. Applications received after the application deadline will not be considered.\nWe welcome applicants with different backgrounds, experiences, and perspectives; it enriches and develops our activities. For us, it is self-evident to safeguard everyone's equal value, rights, and opportunities. Read about our work at https:\/\/liu.se\/artikel\/lika-villkor\/.\nWelcome to submit your application!\nLink\u00f6ping University has negotiated agreements and asks us to decline direct contact from staffing and recruitment companies and sellers of job advertisements.","language":"sv","is_translated":true,"title_original":"Postdoktor inom maskininl\u00e4rning och ljudanalys","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!\nForskare inom ljudanalys i CHALS \u2013 bidra till framtidens h\u00e4lsa och ljudbaserad diagnostik.\nDina arbetsuppgifter\nI https:\/\/liu.se\/forskning\/chals (Computerized Heart and Lung Sounds) unders\u00f6ker vi hur digitalt inspelade hj\u00e4rt- och lungljud \u00e4r relaterade till fynd vid datortomografi av hj\u00e4rtat och lungorna, ultraljud av hj\u00e4rtat och lungfunktionsunders\u00f6kningar med syftet att l\u00e5ngsiktigt bidra till en f\u00f6rb\u00e4ttrad diagnostik och kloka kliniska val vid utredning av kardiopulmonell sjukdom. Som postdoktor kommer du i huvudsak bedriva forskning. \u00c4ven undervisning kan ing\u00e5 i arbetsuppgifterna, dock till h\u00f6gst en femtedel av arbetstiden.\nDina kvalifikationer\nF\u00f6r att vara beh\u00f6rig till anst\u00e4llning som postdoktor har du avlagt doktorsexamen eller har en utl\u00e4ndsk examen som bed\u00f6ms motsvara doktorsexamen. Din examen ska vara avlagd senast vid tidpunkten d\u00e5 anst\u00e4llningsbeslutet fattas.\nDu har avlagt doktorsexamen inom datavetenskap eller n\u00e4rliggande tekniskt omr\u00e5de. Det \u00e4r meriterande om din examen \u00e4r avlagd h\u00f6gst tre \u00e5r f\u00f6re sista ans\u00f6kningsdag f\u00f6r denna anst\u00e4llning. Om det finns s\u00e4rskilda sk\u00e4l kan den komma i fr\u00e5ga som avlagt doktorsexamen tidigare, exempelvis vid olika typer av lagstadgade ledigheter.\nVi s\u00f6ker dig som har expertis inom maskininl\u00e4rning (ML) och statistisk modellering, med s\u00e4rskilt fokus p\u00e5 analys av tidsseriedata s\u00e5som ljud- eller biosignaler. Du har gedigna erfarenheter och kunskaper inom modellering och statistik. Du har erfarenhet av att utveckla och anpassa deep learning-pipelines och \u00e4r van att fatta metodval i situationer med begr\u00e4nsande, brusiga eller heterogena data.\nErfarenhet av, Bayesianska metoder eller andra probabilistiska inl\u00e4rningsmetoder f\u00f6r hantering av os\u00e4kerhet \u00e4r meriterande. Bakgrund inom signalbehandling eller analys av ljuddata \u00e4r ocks\u00e5 meriterande. Du har mycket goda programmeringskunskaper i Python och att anv\u00e4nda moderna ML-ramverk.\nDu \u00e4r driven, van att ta eget ansvar, har god muntlig och skriftlig kommunikations-f\u00f6rm\u00e5ga b\u00e5de p\u00e5 svenska och engelska samt har l\u00e4tt att samarbeta och f\u00f6rmedla resultat p\u00e5 b\u00e5de vetenskaplig och popul\u00e4rvetenskaplig niv\u00e5.\nDin arbetsplats\nDu kommer att arbeta p\u00e5 Avdelningen f\u00f6r Prevention, reproduktion och N\u00e4ra V\u00e5rd(PRNV),enheten f\u00f6r klinisk medicin vid institutionen f\u00f6r H\u00e4lsa, Medicin och V\u00e5rd (HMV) samt Avdelningen f\u00f6r Artificiell Intelligens och Integrerade Datorsystem (AIICS) vid Institutionen f\u00f6r Datavetenskap (IDA), Link\u00f6pings universitet. PRNV \u00e4r en tv\u00e4rvetenskaplig forskningsmilj\u00f6 d\u00e4r projekt sp\u00e4nner fr\u00e5n experimentell forskning till stora epidemiologiska studier och digitala interventioner. Du en viktig del av projektet CHALS.\nOm anst\u00e4llningen\nAnst\u00e4llningen \u00e4r en tidsbegr\u00e4nsad anst\u00e4llning p\u00e5 tv\u00e5 med m\u00f6jlighet till f\u00f6rl\u00e4ngning med en sammanlagd anst\u00e4llningstid p\u00e5 h\u00f6gst tre \u00e5r. Anst\u00e4llningen som postdoktor \u00e4r p\u00e5 heltid.\nTilltr\u00e4de enligt \u00f6verenskommelse.\nS\u00e4kerhetskontroll kan komma att genomf\u00f6ras innan beslut om anst\u00e4llning fattas.\nL\u00f6n och f\u00f6rm\u00e5ner\nUniversitetet till\u00e4mpar individuell l\u00f6nes\u00e4ttning, l\u00e4mna l\u00f6neanspr\u00e5k i din ans\u00f6kan.\nL\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 den 2 september 2026. Ans\u00f6kan som inkommer efter sista ans\u00f6kningsdag beaktas ej.\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\u00d6PINGS UNIVERSITET","postcode":"58183","positions":1,"profession":"Postdoktor\/Postdoc","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/liu.se\/","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"Fredrik Heintz","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":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":"fredrik.heintz@liu.se","images":[],"published_at":"2026-08-11T09:04:53+00:00","expires_at":"2026-09-02T23:59:59+00:00","created_at":"2026-08-15T03:12:19+00:00","updated_at":"2026-08-23T03:14:14+00:00"}}