Search results for "geospatial data"

About the role The objective of this position is to strengthen the team’s capacity to develop and apply data-driven and systems-based approaches across water, coastal and marine domains – including federated data systems, decision-support tools and geospatial analysis – while contributing to project leadership and new funding opportunities. The researcher will work across the team’s three pillars and multiple projects, bringing methodological coherence to data-intensive work and reducing dependence on the team lead for analytical coordination. About the team The Water, Coasts and Ocean Team works across three thematic pillars: Resilient Infrastructures, One Water and Blue Economy. Across these pillars, the team addresses increasingly complex challenges involving data integration, cross-sectoral cooperation and digital decision-support – from freshwater systems and coastal resilience to offshore infrastructure and critical national services. Several funded projects now require integrated capacity in data (systems, modelling and governance). Recruiting a researcher with strong expertise in data systems is a strategic priority for delivery, proposal development and analytical leadership. Key responsibilities Lead and contribute to data systems work: integration, interoperability, security and application in decision-support tools across sectors Apply and promote FAIR data principles (Findability, Accessibility, Interoperability, Reusability) and related standards in project data management Develop and implement digital and data-driven approaches for infrastructure risk assessment, resilience planning and coastal and marine management Contribute to SAFEWIN’s development of federated learning approaches for cross-sectoral data cooperation in sensitive infrastructure contexts Contribute to KRAFT’s analysis of data management challenges and cascading risks across critical infrastructure systems Engage with Swedish and international stakeholders, including public agencies, research partners and practitioners Translate complex data and modelling outputs into policy-relevant insights, project reports, publications and stakeholder-facing materials Contribute to proposal development and fundraising for new projects Support project coordination and supervision of junior researchers where relevant What we are looking for We do not expect candidates to have expertise across all areas listed. We are particularly interested in candidates with strong foundations in either data systems and digital methods or the governance and application of digital tools, combined with a demonstrated ability to work across disciplinary and sectoral boundaries. Experience in or genuine interest in water, coastal, marine or critical infrastructure contexts is valued but not required. Essential PhD in data science, environmental informatics, computer science, infrastructure systems or a related field; candidates without a PhD must demonstrate equivalent independent research experience, including a track record of securing funding Strong experience with data integration, modelling, spatial analysis or the development of digital decision-support tools Experience eliciting user requirements and translating them into analytical methods, digital tools or decision-support products Experience working with data from complex, multi-sectoral or infrastructure-related contexts Working proficiency in at least one programming or scripting language (e.g. Python, R) for data analysis or tool development Ability to lead analytical work packages within interdisciplinary research projects Familiarity with data governance, metadata standards, interoperability frameworks and data architectures supporting the sharing and use of data across organizations or sectors Experience contributing to or leading research funding proposals, with a track record of securing funds at a scale commensurate with career stage Strong publication record or equivalent output in applied research settings Excellent written and oral communication skills in English Desirable Experience with federated learning, privacy-preserving computation or cross-sectoral data governance Familiarity with GIS and geospatial data tools Background in or demonstrable familiarity with critical infrastructure systems, offshore energy, marine monitoring or defence-adjacent data environments Working proficiency in Swedish Who you are This is a cross-cutting role open to candidates at mid- or senior-researcher level. Both levels are genuinely considered; the appointment will reflect the experience and profile of the successful candidate. The ideal candidate at either level combines technical depth in data systems with the ability to engage meaningfully with governance, policy and stakeholder dimensions – and to translate between these registers. The role sits at the technical–policy interface that characterizes SEI’s comparative advantage. We are not looking for a pure engineer or a pure policy analyst, but someone who understands data systems well enough to make credible technical contributions and is intellectually curious about the institutional, political and governance dimensions of how data is managed and shared in complex settings. Mid-level researcher – A mid-level researcher will have demonstrated the ability to work independently on analytical and data-intensive tasks within research projects. They will have some experience contributing to funding proposals and may have secured smaller grants or project components, though not necessarily in a leading role. They may have worked within teams or independently without formal management responsibilities, and will have an emerging publication record or equivalent demonstrated output in applied research settings. Senior researcher – A senior researcher will have a demonstrated track record of independently mobilizing research or innovation funding, including having led funding applications, not only participated in teams led by others. They will have successfully secured funds both for their own work and to support others, and will have held leadership positions with responsibility for more junior staff. They will have built a recognized area of work, evidenced through a sustained publication record, a portfolio of funded projects or equivalent standing in applied or policy research communities.

Projektbeskrivning Forskarutbildningsämne: Geodesi och geoinformatik, med inriktning mot geoinformatik Vi söker en doktorand till en tvåårig licentiatanställning inom DISSECT, som utvecklar datadrivna modeller och beslutsstöd för emissionsfri, resurseffektiv och elektrifierad bygg- och anläggningsproduktion. Doktoranden arbetar med DISSECT:s material- och logistiklager. Forskningen kan omfatta GeoBIM och 3D-voxelmodeller av markförhållanden, mängder och materialflöden; materialspårning; volym- och massberäkningar; invers geologisk modellering; samt analys av sensor- och telematikdata från maskiner och transporter. Logistikdelen kan omfatta optimering av byggprocesser, masstransporter, cirkulära materialflöden och laddningsbegränsningar. Metodmässigt kan arbetet kombinera geospatial datahantering, databasteknik, data science, maskininlärning, simulering och optimering, inklusive modellprediktiv styrning och förstärkningsinlärning. Målet är digitaltvillingbaserat beslutsstöd för elektrifierade markentreprenader. Anställningen är placerad vid avdelningen för geoinformatik, KTH, och kopplad till Integrated Transport Research Lab och DISSECT-konsortiet. Det inledande målet är en licentiatexamen efter två år, men forskningen och forskarutbildningen planeras med ambitionen att fortsätta mot doktorsexamen, under förutsättning av fortsatt finansiering och formella beslut. Handledning: Lektor Gyözö Gidofalvi föreslås handleda doktoranden. Professor Jonas Mårtensson föreslås som biträdande handledare. Beslut tas vid antagning Behörighet för antagning För att bli antagen till forskarutbildning (kap 7 39 § högskoleförordningen) krävs att den sökande har grundläggande behörighet: avlagt en examen på avancerad nivå, eller fullgjort kursfordringar om minst 240 högskolepoäng, varav minst 60 högskolepoäng på avancerad nivå, eller på något annat sätt inom eller utom landet förvärvat i huvudsak motsvarande kunskaper. Utöver ovanstående  finns också ett obligatoriskt krav på engelska motsvarande Engelska B/6. Urval För att lyckas med dina doktorandstudier på KTH behöver du vara målinriktad och ihärdig i ditt arbete. Vid urval av de sökande bedöms förmågan att: självständigt driva sitt arbete framåt, kunna samarbeta med andra, ha ett professionellt förhållningssätt och analysera och arbeta med komplexa frågor. Meriterande är: erfarenhet av simulering, optimering eller digitala tvillingsystem, erfarenhet av molnmiljöer och containerbaserade applikationer, erfarenhet av att hantera stora datamängder, intresse för energisystem och hållbarhet, erfarenhet från forsknings- eller industriprojekt och god kommunikativ förmåga på Engelska och Svenska då det krävs i det dagliga arbetet. Efter behörighetskraven kommer stor vikt läggas vid personliga egenskaper. Målexamen: Licentiatexamen Information om antagning och anställning  Endast den som antagits till forskarutbildning får anställas som doktorand. Den sammanlagda anställningstiden får inte vara längre än vad som motsvarar utbildning på forskarnivå på heltid under fyra år. En anställd doktorand kan i begränsad omfattning (högst 20 %) utföra vissa arbetsuppgifter inom t.ex. utbildning och administration. En ny anställning som doktorand gäller för högst ett år, anställningen får därefter förnyas med högst två år i taget. Vid studier som ska avslutas med licentiatexamen får den sammanlagda anställningstiden inte vara längre än vad som motsvarar utbildning på forskarnivå på heltid under två år. Som doktorand får du del av KTH:s anställningsförmåner och har en månadslön enligt KTH:s avtal för doktorandlöner. Läs mer om Forskarstudier vid KTH | KTH | Sweden. Fackliga representanter Kontaktuppgifter till fackliga representanter. Doktorandsektionen (Tekniska högskolans studentkår) Kontaktuppgifter till doktorandsektionen. Ansökan  Du ansöker via KTH:s rekryteringssystem. Du som sökande har huvudansvaret för att din ansökan är komplett när den skickas in. Ansökan ska ha följande innehåll Kopior av examensbevis och betyg från tidigare universitetsstudier och intyg på uppfyllda språkkrav (se ovan). Översättningar till engelska eller svenska om originaldokumentet inte är utfärdade på ett av dessa språk. Kopior av original ska vidimeras  CV med relevanta professionella erfarenheter och kunskaper. Ansökningsbrev med en kortfattad redogörelse om varför du vill bedriva forskarstudier, om dina akademiska intressen och hur de relaterar till dina tidigare studier och framtida mål. (Max 2 sidor) Representativa publikationer eller tekniska rapporter. För längre dokument, bifoga gärna en sammanfattning (abstract) och en webblänk till den fullständiga texten Ansökan ska vara KTH tillhanda senast sista ansökningsdagen vid midnatt, CET/CEST (Central European Time/Central European Summer Time).  Övrigt För information om behandling av personuppgifter i samband med rekrytering. Det kan förekomma att en anställning hos KTH är placerad i säkerhetsklass. Om så är fallet för just denna anställning görs en säkerhetsprövning av sökande i enlighet med säkerhetsskyddslagen (2018:585) efter samtycke. I dessa fall är en förutsättning för anställning att sökande blir godkänd efter säkerhetsprövning. Vi undanber oss direktkontakt med bemannings- och rekryteringsföretag samt försäljare av platsannonser. Bli en del av KTH   KTH formar framtiden genom utbildning, forskning och innovation. Som ett ledande internationellt tekniskt universitet spelar vi en aktiv roll i att driva och medverka i omställningen till ett hållbart samhälle. Här erbjuds du möjligheten att växa och utvecklas på en kreativ och dynamisk arbetsplats med goda arbetsvillkor och förmåner. Jämställdhet, mångfald och lika villkor är en kvalitetsfråga och en självklar del av KTH:s värdegrund som universitet och statlig myndighet. Läs mer om våra förmåner och hur det är att arbeta och utvecklas på KTH.

Build the future of AI-powered maritime sustainability At Cetasol, we're building AI products that help shipping companies reduce fuel consumption, lower emissions, and operate more efficiently. Our platform combines real-time vessel data, cloud services, AI, and intuitive user experiences to help captains and fleet operators make better decisions every day. We're looking for a Product Engineer who enjoys solving customer problems end-to-end rather than working within narrowly defined technical boundaries. You'll work closely with product, design, AI engineers, and customers to turn ideas into impactful features that are used on vessels around the world. If you thrive in fast-moving environments, enjoy taking ownership, and love using modern AI-assisted development tools to build exceptional software, we'd love to meet you. What you'll do As a Product Engineer, you'll own features throughout their entire lifecycle—from idea to production. You'll: Design, build, and ship customer-facing features across web, cloud, and mobile platforms. Work closely with customers, designers, and AI engineers to understand problems and rapidly validate solutions. Develop scalable backend services, APIs, and modern frontend applications. Build intuitive experiences that make complex vessel and AI data easy to understand. Use AI-powered development tools such as Claude Code, Cursor, Codex, or similar to accelerate development and improve software quality. Improve product performance, reliability, security, and scalability. Participate in architecture decisions while balancing technical excellence with customer value. Write clean, well-tested, maintainable code and contribute to a strong engineering culture. Continuously iterate based on customer feedback and product analytics. What we're looking for We care more about your ability to build great products than checking every technology box. Experience 5+ years of professional software engineering experience. Experience building and shipping customer-facing SaaS products. Strong product mindset with the ability to translate user problems into elegant technical solutions. Comfortable working across the full stack when needed. Technical Skills Experience with several of the following: TypeScript (React, Node.js) Python (FastAPI or similar) REST APIs and microservice architectures AWS cloud services (Lambda, Cognito, S3, DynamoDB, PostgreSQL, Timestream, etc.) Docker and containerised deployments Infrastructure as Code, preferably AWS CDK CI/CD pipelines and modern DevOps practices AI-First Engineering We're looking for engineers who embrace the next generation of software development. You should be comfortable using tools such as: Claude Code Cursor Codex GitHub Copilot or similar AI development environments These tools are part of our everyday workflow and help us build faster while maintaining high quality. Bonus Points Experience in one or more of these areas is a plus: Data visualisation or geospatial applications Flutter mobile development Android development and hardware integrations (USB, Bluetooth, Serial) Real-time data systems AI/ML product integration Cloud monitoring and observability (Datadog) Performance optimisation of distributed systems Data analysis and experimentation What you'll get Build AI products that have a measurable environmental impact. Work with a highly experienced, collaborative team across engineering, AI, product, and design. A high degree of ownership and influence over both product and technology. Modern engineering workflows built around AI-assisted software development. Flexible working environment with opportunities for continuous learning. Competitive salary and benefits. The opportunity to shape the future of sustainable maritime operations. Why Cetasol? At Cetasol, we believe software and AI can fundamentally transform one of the world's largest industries. Every feature you build helps vessels consume less fuel, emit less CO₂, and operate more efficiently. You'll be joining a small, ambitious team where your ideas matter, your code reaches production quickly, and your work has real-world impact. If you're excited about building AI-powered products that make a difference, we'd love to hear from you. Join us and help shape the future of sustainable shipping.

Flightradar24 is one of the most successful growth-stage tech companies in Stockholm. Each month more than 50 million aviation enthusiasts visit Flightradar24 (app/website) and our Commercial services team has many of the biggest names in aviation on its customer list. We are looking for a Senior Aviation Platform Engineer, who can quickly understand existing systems, work independently, and deliver value from day one. You will play a key role in evolving our aviation data and improving flight matching algorithms, working closely with other engineers and stakeholders. You will be part of a platform engineering team responsible for designing, building, and operating scalable data solutions in AWS. The work includes both hands-on development and architectural decision-making. The position requires that you are able to work in Stockholm, Sweden. Relocation is not offered for this role. What you’ll do Your responsibilities include Real-time aircraft telemetry Global receiver networks (ADS-B, Mode-S, MLAT) Noisy radio data Flight trajectory processing and reconstruction Aviation data pipelines Geo-spatial computation Airspace analytics Aircraft state vectors Large-scale historical flight datasets Work with data that powers aviation insights access to the largest open aircraft surveillance dataset in the world systems used by millions of aviation enthusiasts every month data that contributes to accident investigations and aviation safety Who you are Has several years of hands-on experience building and operating production systems Is self-driven and comfortable making technical decisions independently Can quickly understand and work within an existing codebase and architecture Values clean code, testing, automation, and pragmatic engineering practices Communicates clearly and professionally in English About Flightradar24 Flightradar24 is the leading flight tracking and aviation data provider, leveraging the world’s largest ADS-B network. Our B2C platform serves millions, while our B2B solutions empower airlines, airports, and aviation stakeholders with essential operational insights. All this is made possible thanks to our globally distributed network of 55,000+ radio receivers that feed real-time aircraft data into the Flightradar24 platform. Over a billion database entries are added each month and we are processing several years of historical data totalling many terabytes. Our proprietary flight tracking data is industry leading and even investigative government agencies from around the world rely on it for aviation accident investigations. Benefits of working at Flightradar24 include: Opportunity to impact a service with millions of end users from all around the world Contribute to the value which Flightradar24 creates both for B2C and B2B but also for humanity. Modern office in the heart of beautiful downtown Stockholm, Sweden Being part of a diverse team Flexible and social work environment with free beverages, fruit, and snacks

We are looking for a postdoctoral researcher in Complex Mobility Systems. The position is part of a Formas-funded project developing dynamic synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis.   About us  The candidate will be based at https://www.chalmers.se/en/departments/env/research/frt/ at Chalmers University of Technology in Gothenburg, Sweden. With around 50 staff members, including faculty and Doctoral students from engineering, natural sciences, and social sciences, the division promotes challenge-driven, multidisciplinary research and offers courses linked to its research areas. Our group, STEAM – Sustainable Transport, Energy Analytics and Modelling, studies how people, vehicles, infrastructure, digital systems and energy systems interact, with applications in sustainable mobility, electrification, resilience, equity and policy analysis. The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems. About the research project   The position is connected to the DYnamic populatioNs for resilient And equitable MObility systems (DYNAMO) project. The project develops next-generation synthetic populations that are dynamic, scenario-conditioned and suitable for stress-testing mobility systems under disruptions. The work combines mobile phone data, census and urban data, activity-based and agent-based modelling, generative sequence models, transport networks, digital twins, resilience indicators and equity-sensitive analysis. The project explicitly seeks to move beyond static “average-day” demand modelling towards dynamic, behaviourally rich and policy-relevant simulations of how different groups adapt under changing conditions.  The project is carried out in collaboration withthe department of Architecture and Civil Engineering, Danmarks Tekniske Universitet (DTU, Denmark) and Universidad del Desarrollo / ISI Foundation (Chile/Italy), contributing expertise in human mobility modelling, resilience science, and empirical disruption analysis using large-scale mobile phone data from Chile. Who we are looking for  The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems. The following requirements are mandatory:  A doctoral degree in a relevant field, such as complex systems, network science, transport systems, urban science, computational social science, applied mathematics, physics, computer science, geography, urban planning, engineering, data science, resilience studies, or a closely related field. The degree must normally have been awarded before the start of employment. Meritorious educational qualifications: Read more about this at www.chalmers.se   Mandatory experiences and skills Documented ability to conduct high-quality independent research. Strong computational, mathematical, or modelling skills relevant to complex mobility systems, including the ability to implement and validate models using empirical or synthetic mobility data. Experience with quantitative modelling, simulation, data analysis or computational methods. Very good ability to write and communicate scientific results in English. Experience with at least one of the following: agent-based modelling, activity-based travel modelling, geospatial data analysis, mobility data analysis, generative modelling, transport simulation, network modelling, or data fusion. Ability to work both independently and in interdisciplinary research teams. The following experience will strengthen your application:  Read more about this at www.chalmers.se   What you will do  The postdoctoral researcher will conduct independent and collaborative research within the project. Depending on the candidate’s profile, the work may include: Developing computational and conceptually grounded frameworks for resilient and equitable mobility systems. Advancing agent-based, network-based or complex systems models of mobility under disruption. Contributing to the design of dynamic synthetic populations and behaviourally plausible mobility agents. Modelling how individuals, groups and networks adapt to disruptions, including sudden events and forewarned hazards. Developing or testing indicators for robustness, recovery, vulnerability, accessibility loss and equity impacts. Working with large-scale mobility, transport network, census, land-use or other urban data. Contributing to open, reproducible research workflows, model documentation and scientific publications. Collaborating with researchers in mobility data science, urban analytics, human mobility, resilience, digital twins and policy analysis. Helping connect the project’s empirical, computational, and theoretical components, and mentoring junior researchers or students where appropriate. Implementing and validating models related to dynamic synthetic populations, activity-based mobility patterns, disruption response, and resilience or equity indicators. Contract terms   Read more at www.chalmers.se   What we offer  Read more about what we offer at www.chalmers.se   Application procedure  Read more about this and apply at www.chalmers.se   We welcome your application no later than 2026-08-11 Shortlisting is planned for late August, with first interviews expected around 1 September.  For questions please contact:  Sonia Yeh, Professor, Department of Environmental and Energy Sciences. Email: sonia.yeh@chalmers.se, 031-772-67 16 We look forward to your application!  *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

We are looking for a Doctoral student in Complex Mobility Systems. The position is part of a Swedish Research Council-funded project developing dynamic synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis.   About us  The candidate will be based at https://www.chalmers.se/en/departments/env/research/frt/ at Chalmers University of Technology in Gothenburg, Sweden. With around 50 staff members, including faculty and doctoral students from engineering, natural sciences, and social sciences, the division promotes challenge-driven, multidisciplinary research and offers courses linked to its research areas. Our group, STEAM – Sustainable Transport, Energy Analytics and Modelling, studies the transformation of transport and energy systems using data-driven, computational and policy-relevant approaches. We work at the intersection of mobility systems, energy systems, electrification, resilience, equity and sustainability, combining large-scale empirical data, modelling, simulation and systems analysis.  In https://www.chalmers.se/en/research/we-train-new-researchers/graduate-schools/energy-environment-and-systems/, you will learn the use of techniques and analytical methods regarding the environment, energy, nature and society. The graduate school offers different specializations, Energy Conversion, Industrial Energy Systems, Energy and Material Systems, Physical Resource Theory, Environmental Systems Analysis and Complex Systems.  The graduate school is organised within the https://www.chalmers.se/en/departments/env/ and https://www.chalmers.se/en/departments/tme/ About the research project   The position is connected to the DYnamic populatioNs for resilient And equitable MObility systems (DYNAMO) project. The project develops next-generation synthetic populations that are dynamic, scenario-conditioned and suitable for stress-testing mobility systems under disruptions. The work combines mobile phone data, census and urban data, activity-based and agent-based modelling, generative sequence models, transport networks, digital twins, resilience indicators and equity-sensitive analysis. The project explicitly seeks to move beyond static “average-day” demand modelling towards dynamic, behaviourally rich and policy-relevant simulations of how different groups adapt under changing conditions.  The project is carried out in collaboration withthe department of Architecture and Civil Engineering, Danmarks Tekniske Universitet (DTU, Denmark) and Universidad del Desarrollo / ISI Foundation (Chile/Italy), contributing expertise in human mobility modelling, resilience science, and empirical disruption analysis using large-scale mobile phone data from Chile. Who we are looking for The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems. The following requirements are mandatory: A master’s degree corresponding to at least 240 higher education credits, or equivalent, in a relevant field such as engineering, applied mathematics, physics, computer science, data science, complex systems, transport systems, urban science, geography, urban planning, computational social science, or a related field. Strong quantitative, analytical, computational, or theoretical training relevant to the research topic. Meritorious educational qualifications: Read more about this at www.chalmers.se   Mandatory experiences and skills Strong motivation to conduct doctoral research Good analytical and problem-solving skills Good programming, modelling, data analysis, or mathematical skills, with the ability to understand and engage with computational model implementation. Ability or strong motivation to work with activity-based modelling, agent-based modelling, synthetic populations, mobility data, or geospatial data. Very good written and spoken English Ability to work independently and collaboratively in an interdisciplinary research environment The following experience will strengthen your application:  Read more about this at www.chalmers.se   What you will do Your main responsibility will be to conduct doctoral research and complete a PhD degree. Depending on your profile, your work may include: Developing theoretical and computational models of complex mobility systems Studying how people and networks adapt to disruptions Contributing to dynamic synthetic populations and agent-based simulations Applying complex systems, network science, resilience, or computational social science methods Analysing mobility, demographic, land-use, transport network, or other urban data Developing indicators for accessibility loss, unmet mobility needs, recovery, vulnerability, and equity Publishing in international journals and presenting at conferences Contributing to open and reproducible research workflows The position may also include departmental duties, such as teaching, up to the level allowed by Chalmers’ doctoral employment rules. Contract terms   The Doctoral student positions are fully funded from start.  The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years.  A starting salary of 35,725 SEK per month (valid from May 1, 2026).  Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn.  What we offer  Read more about what we offer at www.chalmers.se    Application procedure  Read more and apply at www.chalmers.se   We welcome your application no later than 2026-08-11 Shortlisting is planned for late August, with first interviews expected around 1 September. For questions, please contact:   Sonia Yeh, Professor, Department of Environmental and Energy Sciences. Email: sonia.yeh@chalmers.se, 031-772-67 16 We look forward to your application!  *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

Har du ett brinnande intresse för samhällsplanering och vill vara med och utveckla Karlsborgs kommuns framtid? Då kan tjänsten som GIS-ingenjör vara din nästa utmaning! Arbetsplatsen Samhällsbyggnadsförvaltningen har en verksamhet med en stor spännvidd innehållande enheterna gata/park, vatten- och avlopp, plan- och bygg, fastighet, kost samt lokalvård.Just nu pågår mycket spännande utveckling i vår kommun och vår organisation. Tjänsten är placerad på samhällsbyggnadsförvaltningens plan- och byggenhet. Arbetet styrs av byggnadsnämnden, som även är trafiknämnd, med ansvar för fysisk planering, bygglov och kart- verksamhet. Som medarbetare hos oss är du vår viktigaste tillgång och vi vill erbjuda dig fler förmåner utöver din lön. Ta gärna del av dem på vår hemsida. Se även länkningen till vårt Instagramkonto samt film om vår arbetsplats nedan för att få en inblick i vår vardag.  Arbetsuppgifter Som GIS-ingenjör arbetar du genom hela samhällsbyggnadsprocessen – från planering och projektering till byggnation samt drift och förvaltning. Du ansvarar för kommunens arbete inom mätning, kartproduktion, geodata och GIS-system. Mätningar utförs med hjälp av GPS och du tar fram nybyggnadskartor, grundkartor till detaljplaner samt andra kartunderlag som används i samhällsbyggnadsprocessen. I arbetsuppgifterna ingår även att administrera adresser och lägenhetsregister, uppdatera baskartan samt säkerställa att kommunens geodata håller hög kvalitet. Du ansvarar även för kommunens digitala kartverktyg och fungerar som en specialist inom GIS och geodata. Rollen innebär nära samarbete med kollegor inom den egna organisationen samt med andra myndigheter, kommuner och externa aktörer, exempelvis byggföretag och konsulter. Du ger även stöd och utbildning till kommunens användare av GIS-systemen. Kvalifikationer Vi söker dig som har en högskole- eller universitetsutbildning inom lantmäteriteknik och GIS, eller annan utbildning och erfarenhet som arbetsgivaren bedömer som likvärdig. Du har goda kunskaper om GIS-system och ett stort intresse för att hantera, analysera och utveckla geografisk information samt databaser. Erfarenhet av kommunal verksamhet och/eller arbete inom lantmäteri är meriterande. Du har ett stort intresse för digitala verktyg och samhällsbyggnadsfrågor. Som person är du strukturerad, ansvarstagande och har förmåga att planera ditt arbete självständigt. Du är initiativrik, serviceinriktad och trivs med att samarbeta med andra. Vi värdesätter också att du har en god kommunikativ förmåga och kan uttrycka dig tydligt i både tal och skrift. Lönen för tjänsten ligger inom intervallet cirka 38 000–48 000 kronor per månad, beroende på erfarenhet och kompetens. Individuell lönesättning tillämpas. Vi lägger stor vikt vid dina personliga egenskaper och din lämplighet för tjänsten. Övrigt Karlsborgs kommun använder sig av rekryteringsverktyget Varbi för att hantera ansökningar, vilket också är ett led i att kvalitetssäkra vår rekryteringsprocess. Du söker jobbet genom länken i annonsen.  Intervjuer kan komma att ske fortlöpande under rekryteringsprocessen.  Vid önskan om facklig kontakt, finns kontaktuppgifter på kommunens hemsida.  Du som funderar på att söka tjänsten är varmt välkommen att höra av dig till oss, men vi undanber oss kontakt från försäljnings- och rekryteringsbolag.  Karlsborgs kommun som arbetsgivare Karlsborgs kommun med sina ca 7 000 invånare hälsar dig välkommen till en fantastisk boendemiljö och rika rekreationsmöjligheter! Karlsborg är den lilla kommunen med det storslagna läget vid Vätterns strand. Det fantastiska landskapet, närheten till Tivedens skogar tillsammans med sjöarna och vattendragen ger Karlsborg dess alldeles unika prägel - En guldplats helt enkelt, vilket du kan ta del av via film här Hos arbetsgivaren Karlsborgs kommun är det viktigt att varje medarbetare kan känna stolthet över sin insats och sin verksamhet. Det tror vi bland annat skapas genom att ge alla möjlighet att utvecklas, lära nytt och medverka i förbättrings- och utvecklingsarbetet.  Det finns bra pendlingsmöjligheter till och från bl a Skövde, för dig som inte är redo att flytta hit än. Kommunen har ungefär 550 anställda. Kika gärna in och ta del av vår vardag på vårt Instagramkonto