{"data":{"id":207073,"slug":"postdoktor-2-ar-inom-datasekretess-och-maskininlarning-2","type":"job","title":"Postdoctoral Researcher (2 years) in Data Privacy and Machine Learning","description":"Ume\u00e5 University is one of Sweden's largest institutions of higher education with over 41,500 students and approximately 4,600 employees.\nInterested in learning more? Read more about Ume\u00e5 University as a workplace.\nOur department, which conducts research at the highest international level and offers a range of high-quality educational programs, is now seeking a postdoctoral researcher to work on data privacy methods for data-driven models. The position is full-time for two years with a start date of January 12, 2027 or by agreement.\nThe Department of Computing Science at Ume\u00e5 University is an international environment for research and education across a broad spectrum of computer science. Read more at Department of Computing Science\nProject Description and Responsibilities\nThe project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including temporal data. We are interested in both data-driven models and models based on synthetic data.\nRegarding privacy, we focus on various types of privacy measures and models (differential and integral privacy, k-anonymity), as well as different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning.\nWe are interested in privacy-preserving machine learning at scale.\nResearch Group\nThe research group Privacy-aware transparency decisions, led by Professor Vicen\u00e7 Torra, conducts research on data privacy for data intended for machine learning and statistical use. It is well-known that data can be highly sensitive and that naive anonymization is insufficient to prevent disclosure. Models and aggregates can also lead to disclosure as they can contain traces of the data used in the computation. We want to understand the fundamental principles that enable us to build privacy-aware AI systems and develop algorithms for this purpose. The group collaborates with several national and international research groups, is editor of one of the largest journals on data privacy (Transactions on Data Privacy), and maintains active contacts with both private and public sectors. The group collaborates with several national and international research groups in these areas and has active contacts with the private and public sector. For more information see: umu.se\/en\/research\/groups\/nausica-privacy-aware-transparent-decisions-group-\/\nThe postdoctoral position is funded by Wallenberg AI, Autonomous Systems and Software Program, WASP, Sweden's largest individual research program in modern times. The program creates a platform for academic research and education in close collaboration with leading Swedish technology-intensive industry. The research encompasses artificial intelligence and autonomous systems that work in collaboration with humans and adapt to their environment using sensors, information and knowledge, creating intelligent systems of systems. WASP's vision is excellent research and expertise in artificial intelligence, autonomous systems and software for the benefit of Sweden's industry and society. Read more: https:\/\/wasp-sweden.org\/\nQualifications\nTo be employed under a fixed-term postdoctoral employment agreement, a doctorate degree or a foreign degree assessed as equivalent to a doctorate is required. This qualification requirement must be met by the time the employment decision is made.\nTo be employed under the postdoctoral agreement, preference will be given to those who have obtained a degree as described in the previous paragraph within the last three years. If there are special circumstances, consideration may be given to those who obtained their doctorate earlier. Special circumstances refer to leave due to illness, parental leave, positions of trust within labor organizations, service in total defense, or other similar circumstances, as well as clinical service or service\/assignments relevant to the field.\nA qualified applicant should have a doctorate degree or a foreign degree assessed as equivalent in computer science or another subject relevant to the project.\nDocumented knowledge and proven research experience in the field of designing algorithms and methods for data protection and machine learning is required. It is highly meritorious to have publications at leading conferences in machine learning, security and privacy (NeurIPS, ICML, S&P, PETs, ESORICS or similar conferences).\nA successful candidate is expected to have a scientific and results-oriented approach to your work. Excellent knowledge of the English language, both spoken and written, is a key requirement.\nApplication\nA complete application should contain:\nCover letter describing your research interests and why you are applying for the advertised position. Summarize your qualifications, research interests, motivation for applying and describe the connection between your previous research and position (maximum 2 pages),\nCurriculum Vitae with publication list,\nCertified copy of your doctoral degree or documentation demonstrating when your doctorate is expected to be obtained,\nCertified copies of other degrees, academic course certificates and\/or grades,\nCopy of your doctoral dissertation and maximum 5 relevant articles,\nAny other documents the applicant wishes to submit.\nContact information for two references.\n\nThe application should be written in English or Swedish. Applications are made through our electronic recruitment system. Documents submitted electronically must be in Word or PDF format. Log in to the system and apply using the button at the end of this page. The application deadline is October 11. Further information is provided by Vicen\u00e7 Torra, vtorra@cs.umu.se\nUme\u00e5 University wishes to offer an equal and inclusive environment where open dialogue between people with different backgrounds and perspectives provides the foundation for learning, creativity and development. We therefore welcome applications from people with diverse backgrounds and experiences for this position.\nTo staffing and recruitment companies and to those who sell job ads: We respectfully but firmly decline direct contact from staffing and recruitment companies as well as sellers of additional job postings.","language":"sv","is_translated":true,"title_original":"Postdoktor (2 \u00e5r) inom datasekretess och maskininl\u00e4rning","description_original":"Ume\u00e5 universitet \u00e4r ett av Sveriges st\u00f6rsta l\u00e4ros\u00e4ten med \u00f6ver 41 500 studenter och cirka 4 600 anst\u00e4llda.\n\u00c4r du intresserad av att veta mer? L\u00e4s mer om Ume\u00e5 universitet som arbetsplats.\nTill v\u00e5r institution, som bedriver forskning p\u00e5 h\u00f6gsta internationella niv\u00e5 och tillhandah\u00e5ller ett flertal h\u00f6gkvalitativa utbildningsprogram, s\u00f6ker vi nu en postdoktor som ska arbeta med datasekretess metoder f\u00f6r datadrivna modeller. Anst\u00e4llningen avser heltid under tv\u00e5 \u00e5r med tilltr\u00e4de 12 januari 2027 eller enligt \u00f6verenskommelse.\nInstitutionen f\u00f6r datavetenskap vid Ume\u00e5 universitet \u00e4r en internationell milj\u00f6 f\u00f6r forskning och utbildning inom ett brett spektrum av det datavetenskapliga omr\u00e5det. L\u00e4s mer p\u00e5 Institutionen f\u00f6r datavetenskap\u00a0\nProjektbeskrivning och arbetsuppgifter\nProjektet kommer att utveckla integritetsmedvetna modeller f\u00f6r maskininl\u00e4rning (ML). Vi \u00e4r intresserade av datadrivna modeller f\u00f6r komplexa data, inklusive temporala data. Vi \u00e4r intresserade av b\u00e5de datadrivna modeller och modeller som bygger p\u00e5 syntetiska data.\nInom integritet fokuserar vi p\u00e5 olika typer av integritetsm\u00e5tt och modeller (differentiell och integral integritet, k-anonymitet), samt olika scenarier (centraliserade och decentraliserade data; lokal och global integritet). F\u00f6r decentraliserade data beaktar vi federerad inl\u00e4rning.\nVi \u00e4r intresserade av integritetsbevarande maskininl\u00e4rning i stor skala.\nForskningsgrupp\nForskningsgruppen Privacy-aware transparency decisions, ledd av professor Vicen\u00e7 Torra, forskar om dataintegritet f\u00f6r data som ska anv\u00e4ndas f\u00f6r maskininl\u00e4rning och statistisk. Det \u00e4r v\u00e4lk\u00e4nt att data kan vara mycket k\u00e4nsliga och att naiv anonymisering inte \u00e4r tillr\u00e4ckligt f\u00f6r att undvika avsl\u00f6jande. Modeller och aggregat kan ocks\u00e5 leda till avsl\u00f6jande eftersom de kan inneh\u00e5lla sp\u00e5r av de data som anv\u00e4nds vid ber\u00e4kningen. Vi vill f\u00f6rst\u00e5 de grundl\u00e4ggande principer som g\u00f6r det m\u00f6jligt f\u00f6r oss att bygga integritetsmedvetna AI-system och utveckla algoritmer f\u00f6r detta \u00e4ndam\u00e5l. Gruppen samarbetar med flera nationella och internationella forskargrupper, \u00e4r redakt\u00f6r f\u00f6r en av de st\u00f6rsta tidskrifterna om datasekretess (Transactions on Data Privacy) och har aktiva kontakter med den privata och offentliga sektorn. Gruppen samarbetar med flera nationella och internationella forskargrupper i dessa \u00e4mnen, och har aktiva kontakter med den privata och offentliga sektorn. F\u00f6r mer information se: umu.se\/en\/research\/groups\/nausica-privacy-aware-transparent-decisions-group-\/\nPostdoktorsanst\u00e4llningen finansieras\u00a0av Wallenberg AI, Autonomous Systems and Software Program, WASP, \u00e4r Sveriges st\u00f6rsta enskilda forskningsprogram i modern tid. Programmet skapar en plattform f\u00f6r akademisk forskning och utbildning i n\u00e4ra samarbete med ledande svensk teknikintensiv industri. Forskningen innefattar artificiell intelligens och autonoma system som verkar i samarbete med m\u00e4nniskor och som anpassar sig till sin omgivning med hj\u00e4lp av sensorer, information och kunskap och skapar intelligenta system av system. WASPs vision \u00e4r excellent forskning och kompetens inom artificiell intelligens, autonoma system och mjukvara till gagn f\u00f6r Sveriges industri och samh\u00e4lle. L\u00e4s mer: https:\/\/wasp-sweden.org\/\nKvalifikationer\nF\u00f6r att anst\u00e4llas med st\u00f6d av avtal om tidsbegr\u00e4nsad anst\u00e4llning som postdoktor kr\u00e4vs avlagd\u00a0doktorsexamen\u00a0eller utl\u00e4ndsk examen som bed\u00f6ms motsvara doktorsexamen. Detta beh\u00f6righetskrav ska vara uppfyllt senast vid tidpunkten d\u00e5 anst\u00e4llningsbeslutet fattas.\nF\u00f6r att anst\u00e4llas med st\u00f6d av postdoktoravtalet b\u00f6r fr\u00e4mst den komma\u00a0ifr\u00e5ga\u00a0som har avlagt examen enligt f\u00f6reg\u00e5ende stycke f\u00f6r h\u00f6gst tre \u00e5r sedan. Om det finns s\u00e4rskilda sk\u00e4l kan den komma i fr\u00e5ga som avlagt doktorsexamen tidigare. Med s\u00e4rskilda sk\u00e4l avses ledighet p\u00e5 grund av sjukdom,\u00a0f\u00f6r\u00e4ldraledighet, f\u00f6rtroendeuppdrag inom fackliga organisationer, tj\u00e4nstg\u00f6ring inom totalf\u00f6rsvaret, eller andra\u00a0liknande\u00a0omst\u00e4ndigheter samt klinisk tj\u00e4nstg\u00f6ring eller f\u00f6r \u00e4mnesomr\u00e5det relevant tj\u00e4nstg\u00f6ring\/uppdrag.\u00a0\u00a0\nEn kvalificerad s\u00f6kande ska ha en doktorsexamen eller en utl\u00e4ndsk examen som bed\u00f6ms likv\u00e4rdig inom datavetenskap eller annat \u00e4mne av relevans f\u00f6r projektet.\nDokumenterad kunskap och bepr\u00f6vad forskningserfarenhet inom omr\u00e5det design av algoritmer och metoder f\u00f6r dataskydd och maskininl\u00e4rning kr\u00e4vs. Det \u00e4r mycket meriterande med publikationer p\u00e5 ledande konferenser inom maskininl\u00e4rning, s\u00e4kerhet och integritet (NeurIPS, ICML, S&P, PETs, ESORICS eller liknande konferenser).\nEn framg\u00e5ngsrik kandidat f\u00f6rv\u00e4ntas ha ett vetenskapligt och resultatorienterat f\u00f6rh\u00e5llningss\u00e4tt till ditt arbete. Mycket goda kunskaper i engelska spr\u00e5ket, b\u00e5de i tal och skrift, \u00e4r nyckelkrav.\nAns\u00f6kan\nEn fullst\u00e4ndig ans\u00f6kan ska inneh\u00e5lla:\nPersonligt brev som beskriver dina forskningsintressen och varf\u00f6r du s\u00f6ker den utlysta anst\u00e4llningen. Sammanfatta dina kvalifikationer, forskningsintressen, motivation f\u00f6r att s\u00f6ka och beskriver kopplingen mellan din tidigare forskning och position (max 2 sidor),\nMeritf\u00f6rteckning - CV med publikationslista,\nStyrkt kopia av doktorsexamensbevis eller dokumentation som styrker n\u00e4r doktorsexamen f\u00f6rv\u00e4ntas erh\u00e5llas,\nStyrkta kopior av andra examensbevis, akademiska kursintyg och\/eller betyg,\nKopia av doktorsavhandling och maximalt 5 relevanta artiklar,\n\u00d6vriga handlingar som den s\u00f6kande vill \u00e5beropa.\nKontaktuppgifter till tv\u00e5 vidtalade referenser.\n\nAns\u00f6kan ska vara skriven p\u00e5 engelska eller svenska. Ans\u00f6kan g\u00f6rs genom v\u00e5rt elektroniska rekryteringssystem. Handlingar som skickas elektroniskt ska vara i formaten Word eller PDF. Logga in p\u00e5 systemet och ans\u00f6k via knappen i slutet av denna sida. Sista ans\u00f6kningsdag \u00e4r 11 oktober. N\u00e4rmare upplysningar l\u00e4mnas av Vicen\u00e7 Torra, vtorra@cs.umu.se\nUme\u00e5 universitet vill erbjuda en j\u00e4mst\u00e4lld och j\u00e4mlik milj\u00f6 d\u00e4r \u00f6ppna samtal mellan m\u00e4nniskor med olika bakgrund och perspektiv l\u00e4gger grunden f\u00f6r l\u00e4rande, skaparkraft och utveckling. Vi v\u00e4lkomnar d\u00e4rf\u00f6r personer med olika bakgrunder och erfarenheter att s\u00f6ka den aktuella anst\u00e4llningen.\nTill bemannings- och rekryteringsf\u00f6retag och till dig som \u00e4r f\u00f6rs\u00e4ljare: Vi undanber oss v\u00e4nligen men best\u00e4mt direktkontakt med bemannings- och rekryteringsf\u00f6retag samt f\u00f6rs\u00e4ljare av ytterligare jobbannonser.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"Ume\u00e5 universitet","full_address":null,"city":"Ume\u00e5","country":"SE","latitude":63.7970413,"longitude":20.2816791},"metadata":{"region":"V\u00e4sterbottens l\u00e4n","duration":"6 m\u00e5nader eller l\u00e4ngre","employer":"Ume\u00e5 Universitet","postcode":"90187","positions":1,"profession":"Forskare, IT","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/www.umu.se\/jobba-hos-oss\/","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"Vicenc Torra","employment_type":"full_time","occupation_field":"Data\/IT","employer_workplace":"Ume\u00e5 universitet, Teknisk-naturvetenskaplig fakultet","experience_required":true,"employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":5,"bot_views_count":2,"ai_vendor_counts":{"openai":2,"anthropic":3},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"vtorra@cs.umu.se","images":[],"published_at":"2026-09-11T09:07:34+00:00","expires_at":"2026-10-11T23:59:59+00:00","created_at":"2026-09-12T03:25:12+00:00","updated_at":"2026-09-15T03:11:06+00:00"}}