Sökresultat för "Machine operation"

Prima Bemanning söker nu en Sorteringsmaskinist/Miljöarbetare till en av våra största kunder i Rosersberg. Detta är en spännande möjlighet med stor chans till anställning direkt hos kunden efter en tids inhyrning. Arbetsuppgifter Sortering och hantering av olika material. Köra sorteringsmaskin och bidra till en säker och effektiv arbetsplats. Övriga arbetsuppgifter inom återvinning och miljöarbete. Vi söker dig som Är arbetsvillig, ansvarstagande och trivs med fysiskt arbete. Har erfarenhet av maskinkörning, gärna inom återvinning eller entreprenad. Det är meriterande om du har erfarenhet av att köra maskin med rotortilt och grip. Arbetstider Varannan vecka: 06:00–15:00 Varannan vecka: 09:00–18:00 Vi erbjuder Arbete hos en välkänd och stabil kund. Trevlig arbetsmiljö och engagerade kollegor. Goda utvecklingsmöjligheter. Stor möjlighet till övertagande och anställning hos kunden. Låter detta som något för dig? Skicka in din ansökan redan idag – urval sker löpande!

Är du tekniskt intresserad och trivs i en produktionsmiljö där kvalitet, noggrannhet och samarbete står i fokus? Nu söker vi en maskinoperatör till en väletablerad produktionsverksamhet i Malmö. Här blir du en del av ett engagerat team där du arbetar med moderna produktionsmaskiner och bidrar till en effektiv produktion med hög kvalitet. Vi värdesätter din vilja att lära Du behöver inte ha erfarenhet från just den här branschen. Har du erfarenhet som maskinoperatör eller från annan tillverkande industri, ett tekniskt intresse och rätt inställning ser vi till att du får en gedigen introduktion och de verktyg du behöver för att lyckas i rollen. Dina arbetsuppgifter Som maskinoperatör kommer du bland annat att: Ställa in, starta och övervaka produktionsmaskiner. Säkerställa att produktionen håller hög kvalitet enligt uppsatta krav. Utföra löpande kvalitetskontroller och dokumentation. Felsöka och åtgärda enklare driftstörningar. Genomföra enklare underhåll och rengöring av maskiner. Bidra till ordning, säkerhet och ständiga förbättringar i produktionen. Vi söker dig som Har erfarenhet som maskinoperatör eller från annan tillverkande industri. Har ett tekniskt intresse och trivs med att arbeta praktiskt. Har goda kunskaper i svenska, både i tal och skrift. Har grundläggande datorvana. Meriterande: Erfarenhet från tryckeri eller annan processindustri. Vem är du? För att trivas i rollen tror vi att du är en ansvarstagande person med ett öga för kvalitet. Du arbetar noggrant och strukturerat och har lätt för att hålla fokus även när tempot är högt. Du är tekniskt nyfiken och tycker om att förstå hur maskiner fungerar. När utmaningar uppstår arbetar du metodiskt och lösningsorienterat för att hitta den bästa vägen framåt. Vi tror också att du är en lagspelare som bidrar med en positiv inställning och gärna samarbetar med dina kollegor. Samtidigt är du självgående och tar egna initiativ när situationen kräver det. Vi erbjuder En långsiktig tjänst hos ett stabilt och växande företag. En gedigen introduktion och upplärning i våra maskiner och arbetsprocesser. En modern produktionsmiljö med engagerade kollegor. Möjlighet att utvecklas inom produktion och teknik. Övrig information Placering: Malmö Omfattning: Heltid Arbetstid: 2-skift Start: Enligt överenskommelse Urval sker löpande, så vänta inte med din ansökan. Välkommen med din ansökan redan idag – vi ser fram emot att höra från dig! För resor till och från arbetsplatsen krävs körkort och tillgång till bil. Ansökan Varmt välkommen med din ansökan via ansökningslänk nedan! Ansökningarna behandlas löpande och konfidentiellt. Observera att vi ej har möjlighet att behandla ansökningar som inkommer via mail eller andra kanaler. Vid frågor om tjänsten når du oss under vardagar, kl. 08-17 på 042-21 02 99. Läs gärna mer om oss på www.processbemanning.se. Om Processbemanning Processbemanning AB är ett nischat rekryterings- och bemanningsföretag. Med kontor i Göteborg och huvudkontor i Helsingborg genomför vi uppdrag i hela Skåne och Västra Götaland. Som rekryteringskonsulter har vi flera års erfarenhet av rekrytering och bemanning. Genom vår metodik och vårt breda branschnätverk kan vi erbjuda dig som arbetsgivare kvalificerade personallösningar på såväl kollektiv- som tjänstemannasidan. Som anställd hos oss har du en trygg anställning med kollektivavtal i ett auktoriserat bemanningsföretag. Vi har ett stort antal uppdragsgivare i Skåne vilket ger oss stora möjligheter att matcha just din kompetens och profil mot lediga uppdrag. Läs mer om oss på www.processbemanning.se

Fortifikationsverket söker en fastighetstekniker till Gotland. Region Östs verksamhet utförs i Stockholm och Gotlands län och denna tjänst finns i driftdistriktet Gotland och har ett geografiskt område som täcker hela ön. Är du nyfiken, gillar att lära sig nya saker och lösa problem, är driven och serviceinriktad person som vill jobba med ett annorlunda fastighetsbestånd? Tycker du om att möta människor och att samarbeta? Läs vidare och se om det är dig vi behöver. Fortifikationsverket är en statlig myndighet och vårt uppdrag är att se till att det finns säkra fastigheter och vägar för att vi ska kunna skydda Sverige i händelse av kris eller krig. Våra hyresgäster är Försvarsmakten och olika statliga- och försvarsnära myndigheter. Vårt fastighetsbestånd är brett och består av många olika typer av fastigheter och övnings- och skjutfältsområden. Din vardag – bidra till totalförsvaret   Region Östs verksamhet utförs i Stockholm och Gotlands län och denna tjänst finns i driftdistriktet Gotland och har ett geografiskt område som täcker hela Gotland. Nu söker vi ytterligare fastighetstekniker med inriktning väg, mark och park. Du kommer att utföra tillsyn och skötsel på vägar, planer och anordningar inom övnings- och skjutfält. Du arbetar med en blandning av maskinkörning och handarbete exempelvis redskap, röjsåg och motorsåg samt administrativa uppgifter. Du kommer även att arbeta med felavhjälpande och planerat underhåll och tilläggstjänster samtidigt som du tillsammans med gruppen utvecklar och förbättrar arbetssätt och rutiner. Arbetet innebär många kund- och entreprenörskontakter, du arbetar säkert och effektivt, både självständigt och i grupp.   Kvalifikationer   Vi söker dig som har utbildning på lägst gymnasienivå. Du har även körkort BE och har maskinutbildning inom redskapsbärare, motorsågskort samt röjsåg. Vidare har du goda datakunskaper och kan självständigt arbeta i administrativa IT-stödsystem. Körkort klass B är ett krav.    Det är meriterande om du har körkort C, CE, förarbevis för hjullastare, grävmaskin eller  behörighet för växtskyddsmedel eller arbete på väg. Det är även meriterande med kunskap om något eller flera av följande: svets- eller reparationer, vana att utföra grusvägsunderhåll, beställarvana mot entreprenad, skyliftsutbildning och kunskap om Trafikverkets vägunderhåll. Vi kommer att lägga stor vikt vid personliga egenskaper. För att lyckas i rollen som fastighetstekniker vet vi att du behöver ha god samarbetsförmåga och ett kommunikativt arbetssätt. Du är strukturerad och kan snabbt hitta lösningar på uppkomna problem. Du kan också hantera stress på ett konstruktivt sätt. Vad erbjuder vi dig?   Tillsammans med ca 1500 trevliga och professionella kollegor runt om i landet jobbar du med ett unikt fastighetsbestånd för att stärka totalförsvaret i Sverige. Vi är stolta över det samhällsviktiga uppdrag vi har där vi bygger, förvaltar, driftar och utvecklar avancerad teknologi i samhällsviktiga byggnader. Våra arbetsuppgifter är omväxlande, spännande och utmanande och kräver sin kompetens. Vi arbetar enligt den statliga värdegrunden och dess principer och vi eftersträvar jämn könsfördelning. Lika rättigheter och möjligheter är viktigt för oss. Här får du goda möjligheter till kompetensutveckling och vi jobbar också för att du ska kunna ha en bra balans mellan arbete och fritid. Läs mer om vårt erbjudande på vår hemsida.   Om anställningen   Tjänsten är en tillsvidareanställning och kan komma att inledas med provanställning. Som tillsvidareanställd kommer du att krigsplaceras. Placeringsort är Gotland. En anställning hos oss kräver svenskt medborgarskap och innebär placering i säkerhetsklass. Säkerhetsprövning med registerkontroll kommer att genomföras innan anställning i enlighet med 3 kap i säkerhetsskyddslagen. Vi välkomnar sökanden med olika bakgrund och erfarenheter.    Välkommen att skicka in din ansökan med CV senast den 16 augusti 2026. Vi har valt att inte efterfråga personligt brev då vi istället använder CV och urvalsfrågor som ligger till grund för det första urvalet vi gör. Vi vill ha din ansökan på svenska. Tester och arbetsprov kan komma att användas under rekryteringsprocessen. Dina personuppgifter kommer att behandlas enligt dataskyddsförordningen. Din ansökan är en allmän handling och är som sådan offentlig handling enligt offentlighetsprincipen. Om du har skyddade personuppgifter: kontakta aktuell rekryteringsspecialist så får du hjälp med att skicka in din ansökan.    Frågor kring tjänsten   Välkommen att kontakta rekryterande chef Christer Hallin 010-44 44 444 eller rekryteringsspecialist Louisa Björklund 010-44 45 804 Det går även bra att kontakta våra fackliga representanter: Eric Bergman, Ledarna, Tommy Eriksson, SEKO, Karin Alm, SACO, de nås via vår växel, tfn 010-44 44 000.   Samtal från externa rekryteringsföretag och säljare undanbedes.

Om rollen Vill du arbeta i en roll där du får kombinera maskinkörning, ansvar och utveckling? Här får du chansen att växa in i jobbet och bli en självgående operatör och lastmaskinförare. Du arbetar i en produktion som exporterar sina produkter världen över, och du får en gedigen upplärning för att känna dig trygg i dina arbetsuppgifter. I din roll kommer du att vara en viktig del av produktionen och bidra till att arbetet flyter på. Du får en varierad vardag där du hanterar både lastmaskin och motviktstruck och arbetar med flera moment i produktionsflödet. Du kommer bland annat att Köra lastmaskin och motviktstruck Delta i olika arbetsmoment inom produktionen Arbeta nära interna beställare och vara en viktig del av samarbetet Bidra till säkerhet, kvalitet och goda rutiner i fabriken Arbetstiderna är främst förlagda på 2-skift, medan upplärningen sker på dagtid. Tjänsten är på heltid med start enligt överenskommelse. Kompetenskraven är B-körkort Lastmaskinskort (C2) Truckkort (B1) Erfarenhet av att köra hjullastare och motvikstruck Behärskar det svenska språket i tal och skrift Detta är även meriterande Gedigen industrivana Vem passar i rollen? Du som trivs här är nyfiken, ansvarstagande och tycker om att utvecklas. Du har en naturlig känsla för service och bemötande, då du dagligen möter personer internt i verksamheten. Du fungerar bra i team och är flexibel när arbetsdagen varierar. Dina personliga drivkrafter är av stor vikt för oss på Jobwise 💪 Du är varmt välkommen att ansöka utan CV, men för att vi ska kunna behandla din ansökan behöver du komplettera med det i efterhand. Vi på Jobwise strävar efter att skapa en bättre tillvaro för alla som går till ett jobb! Som anställd på Jobwise så får du inte bara en attraktiv anställning där du omfattas av kollektivavtal 🤝 och schyssta villkor. Du blir även en del av Jobwise-gemenskapen som består av engagerade ledare med lång erfarenhet från branschen. Din chef kommer vara ditt personliga bollplank och kommer finnas där för dig när du behöver det. Med den filosofin ska vi skapa det bästa bemanningsföretaget i världen. Utöver det så är vi ett av de bemannings och rekryteringsföretag som erbjuder kunder och anställda de senaste digitala lösningarna.⚡️ Vi erbjuder dig Möjligheten att vara med i ett team med engagerade medarbetare och ledare Bra utvecklingsmöjligheter för den som vill En bra relation med en omtänksam chef En trygg anställning där du självklart omfattas av kollektivavtal

Company description: At NKT in Karlskrona, we develop and manufacture high voltage power cables that enable the transition to renewable energy. Here, you will be part of an international engineering centre with advanced high voltage test halls, modern cable production and the cable laying vessel NKT Victoria. As Connectors, we collaborate to develop innovative technology that connects a greener and more sustainable world. NKT is headquartered in Denmark and operates in more than 30 countries.NKT - We connect a greener world. www.NKT.com. Job description:Är du en strukturerad och engagerad person som vill arbeta som maskinoperatör i en växande industriverksamhet? Nu söker vi maskinoperatörer inom lastning och omspolning till vår verksamhet i Karlskrona, där du får arbeta med avancerade kabelprocesser såsom lastning, omspolning och produktion i våra OS maskiner. Rollen är en viktig del av vår expansionsresa och du blir en del av ett engagerat team med stort engagemang och fokus på kvalitet. Hos oss får du kombinera tekniskt arbete med utvecklingsmöjligheter i en global organisation som bidrar till den gröna omställningen. Vill du vara med och säkerställa hög kvalitet i en produktion där varje moment räknas?   Arbeta med avancerade maskiner I rollen som maskinoperatör arbetar du med vår produktion inom kabeltillverkning, där du hanterar och övervakar maskiner såsom OS 70/60 samt utrustning för lastning och omspolning. Du ansvarar för att säkerställa ett effektivt och säkert produktionsflöde, med fokus på kvalitet och noggrannhet. Arbetet innebär både operativt maskinarbete och visst systemstöd i våra IT system, exempelvis MES, där du registrerar och följer upp operationer. Du blir en viktig del av ett team där samarbete, struktur och utveckling står i fokus.   I rollen ingår även följande ansvarsområden: Köra och övervaka OS60/70 & Dollybase  Arbeta med lastning på diverse positioner Säkerställa kvalitet i våra områden Registrera data i MES och stämpla operationer Bidra till ordning, struktur och förbättringsarbete   Tjänsten är placerad i Karlskrona och innebär arbete i 5 skift. Du blir en del av ett engagerat team och rapporterar till närmaste produktionsledare.   Kvalitet i varje moment   Som person är du engagerad, noggrann och trivs i en produktionsmiljö där struktur är viktig. Du motiveras av att arbeta i team och bidrar med en lösningsorienterad inställning samt intresse för att utvecklas i din roll. Du har ett praktiskt handlag och uppskattar att arbeta med maskiner, samtidigt som du har en förståelse för vikten av kvalitet och säkerhet.   Dessutom har du: Erfarenhet av arbete inom kabel- eller industriproduktion Grundläggande teknisk förståelse för maskiner och processer Erfarenhet av skiftarbete Grundläggande IT kunskaper, exempelvis MES eller liknande system Förmåga att arbeta strukturerat och följa instruktioner Erfarenhet av lödning eller hjullastare   Bidra till effektivitet och hållbarhet På NKT värdesätter vi olika perspektiv och erfarenheter. Vi är övertygade om att mångfald främjar kreativitet och att en inkluderande arbetsmiljö skapar möjligheter för alla att blomstra. Du får möjlighet att utveckla dina färdigheter, samarbeta med engagerade kollegor och bidra till den gröna omställningen.Hos oss får du arbeta i en internationell miljö med tydligt fokus på utveckling och förbättring. Vi erbjuder goda möjligheter att växa inom verksamheten, både tekniskt och yrkesmässigt, samtidigt som du bidrar till en viktig del av framtidens energilösningar. Vi går igenom ansökningar löpande, men vi rekommenderar att du skickar in din ansökan senast den 31 juli 2026. Utdrag ur belastningsregistret, alkohol- och drogtester, medicinska tester samt personlighetstester ingår i vår rekryteringsprocess.   Observera att svarstiderna kan vara längre än vanligt under sommarperioden.  Vänligen notera att vi med anledning av GDPR inte kan ta emot några ansökningar via e-post.   Fackliga representanter IF Metall - Marcus Degerskär, +46 455 753 52 Välkommen med din ansökan!

Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Fall 2026. Project description The focus of the doctoral project is explainable machine learning for neuromorphic computing for predictive materials discovery. The doctoral student will be part of a larger project Brain-inspired AI Design of Topological Magnets for Sustainable Computing. The five-year project is a WASP-WISE-funded collaboration with research groups at Uppsala University and KTH for designing sustainable magnetic materials. The doctoral student will also be part of the Wallenberg AI, Autonomous Systems and Software Programme (WASP) and graduate school. WASP is Sweden’s largest individual research programme ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The programme addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious programme with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between doctoral students, researchers, and industry. Read more: https://wasp-sweden.org/graduate-school/ The programme and the doctoral studentship The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study. Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking. The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme, which corresponds to four years of full-time study. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook (https://www.oru.se/globalassets/oru-en/education/research-education/regelhandbok-for-utbildning-pa-forskarniva_en.pdf). The initial salary for a doctoral studentship is SEK 32,300 a month. Entry requirements and selection To see the job advertisement in its entirety, visit: https://www.oru.se/english/career/available-positions/job/?jid=20260203 Information For more information about the programme and the doctoral studentship, contact Dr. Stephanie Lowry, email: stephanie.lowry@oru.se, or Dr. Denis Kleyko, email: denis.kleyko@oru.se. For administration issues, contact Head of unit Martin Magnusson, email: martin.magnusson@oru.se. At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach. Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust and respect. We value the qualities that diversity adds to our operations. Application to the programme and for the doctoral studentship The application is made online. Click the button “Apply” to begin the application procedure. For the application to be complete, the following electronic documents must be included: CV Proof that you meet the general and specific entry requirements (copies of the original certificate and official transcript for Bachelor's and Master's degrees) Independent project (degree project) Other relevant documents, course and degree certificates verifying eligibility Description of research interests (1-2 pages) - describing your research interests, explaining why you are interested in this project, and why you would be a good fit for the position. As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorized translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), http://www.kammarkollegiet.se/engelska/start. When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external-experts/ The application deadline is August 21, 2026. We look forward to receiving your application! As we have already made our choices in terms of external collaboration partners and marketing efforts for this recruitment process, we decline any contact with recruitment agencies and advertisers. As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

Job Scope High level purpose of function. A Vision Automation Engineer in a cell manufacturing company plays a key role in developing, optimizing, reverse-engineering, and maintaining machine vision and optical inspection systems to ensure safe, reliable, and efficient operations. They are responsible for programming, troubleshooting, and improving cameras, lighting configurations, and image processing algorithms, supporting both legacy production line re-commissioning and new vision system installations. The role also includes ensuring accurate data transfer, system connectivity, and smooth communication with PLCs, SCADA, and upper-level MES platforms to enable inline defect traceability, dimensional inspection, and digital integration. Close collaboration with production, engineering, and maintenance teams is required to identify and implement solutions that improve quality, throughput, and equipment uptime. A strong focus is placed on continuous improvement, safety, and scalability to meet the growing demand for electric vehicle battery production. Key Responsibilities Overall areas of responsibilities and activities Key responsibilities include (but are not limited to) Participate in HAZOP sessions and ensure compliance with process safety, operational safety, and environmental standards relating to equipment control and programming. Responsible for the FATs of the equipment (Project timeline dependent). Lead vision system integration and optical calibration during equipment commissioning and line re-starts (Project timeline dependent). Develop and reverse-engineer the vision inspection systems to be implemented in the production and logistics equipment in the factory, as well as the relevant specifications and documentation. Author and review engineering design documentation (Specifications, Functional design, Logic diagrams, Test Cases, Test Records). Train and mentor new engineers, and educate other support functions on machine vision, optics, and quality inspection gates. Code review and test of suppliers' vision software and algorithmic work within the projects to validate specified defect detection thresholds (Gauge R&R) and to ensure the quality and reliability of the data transferred from the equipment to the upper-level systems. Participate in R&D activities for piloting of new technologies and their suitability to production environments. Define and improve the factory blueprint, general specifications and ways of working in collaboration with the extended automation and digitalization teams. (Project timeline dependent). Contribute to technical improvements, development and optimization of software processes internally in the automation team The role requires regular presence on the production floor, with a minimum of approximately 25% of working hours spent on-site. Depending on project needs (such as line re-commissioning), there may be periods where up to 100% of working hours are required on the shop floor. Develop and maintain machine vision and image processing programming standards. Guide and mentor colleagues to industrial best practices, focussing on growth and development. Complete supplementary tasks as seen fit by management to effectively utilize time and resource for the benefit of the business. Requirements Educational background and previous experience required for the role Qualifications and Experience Bachelors Degree in Electronics, Mechatronics, Electrical, Automation, Robotics, Software Engineering or similar. Minimum of 3 years of relevant work experience within Industrial Automation in process-driven or discrete manufacturing industries such as: Battery Cell, Automotive, Chemical, Paper, Semiconductors, Pharma, Food, Warehouses, etc. Experience of working with industrial camera systems, optical components, and lighting techniques, including the selection, configuration, and calibration of camera hardware for manufacturing inspection and process control applications Experience in the design, configuration, and deployment of machine vision systems including cameras, lighting, and vision software platforms such as Cognex, Halcon, or equivalent, with experience integrating vision outputs into PLC, SCADA, and MES environments via OPC connectivity. Experience developing and optimising image processing pipelines and vision algorithms for applications such as defect detection, pattern recognition, and dimensional verification, with familiarity with industrial communication protocols for vision system integration. Experience in writing technical documentation including inspection requirement specifications, algorithm validation reports, vision system configuration records, functional design, UML, test cases, and test records. Experience with image processing software and programming tools relevant to industrial vision applications, such as Python, C++, OpenCV, or equivalent vision libraries, with the ability to develop, test, and optimise vision algorithms for real-time manufacturing environments Experienced continuous improvement and root cause analysis. Specific skills Strong knowledge of mechanical, electrical, hydraulic, and pneumatic systems. Knowledge of cybersecurity best practices for manufacturing systems. Troubleshooting skills with diagnostic equipment. Ability to document technical problems concisely. Excellent English skills, both written and oral, are essential. Basic Swedish and other language skills are a plus. You should have good communication skills and be able to work in close collaboration with colleagues from many different teams. Ability to work within varying environments including clean-rooms and dry-rooms, while wearing appropriate PPE. Comfortable operating in high-profile, international, and high-pressure environments. A genuine technical interest and passion about working within production is highly valued.

Forecasting only creates value when the business trusts it and acts on it - and that trust is built out in the operation, in conversations with the people planning volumes, routes, and staffing every day. We're strengthening our Forecasting team and looking for a Product Owner to own that bridge between the team and the business, and to help a talented group of specialists turn deep technical work into real operational impact. You'll own the what and the why - vision, roadmap, priorities, and value - working alongside a Tech Lead who owns the how. And as much as you'll shape the backlog, you'll shape the team: you're a natural coach who creates focus, clears the path, and helps skilled people grow their product and stakeholder instincts so they can do their best work. Join us The Technology Acceleration area within Group IT is responsible for establishing the future IT landscape - the foundation for PostNord's continued AI- and data-driven journey. In the Forecasting team you'll be the connective tissue between deep machine learning capability and the operational decisions it exists to support, across logistics domains such as volumes, routing, and staffing. Job duties Own and communicate a clear product vision and roadmap for forecasting - grounded in business value. Spend real time out in the operation: build relationships across logistics business units, understand how planning decisions are actually made, and bring that context back to the team. Be the trusted face of the team to the business - manage expectations, communicate progress and trade-offs honestly, and build demand and adoption for what forecasting can do. Translate operational challenges into a prioritised, well-shaped backlog the team can act on with confidence. Coach and support the team - create focus, remove obstacles, shield them from noise, and help colleagues develop their product thinking and stakeholder skills. Define what "good" looks like: connect forecasting work to decision quality, trust, and measurable business outcomes. Partner closely with the Tech Lead and Senior Data Scientists to balance ambition with what's realistically deliverable. Solid experience as a Product Owner or Product Manager, ideally for data, analytics, or other decision-support products. A proven coach and team builder - you lead through influence and clarity, and you bring the best out of skilled people without relying on authority. Strong stakeholder and relationship skills, and the energy and confidence to spend much of your time out in the business rather than behind a desk. The ability to translate fluently between business needs and technical reality, in both directions. Comfort with how data science and forecasting actually work - you don't need to build models, but you understand uncertainty, iteration, and why these products behave differently from standard software. Strong prioritisation and communication skills. Meritorious experience Background in logistics, supply chain, or operational planning. Experience owning analytics, ML, or forecasting products. Familiarity with Databricks and Azure environments. A track record of growing the product and delivery maturity of a technical team. Agile or lean delivery experience. Language requirement Fluent English in speech and writing. Because so much of this role is spent face to face with the Nordic business, proficiency in at least one Scandinavian language is strongly meritorious. Why this role matters Forecasting sits at the core of how PostNord plans and runs its network. The difference between a model and a measurable impact is adoption - and adoption is your job. You'll be the reason the business understands, trusts, and acts on what the team builds, and the reason a strong team keeps getting stronger. Your profile You're an experienced product person who leads through people. You get your energy from being out in the business, listening hard, and turning what you hear into clear direction. You're a coach at heart - you create focus and momentum, and you help others grow rather than doing everything yourself. You hold a firm line on priorities while keeping the team motivated and protected from distraction. You're pragmatic, trusted, and equally at home in an operational planning meeting and a technical refinement session. Most of all, you want to help build something stronger: a high-performing forecasting team whose work the whole organisation relies on. We offer A central, high-visibility role connecting your team to the heart of the business A cutting-edge analytics environment built on Databricks and Azure A central role in accelerating PostNord's AI- and data-driven journey Apply Welcome to submit your application! We encourage you to apply as soon as possible, as we review applications on an ongoing basis. Please note that due to the summer holiday period, the earliest feedback will be provided in mid-August. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

A Snapshot of Your Day Imagine starting your day by diving into operational data from our gas turbines, providing crucial technical support and recommendations. In the morning, you might collaborate with a colleague from the Remote Diagnostic team to assess an alarm that could impact the unit’s reliability. By afternoon, you’ll be actively participating in a Root Cause Analysis (RCA) workshop, brainstorming potential hypotheses to uncover the root cause of an issue. Every day brings new challenges and opportunities to make a significant impact. We welcome both recent graduates and those with a couple years of experience in similar roles! How You’ll Make an Impact Provide performance calculations and evaluation for gas turbines. Analyze operational data to make conclusions about the status and possible deviations of the units. Serve as the primary contact for our service organization for customer questions and technical support within the performance area. Be part in developing new methods for evaluation and proactive fleet monitoring based on digital twin models and machine data. Collaborate closely with our performance office within R&D development, fostering a strong partnership. What You Bring A technical degree (Bachelor or Master of Science) or corresponding knowledge from previous work experience. Good analytic skills and a systematic approach to problem-solving. As a person, you are responsible, and service minded. Previous experience and knowledge from thermodynamics and gas turbine theory / performance are a plus but not a requirement. Ability to independently manage technical questions while also thriving in team settings, collaborating with a diverse network of professionals. Good communication skills in English, and preferably Swedish, both written and verbally. About the Team  Join our dynamic Product Support Team as we expand to accommodate our growing gas turbine fleet. We are dedicated to providing both proactive and reactive support, ensuring high product reliability and customer satisfaction throughout the product lifecycle. Our team consists of individuals with extensive experience in gas turbines, fostering an environment of open dialogue and mutual support to deliver reliable solutions for our customers. Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet. We can offer you employment benefits such as: reduction of working hours, advance vacation, health care allowance and an eventual possibility to a flexible working place. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.    Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.    Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Application Don’t hesitate – apply via https://jobs.siemens-energy.com/en_US/jobs  or https://siemensenergy.avature.net/internalcareers , id nr 295037 not later than 2026-07-06. Ongoing selection is applied, the role might be filled before last application date. We refrain from all contact with staffing and recruitment companies, or advertising brokers. Location: Finspång Trade Union Representatives: Unionen, unionen.finspang.se@siemens-energy.com Sveriges Ingenjörer & SACO,  asi.se@siemens-energy.com Ledarna, Anders Fors, anders.fors@siemens-energy.com IF Metall, Mikael Malmgren, mikael.malmgren@siemens-energy.com

At Combitech in Stockholm, we are looking for a senior AI systems Architect who wants to shape how advanced AI solutions are designed, integrated, and brought into production. This is a role for someone who thrives in complex technical environments, enjoys taking architectural responsibility, and seeks real influence over both customer assignments and internal strategic initiatives. With Saab as our owner, we offer a unique combination of innovation, long-term stability, and the opportunity to contribute to secure, sustainable technology for society. We are looking for a senior technical leader who can make AI work in production by establishing the architecture, platforms, engineering practices, and delivery confidence needed for robust AI-enabled systems. You should be able to compare alternatives, reason through trade-offs, and make well-justified technical decisions across infrastructure, integration, security, scalability, maintainability, and ways of working. The Role Depending on the assignment, you will: Lead AI-enabled solutions from early architecture and requirements to integration, deployment, and long-term operation. Design technical foundations for production AI, including platform choices, CI/CD, MLOps/LLMOps, observability, governance, and security. Set direction for engineering practices, architecture decisions, documentation, and technical quality. Act as a trusted technical advisor to customers, translating complex needs into secure, scalable, and valuable solutions. Mentor colleagues and help elevate the technical maturity of our growing AI and software engineering community. Contribute to internal initiatives where your architecture experience can shape reusable capabilities, offerings, and ways of working. We Are Looking for Someone Who Has A relevant university degree or equivalent senior professional experience in software, systems architecture, AI, computer science, or a related technical field. 9+ years of software and systems architecture experience, with a proven ability to design and lead complex technical platforms. Ideally 5+ years of professional experience with AI or machine learning solutions, with a focus on deployment, integration, production readiness, and the practical realities of bringing AI into existing software environments. Strong judgement in systems design, trade-off analysis, platform selection, secure development, scalability, integration, maintainability, and long-term technical ownership. A genuine curiosity about where AI technology is heading, including areas such as agentic systems, MCP-based integrations, LLMOps, retrieval-augmented generation, AI governance, observability, and secure deployment patterns. The ability to apply hard-earned software and architecture experience to today's evolving AI landscape, combining proven engineering discipline with a modern understanding of how AI-enabled systems should and could be built, secured, and operated. Experience acting as technical lead, architect, or senior advisor in customer-facing or internal development initiatives. A collaborative leadership style with the ability to build networks, share knowledge, identify opportunities, and support others. As this position involves work subject to defence secrecy, you will be required to undergo and pass a security clearance, including a background check. Applications will be reviewed after the application deadline due to the summer holiday period. You can send us your application in either Swedish or English. We look forward to receiving your application! Make a difference together with us At Combitech, our employees are the key to building a smarter and more resilient society. We know that the full potential of today's technologies can only be realized when the right people are in the right place, putting them to use. We believe in the power of collective intelligence and experience - something that emerges when people with different skills and perspectives come together. That's why diversity and inclusion are priorities for us, as they are essential for increasing creativity, innovation, engagement, and wellbeing. Want to learn more about what it's like to work with us? Visit our careers pages! Contact person / Hiring manager: albin.boman (@) combitech.com We kindly decline offers of recruitment agency assistance.

The opportunity As we move toward working with increasingly complex systems, security becomes an essential aspect of our work. Therefore, we are looking for not one but two passionate IT/OT Security Engineers to join our team. We are embarking on a transformation journey to shift from delivering projects only to building modern, well‑defined product‑based systems. Our goal is to grow our cross‑functional team to eighteen members within a year, creating a dynamic environment where novel ideas and collaboration thrive. In this role, you’ll help create cutting‑edge solutions for platforms that integrate Information Technology (IT) and Operational Technology (OT) at HVDC. These platforms are the foundation our global project teams rely on. Your main focus will be securing the integration of IT with the OT domain, where Human–Machine Interfaces (HMIs), Gateway Stations (GWS), and communication protocols reside. With your expertise in security principles and your understanding of threats at the edge, you will help project teams develop and integrate security solutions that can serve as reusable frameworks while still meeting project‑specific requirements. These frameworks are essential for optimizing project effort and are mandatory for delivering the required functionality to our customers with the highest possible quality. You’ll document your solutions and support testing to ensure project teams are equipped with the correct and secure implementations when delivering to customers. Working at the intersection of IT and OT, you’ll tackle real challenges, build scalable services, and influence how we innovate and collaborate. If you’re motivated to think beyond frameworks, create smart and efficient solutions, and make a meaningful impact across the organization, this opportunity is for you. How you’ll make an impact Secure IT/OT platforms by implementing robust controls that protect HMI, GWS, and communication layers while ensuring safe and reliable operation. Develop reusable security frameworks that standardize solutions across projects while supporting project‑specific needs. Strengthen edge and infrastructure security by identifying threats and applying protective measures in distributed and industrial environments. Produce clear documentation and support testing so project teams can deploy secure and validated components. Configure and harden industrial communication protocols by applying best security practices e.g., authentication and authorization. Build and validate secure baselines, including hardened images, firewall rules, and configuration templates for IT/OT components. Your background Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience. Skilled in testing code and creating test cases for developed components. Knowledge of industrial communication protocols such as Modbus, IEC based protocols, SNMP, TCP/UDP, VLANs, and IPsec. Familiarity with SCADA, PLCs, HMIs, gateway devices, and other core OT components Hands on experience with security tools such as Firewalls, network monitoring tools, vulnerability scanners, packet analyzers, and endpoint hardening utilities. Understanding of security frameworks like ISO 27001, and related cybersecurity standards is a plus Strong documentation and communication skills to support cross functional engineering teams. What we offer Collective agreement Flexible working hours Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various training and education supporting employee development​ Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with thousands of discounts and perks More about us Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! The position might require a background check to be performed Recruiting Manager Zeinab Bakhshi, zeinab.bakhshivalojerdi@hitachienergy.com, will be happy to answer your questions regarding this position. Union representatives – Sveriges Ingenjörer: Mikael Hjort, +46 107-38 25 73; Ledarna: Frank Hollstedt, +46 107-38 70 43; Unionen: Fredrik Holmgren, +46 107-38 21 85. All other questions should be directed to Talent Partner Kevin Galloway kevin.galloway@hitachienergy.com.

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar. Your role Operational Excellence is a newly formed department consisting of three sections, one of which is BI & Digital Tools. You will be part of the Operational Excellence FCC Leadership Team and will play a key role in shaping the new department together with your fellow managers. As Manager, BI & Digital Tools, you will lead a high-performing team specializing in business intelligence, automation, and machine learning. The team consists of talented professionals who design and develop digital tools, methods, dashboards, reports, and predictive models. Its mission is to strengthen decision-making and transform the way we work by leveraging data, developing innovative digital solutions, and ensuring their successful implementation and continuous improvement. Your primary focus will be the managers and colleagues within Operations Stockholm, but you will also work closely with departments within Surveillance business units Fighter Core Capabilities as well as Business Area Surveillance Operational Excellence department. Your responsibilities in short: Manage the BI & Digital Tools team, ensuring high performance, engagement, and efficient ways of working. Drive the transformation towards a more data-driven organization by translating data into meaningful KPIs, insights, and decision support across the business. Develop, own, and execute the organization's data governance roadmap. Translate the Operational Excellence roadmap and strategic goals into actionable roadmaps and priorities for BI & Digital Tools. Partner and collaborate with the sister sections within Operational Excellence to ensure data and digital solutions are integral parts of business initiatives. Coach and develop your team, building capabilities and enabling employees to take on increasingly complex challenges. Empower your employees through value-based leadership. Develop efficient ways of working, implement best practices, and drive continuous improvement within your area. Act as a transformation and change leader, inspiring confidence and engagement in an evolving and agile business environment. Build, maintain and develop relations with all relevant stakeholders. Translating Saab, Surveillance and BU strategies into clear and well-communicated targets for your stakeholders Leading according to Saab´s organizational values. Full responsibility for results within your area, which includes safety and health, quality, delivery capacity, efficiency and finance. Your profile We are looking for a positive, curious, and self-driven leader who brings energy, structure, and a strategic mindset to create a collaborative and high-performing environment. You are a team player who actively contributes to shared objectives and business success. You are an inspiring and inclusive leader with the ability to recognize and develop each team member's strengths and potential. Through clear communication, strong values, and direction, you create commitment and successfully lead people through change. You thrive in transformation and complexity, combining strategic thinking with a pragmatic, hands-on approach to turn plans into action and deliver results. You are passionate about using data to improve ways of working, increase efficiency, and drive business performance. With an agile, innovative, and collaborative mindset, you challenge the status quo, navigate changing priorities, and build a culture of continuous improvement focused on delivering value with speed and quality. Required skills: Master of Science in Engineering or equivalent education and/or relevant professional experience. Demonstrated ability to combine strategic thinking with operational execution. Proven ability and genuine interest in leading, developing, and challenging organizations, management teams, and employees. Strong business acumen and customer focus. Pragmatic and action-oriented, with the ability to deliver business value through the right balance of structure, governance, and speed. Minimum two years' formal or informal leadership experience within a relevant area across Business intelligence, automation, Machine learning or similar. Strong communication skills and experience in leading transformation and change. Excellent verbal and written communication skills in Swedish and English. This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply. Kindly observe that this is an ongoing recruitment process and that the position might be filled before the closing date of the advertisement. What you will be a part of Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

ABOUT THE ROLE The Machine Learning Engineer will join a newly formed team focused on MLOps and ML Engineering within the data science team. This role is crucial for uplifting the existing ML infrastructure into a robust, scalable, and production-ready system, specifically supporting the increasing needs of the company. The engineer will design, build, and maintain the infrastructure, tools, and processes required for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of machine learning models. This is a highly technical role that will interface with data scientists, data engineers, data architects and software engineers to ensure the reliability and performance of ML systems at scale. YOU WILL BE RESPONSIBLE FOR: ● Designing, implementing, and maintaining scalable MLOps pipelines for model training, testing, deployment, and monitoring. ● Building and managing the cloud infrastructure to host and serve real-time and batch machine learning models. ● Establishing robust model monitoring (drift, performance, data quality) and alerting systems to ensure operational health of ML services. ● Assisting and collaborating with Data Scientists to ensure production readiness of models, focusing on code optimization for low latency and performance. ● Developing high-quality, reusable MLOps tooling and best practices to drive efficiency across the entire ML lifecycle. ● Driving automation initiatives to minimize manual intervention in model deployment and management. ● Troubleshooting production issues, performing root cause analysis, and implementing preventative measures for ML systems. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: Essentials ● Mid-senior level experience in a Machine Learning Engineer, MLOps Engineer, or similar role. ● Strong proficiency in Python for data and ML workflows and infrastructure automation tools (e.g. Terraform) for scalable infrastructure provisioning. ● Extensive experience with cloud platforms ( we work with GCP) for building and deploying ML systems. ● Deep understanding of containerization technologies and CI/CD pipelines. ● Solid experience with ML experiment tracking, model registry, and feature store platforms. ● Experience working with high volume, complex data architectures and real-time processing. ● Experience with SQL for data access and pipeline integration. ● A strong foundation in computer science fundamentals, software engineering best practices, and system design. Most importantly, we are looking for a continuous learning mindset and passion for researching and adopting the necessary technologies to solve complex MLOps and ML Engineering challenges. Nice To Have ● Experience working with Google Cloud Platform (GCP) services, particularly Vertex AI for training, deployment, and monitoring of ML models. ● Familiarity with building and deploying LLMs in production environments at scale. WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS ● Hybrid work policy ● 4 weeks of Workation (T&C apply) ● 30 annual vacation days ● Occupational Pension ● 5,000 SEK wellness contribution annually ● Parental Leave Top-Up ● Possibility to enrol in a private health care insurance for both you and your partner ● 1,500 SEK equipment allowance ● Benify - benefits portal with many offers and discounts In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**

At Lendo, we’re driven by a clear mission: to empower people to make smarter financial decisions. Our work directly impacts how users understand and navigate complex financial journeys, and we take that responsibility seriously. We build our success on a culture where we live by our core values: customer centric, win as a team, focus on execution, and always improve. We are convinced that it is diverse perspectives, differences, and a strong collective drive that allow us to continue evolving. We are always looking for colleagues who wants to grow together with us. About the role We are looking for a Data Scientist to drive business impact through machine learning. We have already created significant value from ML across several areas and see strong opportunities to apply it even more broadly, including marketing, conversion optimization, and operational decision-making. We are looking for a Data Scientist who has successfully created business impact with ML and is energized by delivering measurable results. What you will do Build, deploy, and improve machine learning models that drive measurable impact across domains such as marketing, conversion optimization, and operational efficiency. Design, analyze, and interpret experiments, causal analyses, and marketing mix models (MMM) to guide marketing investments. Be a trusted advisor within ML and partner with product, business, and engineering teams to translate problems into ML solutions. Ensure models deliver continuous business value. About you 3+ years of experience as a Data Scientist, with a track record of shopping models that created measurable business value. Strong modeling expertise with solid foundations in statistics and machine learning, and a clear understanding of when and how to apply different methods Experience designing and interpreting experiments and casual analyses Ability to work effectively with non-technical stakeholders.. Ability to take initiative and drive ML opportunities end-to-end, from problem framing to deployment and measurable business impact. Strong Python programming skills and comfort working in production environments. We believe great people do their best work when they’re trusted. That’s why we offer high autonomy, real ownership and clear accountability. You’ll help create measurable business impact through machine learning in a core growth area, while collaborating with a strong, supportive Data & ML team that values well-being, technical excellence and continuous improvement. You’ll work with a modern tech stack, including production ML systems and generative AI tools, supported by competitive compensation and a flexible hybrid setup. About the recruitment process As part of our recruitment process, we use psychometric testing through HI Assessments. We also perform a mandatory background check on all final candidates. We will always inform you as a candidate before the check is carried out. We look forward to your application!

Location: Stockholm, Sweden (Flexible/Hybrid) Employment Type: Full-time Language: English About Us We are a fast-growing IT consultancy dedicated to delivering cutting-edge expertise to industry-leading clients. Our mission is simple: empower organizations to build scalable, data-driven products that elevate user experience, optimize operations, and unlock business performance through modern AI and advanced analytics. As we scale, we are looking for a seasoned Senior AI & Data Scientist to join our elite team of experts and help shape the future of our AI offerings. The Role & Responsibilities As a Senior AI & Data Scientist, you will own the full AI lifecycle—from initial research and development to deployment and production monitoring. You will collaborate closely with product managers, engineers, and business stakeholders to turn complex data into competitive advantages. Key Responsibilities: Model Development: Design and deploy advanced Machine Learning models for business optimization, predictive analytics (forecasting/classification), and recommendation systems. Generative AI: Build next-generation, LLM-based applications utilizing RAG and Agentic AI architectures. Data & ML Ops: Design scalable ETL/feature engineering pipelines and build production-ready ML pipelines with CI/CD workflows. Deployment: Deploy and manage ML models efficiently using Docker and Kubernetes. Domain Solutions: Develop specialized AI solutions for fraud detection, risk analysis, and customer personalization. Strategic Impact: Analyze large-scale datasets to generate actionable business insights and actively contribute to our clients' long-term AI strategies. Required Qualifications To thrive in this role, you should bring a strong blend of theoretical knowledge and hands-on production experience. Education: Degree in Computer Science, Computer Engineering, Data Science, or a related quantitative field. Experience: 6–8+ years of professional experience in Data Science, Machine Learning, or AI Engineering. Core Tech: Exceptional programming skills in Python and strong proficiency in SQL. ML/Stats: Deep understanding of Machine Learning algorithms, statistical modeling, and predictive analytics. Cloud & Infrastructure: Hands-on experience with cloud platforms (GCP, AWS, or Azure) alongside Docker and Kubernetes. Data Engineering: Experience building production-grade ML pipelines and working with distributed data platforms like Databricks. Best Practices: Strong version control habits (Git) and experience with CI/CD pipelines. Soft Skills: Excellent English communication skills, with the ability to translate complex technical concepts for business stakeholders. Preferred Qualifications (Nice to Have) Experience with any of the following tools and concepts is considered a distinct advantage: GenAI Stack: LangChain, LlamaIndex, RAG architectures, and Agentic AI. MLOps Tools: MLflow, Kubeflow, Airflow, and Feature Stores. Data Tools: DBT, BigQuery, and real-time data processing frameworks. Specialized Analytics: A/B testing, customer analytics, and fraud detection. What We Offer Compensation: Salary plus a very attractive bonus package based on performance. Flexibility: A flexible working environment that supports a healthy work-life balance. Impact: A direct opportunity to shape the AI strategy for major global brands. Culture: A vibrant, collaborative, and international team environment. Growth: Structured professional development opportunities and clear paths for long-term career progression.

Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. The Department of Engineering Sciences and Mathematics carries out research in areas such as wood, composites, metals, mechanics, and energy. Our engineering programs include Sustainable Energy Engineering and Mechanical Engineering. We have an international program in Materials Engineering, and among our newer programs is the Bachelor of Science in Power Engineering. The strong cooperation with industry provides students with an opportunity to work on real project tasks in their education. We are currently seeking a PhD-student that can help us to further develop research within the field of Machine Elements. The main aim of this PhD student position is to strengthen the newly started research on Triboelectrictive nanogenerator (TENG)-based smart lubrication in Machine Elements. Besides courses, the student will mainly carry out experimental work. The department has about 300 employees and conducts research in 17 research subjects and seven centers of excellence. You can find us at campus in Luleå, Skellefteå and we are also responsible for the research at Green Fuels in Piteå. Subject description Machine Elements comprises the analysis and optimisation of machine components and component systems in order to enhance performance, longevity, energy-efficiency, reliability and sustainability. Particular emphasis is placed on issues in the field of tribology. Project description The project is about developing and applying TENG-based self-powered sensors or TENG-based energy harvesting methods for tribological applications. A sensor that produces its own power has a large role to play in the advancement of wearables, the Internet of Things, Industry 4.0, etc. The focus of this project is to apply this technology to machine components to give information about the operation. This could be general machine health as well as specific fault and failure signals. The aim of the project is to develop knowledge and understanding of the relationship between tribological signals (especially lubrication signals) and the working status. Duties The PhD student is expected to perform both experimental and theoretical work within research studies as well as communicate the results at national and international conferences and in scientific journals. Most of the PhD student's working time will be devoted to its own research studies. In addition, the PhD student can have the opportunity to try the teacher role. As a researcher, the PhD student works as a neutral party in many contexts, which provides a great opportunity to be involved in challenging development projects. Qualifications Applicants must have a master's degree in science or engineering (Materials science, Chemistry, Physics, Mechanical engineering, etc.), or equivalent. Good skills in oral and written communication in English are also a requirement. The following selection criteria apply: Background relevant to the project, The quality of the applicant's master's thesis, Personal qualities relevant to research education. Information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting date upon agreement. For further information, you are welcome to contact: Professor Yijun Shi, (+46) 920-492064, mailto:yijun.shi@ltu.se https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Tradeunioncontacts In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this scholarship by using the Apply button below. The application should include a CV, a personal letter, and copies of verified diplomas from high school and universities. Your application, including diplomas, must be written in English or Swedish. Mark your application with the reference number below. Last day of application: 10 August 2026 Reference number: 3871-2026