{"data":{"id":177511,"slug":"postdoktor-i-fjarranalys-av-skog-och-klimatriskbedomning-vid-mgeo","type":"job","title":"Postdoctoral Researcher in Remote Sensing of Forests and Climate Risk Assessment at Mgeo","description":"Special Subject Description\nSweden's forests face increasing climate-related pressures in the form of intensified drought, more frequent and damaging storms, and associated risks such as bark beetle infestations. Forest owners and regional authorities need current and spatially detailed information about where climate stress occurs and which forest stands are most vulnerable. However, current monitoring relies largely on field inspections and broad regional assessments, which are often too slow or limited to serve as operational decision-making tools.\nThe Department of Environmental and Geographical Sciences is announcing a postdoctoral position within a project aimed at meeting this need. The project's goal is to develop an operational, web-based service that uses satellite observations from Landsat and Sentinel, tree species maps, forest structure data, and climate indicators for continuous assessment of climate risks in Sweden's forests. The service will provide tree species-specific maps of drought stress, a risk index for storm exposure, and indicators of susceptibility to bark beetle infestations. The service is being developed in collaboration with regional authorities and forest owner associations. The project will also investigate the spatial and temporal mechanisms linking windthrow, drought, and bark beetle infestations and establish the scientific foundation for the service.\nDuties\nThe primary responsibilities within a postdoctoral position involve conducting research. Teaching may also be included depending on how the postdoctoral project progresses, but must not exceed 20 percent of working time. In connection with this, the opportunity is provided to complete three weeks of university-level pedagogical training.\nThe postdoctoral researcher will:\nDevelop and maintain harmonized time series datasets from Landsat and Sentinel-2 satellites and integrate these with complementary data, including airborne lidar, tree species maps, and gridded climate data.\nProduce spatially explicit climate risk layers, including tree species-specific maps of drought stress, a risk index for storm exposure, and indicators of susceptibility to bark beetle infestations.\nContribute to the development of an operational web-based monitoring service, including automated update workflows and a web-based GIS dashboard for users.\nInvestigate which forest, landscape, and climate conditions affect sensitivity to storm damage, using major storm events as natural experiments and employing interpretable machine learning and deep learning models.\nPublish research results in high-quality international scientific journals. At least two scientific articles are expected.\n\nQualifications\nEmployment as a postdoctoral researcher at Lund University requires a doctoral degree, or a foreign degree assessed as equivalent to a doctoral degree, within a subject area relevant to the position. The degree must have been completed no more than three years before the date of the employment decision. If there are special circumstances, the doctoral degree may have been completed earlier.\nEvaluation Criteria\nThis is a merit-based position primarily focused on research. The position is intended as an initial step in a research career, and evaluation of candidates will primarily be based on their scientific merits and potential as researchers. Particular emphasis will be placed on scientific expertise within the subject area.\nWhen hiring a postdoctoral researcher, the following shall form the basis for evaluation:\nQuantitative remote sensing, including optical and radar data.\nPlant ecology, particularly with a focus on forest ecosystems.\nComputer programming.\nData analysis, including machine learning, statistics, numerical analysis, and time series analysis.\nQuantitative methods in remote sensing of vegetation, such as spectral mixture analysis.\n\nAdditional Merits\nExperience in web-GIS development or visualization of geospatial data.\nExperience with high-performance computing clusters or cloud-based platforms for Earth observation, such as GEE Python API.\nExperience in processing airborne lidar data and modeling of canopy height.\n\nGreat emphasis will be placed on both technical competence and personal suitability. Consideration will also be given to good collaborative skills, drive and independence, ability to communicate research clearly, and how the applicant's experience and expertise complement and strengthen ongoing research at the department and contribute to its future development.\nTerms\nThe position is full-time and limited to two years, with the possibility of extension. The employment period is determined in accordance with the Agreement on Fixed-Term Employment as a Postdoctoral Researcher between Lund University, SACO-S, and OFR\/S, dated February 1, 2022.\nStart Date: As soon as possible or by agreement.\nApplication Instructions\nThe application must be written in English and contain the following:\nA personal letter of no more than two pages describing (1) why you are interested in the position, (2) how you would contribute to the project, and (3) why you are a good candidate.\nCV including publication list.\nCopy of your doctoral degree diploma and any other certificates or grades you wish to provide.\nContact information for two references.\n\nIncomplete applications will not be considered.\nWe welcome your application!\n\nAt the Faculty of Science, research and education are conducted in astronomy, biology, physics, geosciences, chemistry, mathematics, medical radiation physics, environmental science, and physical geography. Activities are conducted in the northern university area. The faculty has approximately 1,900 students, 330 doctoral students, and 730 employees.\nWe decline all contact from advertising sales representatives, recruitment agencies, and staffing companies due to government procurement regulations.","language":"sv","is_translated":true,"title_original":"Postdoktor i fj\u00e4rranalys av skog och klimatriskbed\u00f6mning vid Mgeo","description_original":"S\u00e4rskild \u00e4mnesbeskrivning\nSveriges skogar uts\u00e4tts f\u00f6r \u00f6kande klimatrelaterade p\u00e5frestningar i form av intensifierad torka, mer frekventa och skadliga stormar samt f\u00f6ljdrisker s\u00e5som barkborreangrepp. Skogs\u00e4gare och regionala myndigheter beh\u00f6ver aktuell och rumsligt detaljerad information om var klimatstress uppst\u00e5r och vilka skogsbest\u00e5nd som \u00e4r mest utsatta. Dagens \u00f6vervakning bygger dock till stor del p\u00e5 f\u00e4ltinspektioner och \u00f6versiktliga regionala bed\u00f6mningar, som ofta \u00e4r f\u00f6r l\u00e5ngsamma eller begr\u00e4nsade f\u00f6r att kunna anv\u00e4ndas som operativt beslutsunderlag.\nMilj\u00f6- och geovetenskapliga institutionen utlyser en postdoktoranst\u00e4llning inom ett projekt som syftar till att m\u00f6ta detta behov. Projektets m\u00e5l \u00e4r att utveckla en operativ, webbaserad tj\u00e4nst som anv\u00e4nder satellitobservationer fr\u00e5n Landsat och Sentinel, tr\u00e4dslagskartor, data \u00f6ver skogens struktur samt klimatindikatorer f\u00f6r kontinuerlig bed\u00f6mning av klimatrisker i Sveriges skogar. Tj\u00e4nsten ska tillhandah\u00e5lla tr\u00e4dslagsspecifika kartor \u00f6ver torkstress, ett riskindex f\u00f6r stormexponering samt indikatorer p\u00e5 mottaglighet f\u00f6r barkborreangrepp. Tj\u00e4nsten utvecklas i samarbete med regionala myndigheter och skogs\u00e4garf\u00f6reningar. Projektet kommer \u00e4ven att unders\u00f6ka de rumsliga och tidsm\u00e4ssiga mekanismer som kopplar samman vindf\u00e4llning, torka och barkborreangrepp och l\u00e4gga den vetenskapliga grunden f\u00f6r tj\u00e4nsten.\nArbetsuppgifter\nDe huvudsakliga arbetsuppgifterna inom en postdoktoranst\u00e4llning \u00e4r att bedriva forskning. Undervisning kan ocks\u00e5 ing\u00e5 beroende p\u00e5 hur postdoktorprojektet fortskrider, men f\u00e5r inte omfatta mer \u00e4n 20 procent av arbetstiden. I samband med detta ges m\u00f6jlighet att genomg\u00e5 tre veckors h\u00f6gskolepedagogisk utbildning.\nPostdoktorn kommer att:\nUtveckla och underh\u00e5lla harmoniserade tidsseriedataset fr\u00e5n satelliterna Landsat och Sentinel-2 samt integrera dessa med kompletterande data, inklusive flygburen lidar, tr\u00e4dslagskartor och griddade klimatdata.\nTa fram rumsligt explicita klimatrisklager, inklusive tr\u00e4dslagsspecifika kartor \u00f6ver torkstress, ett riskindex f\u00f6r stormexponering samt indikatorer p\u00e5 mottaglighet f\u00f6r barkborreangrepp.\nBidra till utvecklingen av en operativ webbaserad \u00f6vervakningstj\u00e4nst, inklusive automatiserade uppdateringsfl\u00f6den och en webbaserad GIS-dashboard f\u00f6r anv\u00e4ndare.\nUnders\u00f6ka vilka skogs-, landskaps- och klimatf\u00f6rh\u00e5llanden som p\u00e5verkar k\u00e4nsligheten f\u00f6r stormskador, med st\u00f6rre stormh\u00e4ndelser som naturliga experiment och med hj\u00e4lp av tolkningsbara maskin- och djupinl\u00e4rningsmodeller.\u00a0\n\u00a0Publicera forskningsresultat i internationella vetenskapliga tidskrifter av h\u00f6g kvalitet. Minst tv\u00e5 vetenskapliga artiklar f\u00f6rv\u00e4ntas.\n\nBeh\u00f6righet\nF\u00f6r anst\u00e4llning som postdoktor vid Lunds universitet kr\u00e4vs doktorsexamen, eller en utl\u00e4ndsk examen som bed\u00f6ms motsvara doktorsexamen, inom ett \u00e4mnesomr\u00e5de som \u00e4r relevant f\u00f6r anst\u00e4llningen. Examen ska ha avlagts h\u00f6gst tre \u00e5r f\u00f6re den dag d\u00e5 beslut om anst\u00e4llning fattas. Om det finns s\u00e4rskilda sk\u00e4l kan doktorsexamen ha avlagts tidigare.\nBed\u00f6mningsgrunder\nDetta \u00e4r en meriteringsanst\u00e4llning fr\u00e4mst inriktad p\u00e5 forskning. Anst\u00e4llningen \u00e4r t\u00e4nkt som ett inledande steg i karri\u00e4ren och bed\u00f6mningen av de s\u00f6kande kommer i f\u00f6rsta hand att baseras p\u00e5 deras vetenskapliga meriter och potential som forskare. S\u00e4rskild vikt kommer att f\u00e4stas vid vetenskaplig f\u00f6rm\u00e5ga inom \u00e4mnesomr\u00e5det.\nVid anst\u00e4llning av postdoktor ska f\u00f6ljande utg\u00f6ra grund f\u00f6r bed\u00f6mning:\nKvantitativ fj\u00e4rranalys, inklusive optiska data och radardata.\nV\u00e4xtekologi, s\u00e4rskilt med inriktning p\u00e5 skogsekosystem.\nDatorprogrammering.\nDataanalys, inklusive maskininl\u00e4rning, statistik, numerisk analys och tidsserieanalys.\nKvantitativa metoder inom fj\u00e4rranalys av vegetation, exempelvis spektral blandningsanalys.\n\n\u00d6vriga meriter\nErfarenhet av utveckling av webb-GIS eller visualisering av geospatiala data.\nErfarenhet av h\u00f6gpresterande datorkluster eller molnbaserade plattformar f\u00f6r jordobservation, exempelvis GEE Python API.\nErfarenhet av bearbetning av flygburna lidardata och modellering av krontaksh\u00f6jd.\n\nStor vikt kommer att l\u00e4ggas vid b\u00e5de teknisk kompetens och personlig l\u00e4mplighet. H\u00e4nsyn kommer \u00e4ven att tas till god samarbetsf\u00f6rm\u00e5ga, drivkraft och sj\u00e4lvst\u00e4ndighet, f\u00f6rm\u00e5ga att tydligt kommunicera forskning samt hur den s\u00f6kandes erfarenhet och kompetens kompletterar och st\u00e4rker den p\u00e5g\u00e5ende forskningen vid institutionen och bidrar till dess framtida utveckling\nVillkor\nAnst\u00e4llningen \u00e4r p\u00e5 heltid och tidsbegr\u00e4nsad till tv\u00e5 \u00e5r, med m\u00f6jlighet till f\u00f6rl\u00e4ngning. Anst\u00e4llningstiden fastst\u00e4lls i enlighet med Avtal om tidsbegr\u00e4nsad anst\u00e4llning som postdoktor mellan Lunds universitet, SACO-S och OFR\/S, daterat den 1 februari 2022.\nTilltr\u00e4de: Snarast m\u00f6jligt eller enligt \u00f6verenskommelse.\nInstruktioner f\u00f6r ans\u00f6kan\nAns\u00f6kan ska vara skriven p\u00e5 engelska och inneh\u00e5lla f\u00f6ljande:\nEtt personligt brev p\u00e5 h\u00f6gst tv\u00e5 sidor som beskriver (1) varf\u00f6r du \u00e4r intresserad av anst\u00e4llningen, (2) hur du skulle bidra till projektet och (3) varf\u00f6r du \u00e4r en bra kandidat.\nCV inklusive publikationslista.\nKopia av examensbevis f\u00f6r doktorsexamen samt andra intyg eller betyg som du vill \u00e5beropa.\nKontaktuppgifter till tv\u00e5 referenspersoner.\n\nOfullst\u00e4ndiga ans\u00f6kningar kommer inte att beaktas.\nV\u00e4lkommen med din ans\u00f6kan!\n\u00a0\nVid Naturvetenskapliga fakulteten bedrivs forskning och utbildning inom astronomi, biologi fysik, geovetenskap, kemi, matematik, medicinsk str\u00e5lningsfysik, milj\u00f6vetenskap och naturgeografi. Verksamheten bedrivs inom norra universitetsomr\u00e5det. Fakulteten har ca 1 900 studenter, 330 forskarstuderande och 730 anst\u00e4llda.\nVi undanber oss alla kontakter fr\u00e5n annonsf\u00f6rs\u00e4ljare, rekryterings- och bemanningsf\u00f6retag p\u00e5 grund av statliga upphandlingsregler.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"S\u00f6lvegatan 12","full_address":null,"city":"Lund","country":"SE","latitude":55.709262771233,"longitude":13.201203433944},"metadata":{"region":"Sk\u00e5ne l\u00e4n","duration":"6 m\u00e5nader eller l\u00e4ngre","employer":"Lunds Universitet","postcode":"22362","positions":1,"profession":"Forskarassistent","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":"OFR\/ST:Fackf\u00f6rbundet ST:s kansli","employment_type":"full_time","occupation_field":"Pedagogik","employer_workplace":"Lunds universitet","experience_required":true,"employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":3,"ai_views_count":6,"ai_vendor_counts":{"other":2,"openai":2,"anthropic":2},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":"046-2229362","owner_email":"st@st.lu.se","images":[],"published_at":"2026-08-28T13:53:43+00:00","expires_at":"2026-09-27T23:59:59+00:00","created_at":"2026-08-29T03:49:47+00:00","updated_at":"2026-09-02T02:55:04+00:00"}}