Sökresultat för "real-world"

We’re building real-world AI systems – not just prototypes. If you’ve worked hands-on with LLMs and want to take the next step, we should talk. At Knowit Connectivity, we’re expanding our AI capabilities and looking for experienced engineers and architects who want to design and build production-grade AI solutions together with our clients. About the role As a senior consultant, you’ll work across the full lifecycle of applied AI – from early exploration to deployed, scalable systems used in real environments. You’ll take a leading role in shaping solutions, both technically and strategically, and collaborate closely with clients, developers, and other stakeholders. Typical work includes: Designing end-to-end architectures for AI-powered systems Building and deploying LLM-based applications in production Implementing RAG pipelines over large and complex data sources Developing agent-based workflows and orchestration logic Integrating AI capabilities into existing systems and platforms Evaluating, optimizing, and scaling AI solutions (latency, cost, quality) What we’re looking for We’re primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs (e.g. OpenAI, open-source models) Retrieval-Augmented Generation (RAG) and vector databases Designing production-ready systems (APIs, pipelines, integrations) Python or similar programming languages Working with frameworks like LangChain, LlamaIndex, or similar Prompt engineering, evaluation, and iteration in real-world use cases Experience with system architecture, cloud platforms, or data engineering is a strong plus. Who you are You’re someone who: Has moved beyond demos and wants to build systems that are actually used Enjoys both the bigger picture (architecture, trade-offs) and hands-on implementation Is comfortable taking ownership and guiding technical direction Wants to stay at the forefront of how AI is applied in practice You don’t need to fit a perfect profile – we value different strengths, whether you lean more towards architecture or implementation. Why join us At Knowit, you’ll be part of a team that helps organizations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities, and turn ideas into practical applications. Whether it’s defining a strategy, designing architectures, or building working systems, you’ll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organizations at different stages of their AI maturity – from first use case to scaled solutions Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time We’re building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you’ve already built something real with LLMs – and want to push further – we’d like to hear from you.

Do you enjoy translating advanced research into real-world impact and shaping the future of manufacturing technologies? At Sandvik Coromant, our expertise in metal cutting meets a strong focus on customer experience and emerging industry trends – creating solutions that define tomorrow’s manufacturing. Join our Cutting Tool Research team and help drive innovation forward. About the job In this position, you’re part of a research team focused on building the scientific and technological foundation for future metal cutting tools and solutions, turning knowledge into tangible outcomes for the business. You combine strategic thinking with hands-on research, contributing to how knowledge is developed, structured, and translated into customer value, while actively working in projects related to Cutting Process modelling, simulation, and applied studies. Job responsibilities Drive research initiatives within cutting process modelling and simulation Translate scientific insights into practical, value-creating solutions Collaborate with internal teams and external research partners Generate and analyze data through modelling and experimental studies Capture, validate, and share knowledge across the organization Support competence development by coaching colleagues and enabling knowledge growth Location The position is based in Sandviken or Stockholm. Some business travel may be required. Your profile With a strong academic and/or industrial background in mechanical engineering, metal cutting, or a related field, you combine theoretical depth with a practical mindset. You’re experienced in research or advanced engineering environments and enjoy turning complex problems into actionable insights. Your background includes: Experience in modelling and simulation of cutting processes A solid foundation in machining, metal cutting, or similar disciplines Exposure to research environments or advanced engineering work Strong analytical capabilities and scientific approach Fluency in English; Swedish is considered an advantage Curiosity, collaboration, and a genuine drive to share knowledge define your way of working. You build relationships easily across disciplines, communicate ideas clearly, and stay motivated by exploring new perspectives to move both people and technology forward. Our culture Innovation is in our DNA and we’re proud to shape the future of manufacturing in close collaboration with our customers and partners. We believe in an inclusive, equal and open-minded culture, and we nurture our diversities to form a solid foundation for achieving great results. Add fair and rewarding benefits, as well as many different career opportunities in an inspiring global environment. Meet some of your future colleagues at our career page or visit our website, LinkedIn or Facebook page to get to know us further. Contact information Are you curious to know more about this position? Please contact Erik Tyldhed, hiring manager, at erik.tyldhed@sandvik.com We’ve already decided on which advertising channels and marketing campaigns we wish to use and respectfully decline any additional contacts in that matter. Union contacts (Sweden): Robert Brandt, Unionen, +46 (0)70-261 36 19 Tord Engström, Akademikerföreningen, +46 (0)76 106 62 87 Peter Olsson-Andrée, Ledarna, +46 (0)70-222 48 55 Recruitment Specialist: Hanna Thomas At Sandvik Coromant, we value a healthy work-life balance and will be away on summer vacation. Therefore, it can be difficult to reach us, and the recruitment process might take longer than usual. How to apply Send your application no later than August 2nd, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e-mail. Job ID: R0093074. The interview process is expected to start in week 34. We aim for an open and fair recruitment process and use different tools to ensure an objective assessment. Later in the process, you may be invited to complete a personality and logic test. To learn more about our recruitment process, please visit our career site or contact HR Services at hrservices.sweden@sandvik.com Sandvik Coromant is part of the global industrial engineering group Sandvik and is at the forefront of developing manufacturing tools and machining solutions, with knowledge that drives the industry standards and innovations demanded by the metalworking industry now and in the next industrial era. Collaborations with educational institutions, extensive investment in research and development and strong customer partnership ensure the development of machining technologies that change, lead and drive the future of manufacturing. Sandvik Coromant owns over 1700 patents worldwide, employs around 8000 staff and is represented in more than 150 countries.

Where software meets the physical world In 2022, Budbee and Instabox merged to form Instabee — now home to three consumer brands serving millions of deliveries across Europe. We move fast, we're growing across Scandinavia and continental Europe, and we're not slowing down. Always with the consumer at heart. The Team The Box team owns one of Instabee's most tangible products: our locker network. We build and maintain the full software ecosystem that powers 6,000+ lockers — from cloud backend services to the software running on the physical hardware itself. It's a space where reliability, scalability, and real-world constraints collide daily, and where the gap between a code change and a real-world outcome is remarkably short. We operate as an autonomous, cross-functional team with full ownership of our product lifecycle — from design and development through to deployment and iteration. If you've ever wanted to see your engineering decisions literally open a door, this is that job. What You'll Work On The team’s focus and responsibilities span a wide range of areas, but everything is centered around the user experience at the parcel lockers. This means working with supporting backend solutions (Golang), the user interface at the locker itself (React), cloud services (Google Cloud), and other related applications. With our roadmap mainly centered around the locker experience, much of the engineering work focuses on building and evolving the software that powers the devices themselves. It’s a pragmatic, flexible environment where no two problems look the same. As a Senior Software Engineer, on a daily basis, you'll: Shape the architecture — Contribute to key technical decisions and drive solutions that balance robustness with speed of delivery Work across the stack — Hands-on implementation from cloud services to hardware-adjacent software Collaborate closely — Partner with product managers, designers, and engineers to refine requirements and build things that matter Raise the bar — Code reviews, knowledge sharing, and continuous improvement of systems and processes Who You Are You're a pragmatic engineer who enjoys working across boundaries — backend and frontend, software and hardware, ambiguity and clarity. You take ownership, collaborate naturally, and care about how your work functions in the real world. You bring: 5+ years of Software Engineering experience Proficiency in Golang, or the confidence and track record to pick it up fast Experience with working in a Linux environment A product mindset — you think about impact, not just implementation Experience working in agile development environments. Familiarity with cloud platforms like GCP or similar Bonus points for: Experience with React Background in IoT or hardware-integrated systems Deeper knowledge of Linux and/or Ubuntu Core The Culture We believe great products are built by teams that take real ownership and understand how their work is used in the world. In the Box team, that's not a platitude — it's the daily reality. You'll work in a highly collaborative, autonomous environment where experimentation is encouraged and fast iteration is the norm. Open communication, continuous learning, and genuine cross-functional partnership are how we operate. You'll have real influence over technical direction and product experience — not just tickets in a queue. What You'll Get Ambitious colleagues, real challenges, and plenty of room to grow. Plus: 🌇 Sky-High Office Modern, newly renovated with 360° views over Stockholm 🍸 Rooftop Fridays Wind down the week at our rooftop bar 🥐 Monthly Tech Breakfasts Midweek talks, great food, smart people 👾 Tech Demos Regular showcases of the latest innovations 🏓 Games Room Ping pong, shuffleboard, foosball, and karaoke ⏰ Hybrid Hours Work patterns that fit your life 👶 6 Months Parental Pay Full support when your family grows 🎂 Birthday Day Off Your day, your way — every year If building systems that bridge the digital and physical worlds sounds like your kind of challenge, we'd love to hear from you! This recruitment process consists of background checks via Verifiera as a review of previous public criminal records. The result is public information that is handled confidentially. This is mandatory for all recruitment processes at Instabee in Sweden.

Where software meets the physical world In 2022, Budbee and Instabox merged to form Instabee — now home to three consumer brands serving millions of deliveries across Europe. We move fast, we're growing across Scandinavia and continental Europe, and we're not slowing down. Always with the consumer at heart. The Team The Box team owns one of Instabee's most tangible products: our locker network. We build and maintain the full software ecosystem that powers 6,000+ lockers — from cloud backend services to the software running on the physical hardware itself. It's a space where reliability, scalability, and real-world constraints collide daily, and where the gap between a code change and a real-world outcome is remarkably short. We operate as an autonomous, cross-functional team with full ownership of our product lifecycle — from design and development through to deployment and iteration. If you've ever wanted to see your engineering decisions literally open a door, this is that job. What You'll Work On The team’s focus and responsibilities span a wide range of areas, but everything is centered around the user experience at the parcel lockers. This means working with supporting backend solutions (Golang), the user interface at the locker itself (React), cloud services (Google Cloud), and other related applications. With our roadmap mainly centered around the locker experience, much of the engineering work focuses on building and evolving the software that powers the devices themselves. It’s a pragmatic, flexible environment where no two problems look the same. As a Senior Software Engineer, on a daily basis, you'll: Shape the architecture — Contribute to key technical decisions and drive solutions that balance robustness with speed of delivery Work across the stack — Hands-on implementation from cloud services to hardware-adjacent software Collaborate closely — Partner with product managers, designers, and engineers to refine requirements and build things that matter Raise the bar — Code reviews, knowledge sharing, and continuous improvement of systems and processes Who You Are You're a pragmatic engineer who enjoys working across boundaries — backend and frontend, software and hardware, ambiguity and clarity. You take ownership, collaborate naturally, and care about how your work functions in the real world. You bring: 5+ years of Software Engineering experience Proficiency in Golang, or the confidence and track record to pick it up fast Experience with working in a Linux environment A product mindset — you think about impact, not just implementation Experience working in agile development environments. Familiarity with cloud platforms like GCP or similar Bonus points for: Experience with React Background in IoT or hardware-integrated systems Deeper knowledge of Linux and/or Ubuntu Core The Culture We believe great products are built by teams that take real ownership and understand how their work is used in the world. In the Box team, that's not a platitude — it's the daily reality. You'll work in a highly collaborative, autonomous environment where experimentation is encouraged and fast iteration is the norm. Open communication, continuous learning, and genuine cross-functional partnership are how we operate. You'll have real influence over technical direction and product experience — not just tickets in a queue. What You'll Get Ambitious colleagues, real challenges, and plenty of room to grow. Plus: 🌇 Sky-High Office Modern, newly renovated with 360° views over Stockholm 🍸 Rooftop Fridays Wind down the week at our rooftop bar 🥐 Monthly Tech Breakfasts Midweek talks, great food, smart people 👾 Tech Demos Regular showcases of the latest innovations 🏓 Games Room Ping pong, shuffleboard, foosball, and karaoke ⏰ Hybrid Hours Work patterns that fit your life 👶 6 Months Parental Pay Full support when your family grows 🎂 Birthday Day Off Your day, your way — every year If building systems that bridge the digital and physical worlds sounds like your kind of challenge, we'd love to hear from you! This recruitment process consists of background checks via Verifiera as a review of previous public criminal records. The result is public information that is handled confidentially. This is mandatory for all recruitment processes at Instabee in Sweden.

Autoliv is the worldwide leader in automotive safety systems. We develop, manufacture and market protective solutions such as airbags, seatbelts, and steering wheels for all major automotive manufacturers worldwide, along with advanced safety solutions for new mobility. In 2025, our products helped save approximately 40,000 lives and prevented around 600,000 serious injuries. Driven by our mission of Saving More Lives, we are developing connected, intelligent, and data-driven safety technologies that extend beyond traditional vehicle safety systems. To support this exciting journey, we are looking for three Software Engineering Interns to join our team and contribute to the next generation of automotive safety and mobility solutions. This is an opportunity to gain hands-on experience, work with cutting-edge technologies, and collaborate with experienced engineers in an international and purpose-driven organization. Role and Responsibilities As a Software Engineering Intern, you will have the opportunity to contribute to the development of future automotive safety and mobility solutions. Depending on your background, interests, and ongoing projects, you may work within areas such as system development, control engineering, embedded software, connected services, cloud technologies, simulation, testing, and data analytics. You will collaborate with experienced engineers and gain valuable insight into the full product development process while contributing to real-world projects. Your Key Responsibilities may include: Supporting the development of future automotive safety and mobility solutions Working with system, software, control, or algorithm development Participating in simulation, testing, and validation activities Analyzing data and system performance Contributing to requirements, documentation, and technical investigations Collaborating with cross-functional engineering team Who Are You You are curious, motivated, and driven by technical challenges. Whether your interests lie in embedded systems, control engineering, software development, data analytics, or connected solutions, you are eager to learn, grow, and contribute to the future of automotive safety and mobility. Required Qualifications: Currently pursuing an M.Sc. degree in Control Engineering, Robotics, Mechatronics, Electrical Engineering, Computer Science, Software Engineering, Data Science, AI, Systems Engineering, Automotive Engineering, or a related technical field Strong analytical and problem-solving skills Interest in technology development and innovation Good communication and collaboration abilities Fluent in English, both written and spoken Experience or knowledge within software development, connected technologies, data analytics, embedded systems, control engineering, or automotive systems is considered an advantage. Familiarity with tools such as Python and MATLAB/Simulink is a plus. However, we value curiosity, motivation, and a willingness to learn just as highly as previous experience. Why Join Autoliv? At Autoliv, you will have the opportunity to: Work with advanced technologies that contribute to safer mobility Gain practical experience in a global technology company Learn from experienced engineers and industry experts Develop technical and professional skills through meaningful projects Contribute to innovations that help save lives every day Practical Information Place of Work: Lindholmen (1 position) or Vårgårda (2 positions) | Hybrid Scope: Temporary contract, approximately 40% per month Start Date: According to agreement

Are you ready to take the next step in your engineering career and make a real impact by leading projects where your ideas turn into real-world solutions? At business area Rock Processing, every day brings new challenges – whether it’s developing unique products, ensuring safety in extreme environments, or collaborating with experts across the globe. About your job In this position, you lead the mechanical scope of complex projects from concept to completion – securing resources, managing budgets and assessing risks. You act as a sub-project manager for the mechanical portion, ensuring every design meets rigorous standards and regulations. You bring ideas to life using CAD and CAE tools, create detailed engineering drawings, and validate product performance before handing over to production. You also: Analyze equipment specs and process requirements to deliver practical, compliant designs. Collaborate across divisions and functions, integrating feedback from stakeholders like sales, development, and project managers. Make cost calculations for ETO projects from a mechanical perspective. Take responsibility for EHS in every aspect of your work. The location for this position is Svedala. Some national and international travel is part of your job. Your profile A relevant university degree or the equivalent experience forms the foundation of your technical expertise. You have several years’ experience as a mechanical design engineer – especially with customized deliveries and product development – and are comfortable navigating different standards, legislation and client requirements. Project management experience is important, and you bring extensive experience from the mining, or similar process industries. Business acumen is second nature, with a strong grasp of cost calculations and supplier interactions. Acting in a truly global environment calls for fluency in English. Strategic thinking guides your work, always aligning with organizational goals. Your communication and interpersonal skills are top-notch, allowing you to build strong relationships. Problem-solving is in your DNA, and you make data-driven decisions with integrity and high ethical standards. You thrive in cross-functional teams, embrace new challenges, and stay ahead of industry trends. A proactive mindset and a commitment to continuous improvement help you succeed in a fast-paced, ever-evolving environment. Our culture At Sandvik, we’re tech driven, innovative and entrepreneurial. We believe that success is a team effort so we value diversity and are committed to creating an inclusive culture where people can be themselves and reach their full potential. So, we invest in supporting each other, learning together and celebrating our differences. Visit our stories hub, LinkedIn or Facebook to get to know us further. Contact information  For further information about this position, please contact Vladimir Isaevski, recruiting manager, +46 (0)76 111 03 41 We’ve already decided on which advertising channels and marketing campaigns we wish to use and respectfully decline any additional contact in that matter. Union contacts – Sweden Mårten Lindberg, Unionen, +46 (0)76 111 03 36 Jonny Hansson, Akademikerföreningen, +46 (0)76 126 45 81 Michael Wicktor-Ohlsson, Ledarna, +46 (0)70 251 44 57 Recruitment Specialist: Ulrika Gruffman At Sandvik, we value a healthy work-life balance and will be away on summer vacation. Therefore, it can be difficult to reach us, and the recruitment process might take longer than usual. Interviews are planned to be held in August/September. How to apply Send your application no later than 9th August, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e-mail. Job ID: R0093202. To learn more about our recruitment process, please visit our career site or contact HR Services at hrservices.sweden@sandvik.com Rock Processing is a business area within the Sandvik Group and a leading supplier of equipment, tools, parts, service and solutions for processing rock and minerals in the mining and infrastructure industries. Application areas include crushing and screening, breaking and demolition. In 2024, sales were approximately 11 billion SEK with about 2,700 employees.

This is a career-changing opportunity to work alongside world-class engineers and scientists on a mission to reimagine what machines can do. You will help us build the digital nervous system of intelligent agents, not by refining existing tools, but by inventing new systems entirely. Your work will directly shape how intelligent machines learn, adapt, and act in the physical world. We are now extending our models into robotics, where they act as an adaptive layer between higher-level learning systems, such as reinforcement learning (RL) and vision-language-action (VLA) models, and low-level actuators. This layer can significantly reduce the sim-to-real gap and address the core deployment challenges of the real world in general-purpose robotics. The systems you help design will be exercised against real-world constraints and tested on real robotic platforms. To do this exceptionally well, we need deeper, hands-on understanding of the limitations of RL in real systems. You will look into how our model interacts with RL policies in practice and help quantify Intui’s capabilities alongside state-of-the-art RL in real-world deployments. This role is about fixing some of the largest problems within general-purpose robotics today. Our software stack is built from scratch in C/C++. We do not rely on common ML frameworks. We build what we need. The work is deep, interdisciplinary, and exploratory. You will translate theory, papers, and experimental results into robust, real-time systems that can be tested in simulation and, increasingly, on real robotic platforms through partners. What You’ll Do Explore and evaluate RL approaches in the context of robotics and embodied control of humanoid robots as well as other form factors Design and run experiments to understand the underlying model dynamics, limitations, and failure modes, especially while adapting to real-time changes Prototype and test learning-based components into low-level, real-time systems Collaborate with other research engineers to guide model development and research direction through evidence, experiments, and clear reasoning Help us understand what to test, how to test it, and why. What You Bring Strong research background, preferably a PhD, or an exceptional MSc with substantial experience in robotics and state-of-art RL / VLA models Hands-on experience applying reinforcement learning to real hardware Solid understanding of robotics fundamentals, control systems, and physical constraints Systems-level programming mindset, with proficiency in C/C++ or similar low-level languages Ability to translate papers, theory, and experimental ideas into working code and experiments that others can understand, test, and build upon Curiosity and rigor when working in poorly charted territory Bonus Signals Experience with low-level robotic control systems (e.g., PID), real-time systems, or hardware-in-the-loop setups Familiarity with sim-to-real challenges and mitigation strategies Exposure to vision-language-action models or other high-level learning systems for robotics Background in control theory or physics Who You Are Research-driven and comfortable working where answers are unclear Thoughtful, evidence-oriented, and willing to challenge assumptions, including your own Collaborative and generous with insight, not territorial about ideas Motivated by building fundamental capabilities rather than shallow demos

1 job(s). Are you a back-end developer who enjoys building software that connects with real-world industrial hardware – from forklifts in warehouses to charging systems in ports? Do you like being involved in the full journey, from problem definition to production, and care about creating open, secure, and reusable solutions? Then we have a great opportunity for you.    We make electrification of the industry a reality. Micropower is an international company headquartered in Växjö, Sweden. With strong in-house expertise, we develop and produce efficient, intelligent lithium-ion batteries, charging systems, and power converters. We operate in Sweden, the USA, Germany, Finland, Italy.  What you'll do In this role you design and implement scalable backend services in Python and Go, build interactive user interfaces in React, and model and optimise data in MongoDB. Our services are primarily containerised, and you help deploy and maintain self-hosted systems. You own features end-to-end – from understanding the need to shipping to production – and collaborate across functions with product, sales, and support.  You will join a small, product-driven team developing open, secure solutions for the energy industry. With open source at the core of everything we build, we prioritize transparency, reusability, integrity, and adherence to open standards. The autonomous GET R&D team builds and operates the GET Fleet Management System – a containerized cloud and mobile platform that connects to physical energy hardware. The team works closely with Product, Sales, and Service to drive the development of open-source energy solutions. What you’ll get  A key role in a fast-growing, innovative company where your creativity and ideas have a real impact.   A dynamic, development-driven environment with great opportunities for professional growth.   Collaboration across functions, in an international environment. Work with cutting-edge technology in a culture that values initiative, collaboration, and continuous learning.   Requirements: Bachelors degree within Computer Science/IT or equivalent demonstrated work experience Around 3–6 years of experience building cloud-based software in a production environment Experience with Python and/or Go in a production environment Good knowledge of React and modern frontend tools (hooks, state management, bundlers) Practical experience with MongoDB or other document databases, including indexing and scaling  Experience deploying and maintaining self-hosted systems (Docker, Kubernetes or similar container orchestration; configuration management; monitoring and logging)  Professional proficiency in English, both written and spoken. Who you are You are driven and curious, and you take ownership of your work from problem to production. You enjoy a small, autonomous team and care about the experience your work creates for the end user. Transparency in communication with colleagues across functions – including people outside engineering – is a given for you, and you value open standards and reusable solutions. Change motivates you and you welcome challenges. You solve problems by communicating with others, driving your own development and delivering good results. Our core principles of presence and responsibility guide us as we progress with dedication and sincerity.  At Micropower we fuel people to power growth. Join us in the exciting journey to a more sustainable future! Application Please note that we don’t accept cover letter. We kindly ask you to thoroughly answer the questions about requirement for this position instead. You will find them when you click “Apply”.   The position is based at our office in Växjö, Sweden, and requires a valid Swedish work permit.   Due to the summer holiday period, interviews will be held in August. We look forward to hearing from you!  Micropower had a revenue of approximately SEK 1.9 billion in 2024 and employs 550 people across various departments. For more information about us, please visit www.micropower-group.com.   Form of employment: Permanent employment.

YOUR MISSION AT VOI We operate one of the world’s largest connected micromobility fleets, with close to 200,000 vehicles across multiple hardware generations, vehicle models and markets – and we will keep scaling significantly in the coming years. As our fleet grows in scale and complexity, firmware reliability, platform architecture, and operational robustness become increasingly critical to the business. Ultimately, your work ensures that every Voi vehicle feels safe, reliable and effortless to use – even after years of real‑world use, rough weather, and everyday wear and tear. We are now looking for a deeply experienced Staff Embedded Engineer to help lead the next generation of our vehicle and IoT platform. In this highly hands-on technical leadership role you will shape the long‑term embedded platform strategy and architecture, and work across teams, suppliers and partners to make sure our vehicles are consistently reliable. You will, among other things: * Translate rider and operator needs into platform‑level design decisions, ensuring our vehicles are intuitive to use, reliable over years in the field and straightforward for local teams to operate and maintain. * Architect and evolve a large‑scale distributed embedded platform spanning vehicle control systems, battery‑powered IoT devices and multi‑MCU/MPU platforms (including Zephyr / Linux‑capable systems). * Develop and scale platforms capable of hosting multiple ML models on‑edge based on computer vision and other sensors. * Drive the evolution of fleet‑wide OTA infrastructure, remote diagnostics and observability for hundreds of thousands of devices across 100+ cities in Europe. * Lead technical discussions and design reviews with internal teams and external hardware suppliers and manufacturing partners. * Improve resilience and recovery mechanisms for remotely deployed systems, including safe rollback strategies and recovery of bricked devices. * Drive improvements in CAN‑based vehicle communication, power systems, GNSS and geofencing in dense urban environments, and sensor reliability, including Bluetooth and NFC user interactions. * Raise the bar for engineering excellence across embedded and firmware engineering, mentoring others, refining CI/CD, testing and release processes, and introducing best‑in‑class development practices. * Champion the strategic and pragmatic adoption of Generative AI tools to increase engineering effectiveness while protecting code quality and minimising technical debt. WHAT YOU NEED TO EMBARK You are a hands-on, senior technical leader who thrives at the intersection of firmware, hardware, connectivity and large‑scale operations. You are confident in navigating high complexity, balancing strategic architectural choices with pragmatic delivery, and you enjoy mentoring others and setting engineering standards. You care about the end‑to‑end experience: from how a rider feels stepping onto a scooter, to how easy it is for our operations teams to keep the fleet safe, available and healthy over time. We believe you will bring: * Extensive experience building and operating embedded / firmware systems in real‑world environments at scale (ideally globally distributed connected device fleets). * Strong skills in embedded C/C++ development and low‑power, real‑time embedded systems. * Deep understanding of firmware architecture, hardware / software integration and distributed IoT systems. * Proven experience debugging complex field issues across firmware, hardware, manufacturing and connectivity layers. * Strong experience with embedded communication protocols such as CAN, SPI, I²C, UART and BLE. It’s a plus if you have experience with: * STM32‑based or other heterogeneous embedded architectures, and modern RTOS platforms such as Zephyr. * Secure boot, TrustZone, TPMs or other embedded security architectures, as well as Embedded Linux systems. * GNSS, geofencing, sensor fusion or other edge‑processing systems, and battery‑powered devices with a focus on power optimisation. * Operating large, globally distributed IoT fleets across varied connectivity environments, including recovering from real‑world operational failures, factory issues or large‑scale fleet incidents. This role is likely a strong match if you have scaled firmware deployments globally, built systems that remain reliable under unreliable real-world conditions, and driven architecture decisions across multiple hardware generations with a focus on long‑term maintainability and operational visibility. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: * Join Europe’s #1 micromobility operator * Get “skin in the game” through our employee options programme. * Enjoy unlimited free Voi rides and a dog‑friendly office. * Work together with inspiring, motivated and fun colleagues towards a common goal. * Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution.

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we are looking for a Junior Data Engineer to join our team and grow with us. You do not need years of work experience, we care more about your mindset, technical foundation and eagerness to learn. Let us tell you about the role 📖 As a Junior Data Engineer, you’ll be a part of our central data team and collaborate closely with both technical teams and business stakeholders to build and improve our data platform. You’ll play an important role in building the data foundations behind modern AI products and intelligent agents while exploring how AI systems interact with and make use of data in real-world applications. In this role, you’ll also Support data ingestion and pipeline maintenance using tools such as Airbyte and Dataform Write and maintain basic SQL transformations, data models, and data quality checks Help structure and document data models, metrics, and business definitions Support the development of the semantic layer in Omni Investigate data issues and help ensure data is accurate, reliable, and easy to use Your story so far 👀 We are looking for someone who is structured and takes ownership of their work. We believe you are self-driven, communicative and comfortable collaborating with both technical teams and stakeholders. You value quality, enjoy learning and understand the importance of strong foundations when building scalable and reliable data solutions. Furthermore, we believe you have: A degree or recently completed studies in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field Some knowledge of SQL Basic programming experience, preferably in Python An interest in databases, data modeling, analytics, and modern data platforms Curiosity about semantic layers, metrics, information modeling, and AI-driven data solutions You might have experience with some of the following areas, but don’t worry if you don’t, we’re more interested in your overall potential and willingness to learn. School projects, internships, thesis work, or personal projects involving data Data modeling concepts such as facts, dimensions, entities, relationships, or star schema Tools such as Omni, dbt, LookML, Cube, BigQuery, Snowflake, Airflow, or similar Git or other version control tools BI tools such as Looker, Tableau, Power BI, or simila The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application. Please submit your grades and CV when you apply. Applications are reviewed continuously and if you have any questions about the role, contact Erika Thorslund, erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.

Do you want to turn image and sensor data into meaningful insights and real-world solutions? Here, you join a collaborative environment where innovation, learning, and data-driven thinking move us forward. Why Sandvik? We combine advanced technology with real industrial impact, giving you space to grow while contributing to something bigger. Work together with experienced experts and learn by doing Contribute to real-world AI use cases from day one Be part of a collaborative and inclusive team culture About the job You support the development of AI models and data-driven solutions with a focus on image and sensor data. Working closely with more experienced colleagues, you take part in experimentation, testing, and continuous improvement of models. Job responsibilities Support development of AI and machine learning models Work with image and sensor data to explore and build solutions Assist in testing, validating, and refining models Contribute to experiments and prototyping activities Collaborate with team members to improve performance and results Location and flexibility This position is based at our site in Svedala and offers a hybrid working model, allowing you to work remotely. Your profile You’re early in your career and bring a strong foundation in data science or a related field. Curiosity drives you, and you’re motivated to turn theory into practical solutions while growing your skills in applied AI. Your background includes: A degree in Data Science, Computer Science, Electrical Engineering, or similar Hands-on experience through projects, thesis work, or open-source contributions Interest in AI, machine learning, and algorithms for image or sensor data Strong problem-solving ability and analytical thinking Eagerness to learn and develop within a team environment Curiosity, initiative, and a willingness to learn guide your approach. You enjoy collaborating, asking questions, and tackling challenges step by step. A proactive mindset and openness to feedback help you grow and contribute to the team’s success. Our culture At Sandvik, we’re tech driven, innovative and entrepreneurial. We believe that success is a team effort so we value diversity and are committed to creating an inclusive culture where people can be themselves and reach their full potential. So, we invest in supporting each other, learning together and celebrating our differences. Visit our stories hub, LinkedIn or Facebook to get to know us further. Contact information For further information about this position, please contact Johan Östergren, hiring manager, johan.ostergren@sandvik.com. We’ve already decided on which advertising channels and marketing campaigns we wish to use and respectfully decline any additional contacts in that matter. Union contacts – Sweden Mårten Lindberg, Unionen, +46 (0)76 111 03 36 Jonny Hansson, Akademikerföreningen, +46 (0)76 126 45 81 Michael Wicktor-Ohlsson, Ledarna, +46 (0)70 251 44 57 Recruitment Specialist: Ulrika Gruffman How to apply Send your application no later than July 27, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e-mail. Job ID: R0093937. At Sandvik, we value a healthy work-life balance and will be away on summer vacation. Therefore, it can be difficult to reach us, and the recruitment process might take longer than usual. We aim for an open and fair recruitment process and use different tools to ensure an objective assessment. Later in the process, you may be invited to complete a personality and logic test. To learn more about our recruitment process, please visit our career site or contact HR Services at hrservices.sweden@sandvik.com Business area Rock Processing is a global leading supplier of equipment, service, and technical solutions for crushing, screening, breaking and demolition in the mining and infrastructure industries. In 2025, sales were approximately SEK 10 billion with about 2,800 employees.

Are you a software engineer who enjoys building the platforms that turn AI potential into real-world insights? Do you thrive in a highly collaborative, team-based environment and have a passion for Python and cloud-native automation? Our COT (Custom Object Training) team is looking for two new engineers to help us build the future of smart analytics at Axis. Who is your future team? We are the team behind COT, a cutting-edge service that allows our customers to train cameras to recognize exactly what they need. Our mission is to transform complex AI training into a seamless, self-service experience. We are currently a smaller core team. Now, we are looking for two more stars to join us. Our tech stack is modern and cloud-native: we use Python for our core logic and orchestration, React for our user interface, and modern cloud data services for our data and metadata storage. We believe a positive and highly collaborative culture is the key to our success. To give you a feel for how we operate, here are the principles we live by: We build together. Collaboration is our default mode, not an afterthought. We own our work, from the first line of code to the value it creates for the customer. We are driven by curiosity and encourage asking "why?" and "what if?". We see mistakes as learning opportunities and a natural part of innovation. We support each other to grow, succeed, and have fun while doing it. We value open communication and respectful debate to find the best solutions. We celebrate our achievements, big and small. By following these principles, we create a safe and dynamic environment where we can all learn and build great things. How we work Our focus is on engineering a high-quality, smart software platform. We work in an agile way where all team members collaborate on the design, architecture, and implementation. While we work closely with AI experts, these are pure software development roles; you will be building the "engine" and the "face" of the product, ensuring the system is robust and the data is accessible. Quality is paramount. We develop in a Linux environment for services that empower our customers worldwide. We value a Platform Mindset-building high-quality, consistent APIs and tools that are scalable and easy to automate. What you'll do as a Software Engineer We are looking for two different profiles to complement our team. Depending on your interest and background, your responsibilities will include: Profile A: The Pipeline & Automation Engineer (MLOps focus) Design and develop the automated Self-Service training pipelines using Python. Orchestrate data flows between cloud storage and processing services to ensure high-performance training loops. Build the "Quality Gates" that automatically validate model accuracy and performance. Profile B: The Data Storyteller (Fullstack focus) Build and customize the user interface in React, making complex AI data easy to understand. Design intuitive dashboards that visualize accuracy, precision, and recall for our users. Bridge the gap between raw metadata and a "smart" user experience. Common for both: Participate as a dedicated and collaborative member in the team's everyday work. Communicate with stakeholders (Product Managers, Architects, Specialists) to ensure we deliver true customer value. Who are we looking for? We are looking for committed developers who want to work in a friendly, cross-functional team. Whether you are an experienced professional or a talented recent graduate with a passion for cloud-native engineering, we believe you can contribute to our journey. We'd love to hear that you have: A bachelor's or master's degree in Computer Science or a related field. Experience with, or a strong foundation in, Python. A strong interest in cloud-native data storage and NoSQL databases. Experience with or a strong curiosity for React and data visualization. A true team-player mindset-you are communicative, curious, and driven to find the best solutions together. Familiarity with or an eagerness to learn about MLOps, test automation, and CI/CD. What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. We go through applications continuously so don't wait - send in your application today! Vacation is important! At Axis we value work-life balance and that means that during summer many of us are on a well-deserved vacation. During this period of time, you can expect some delay in our response, but we will get back to you as soon as possible! In case of questions, please reach out to recruiting manager Thomas Danielsson at +46 46 272 1800

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. AI Team at Securitas At Securitas, our colleagues show up every day to help keep communities and organizations safe. Our job in the AI team is to make sure they're equipped with the best tools and intelligence possible. We are Securitas' Specialized AI Team - the internal center of excellence for advanced, custom AI. We don't work on generic tools or off-the-shelf solutions. We build the AI capabilities that require deep technical and domain expertise, and that directly move the needle on how Securitas operates at scale. About the role You will be a key technical voice in a small, focused team - someone who shapes how we approach problems, not just solves them. You'll lead the design, development, and production deployment of ML and GenAI solutions that turn raw data into actionable intelligence across a range of real-world problems. The stack we work with Python · PyTorch · LLMs (OpenAI, Gemini, Claude, open-source) · RAG pipelines, Hugging Face · Python analytical tools (DuckDB, polars, Pandas, and more) · Streamlit & Dash · Claude Code · GitHub Copilot · React · Databricks · Docker · SQL/NoSQL · Azure/GCP Responsibilities Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text, such as incident reports, operational logs, client data. Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks - relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what "good" looks like on the team. Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition modeling - that help deploy officers more effectively. Developing client churn models that give the business early, actionable retention signals. Driving the end-to-end ML lifecycle: from problem framing and data strategy through to monitored, production-grade systems. Translating ambiguous business problems into concrete technical roadmaps - and pushing back when the framing is wrong. Mentoring junior data scientists and setting technical standards across the team. Presenting findings, model behavior, and tradeoffs to senior stakeholders clearly and credibly. What you'll bring Must-haves Around 5+ years of professional data science experience, with a clear track record of successes. Deep Python skills and strong software engineering habits - your code is readable, tested, and maintainable. Advanced NLP experience and hands-on work with LLMs at a level beyond prompt experimentation - fine-tuning, evaluation, deployment. A rigorous approach to GenAI evaluation: you've built frameworks to measure output quality, catch failure modes, and make principled tradeoffs with full lifecycle thinking. Experience with MLOps fundamentals: deployment, serving, and monitoring of models, CI/CD, Docker, application and service logging, and reproducible pipelines. Using modern AI coding tools to work as a highly productive data scientist - rapidly exploring ideas, writing and refactoring code, and debugging faster while keeping a critical eye on outputs. Strong analytical instincts - you can tell when a result is too good to be true and you know how to find out why. Communication skills sharp enough to run a stakeholder presentation and a code review on the same day. Nice-to-haves Experience with Databricks for large-scale data processing and collaborative workflows. Familiarity with LLM evaluation frameworks (Ragas, LangSmith, or similar). Hands-on experience with forecasting and optimization problems - scheduling, demand planning, or similar. Experience building interactive data tools for end users, including front-end design, authentication layers, and logging. Background in a domain where decisions have real operational consequences - logistics, healthcare, security, or similar. Working conditions The role is open for candidates based in Malmö or Stockholm (with preference for applicants in Malmö). It's a hybrid working model. What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. AI Team at Securitas At Securitas, our colleagues show up every day to help keep communities and organizations safe. Our job in the AI team is to make sure they're equipped with the best tools and intelligence possible. We are Securitas' Specialized AI Team - the internal center of excellence for advanced, custom AI. We don't work on generic tools or off-the-shelf solutions. We build the AI capabilities that require deep technical and domain expertise, and that directly move the needle on how Securitas operates at scale. ---------------------------------------------------------------------------------------------------------------------------------- About the role You will be a key technical voice in a small, focused team - someone who shapes how we approach problems, not just solves them. You'll lead the design, development, and production deployment of ML and GenAI solutions that turn raw data into actionable intelligence across a range of real-world problems. The stack we work with Python · PyTorch · LLMs (OpenAI, Gemini, Claude, open-source) · RAG pipelines, Hugging Face · Python analytical tools (DuckDB, polars, Pandas, and more) · Streamlit & Dash · Claude Code · GitHub Copilot · React · Databricks · Docker · SQL/NoSQL · Azure/GCP ---------------------------------------------------------------------------------------------------------------------------------- Responsibilities * Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text, such as incident reports, operational logs, client data. * Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks - relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what "good" looks like on the team. * Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition modeling - that help deploy officers more effectively. * Developing client churn models that give the business early, actionable retention signals. * Driving the end-to-end ML lifecycle: from problem framing and data strategy through to monitored, production-grade systems. * Translating ambiguous business problems into concrete technical roadmaps - and pushing back when the framing is wrong. * Mentoring junior data scientists and setting technical standards across the team. * Presenting findings, model behavior, and tradeoffs to senior stakeholders clearly and credibly. ---------------------------------------------------------------------------------------------------------------------------------- What you'll bring Must-haves * Around 5+ years of professional data science experience, with a clear track record of successes. * Deep Python skills and strong software engineering habits - your code is readable, tested, and maintainable. * Advanced NLP experience and hands-on work with LLMs at a level beyond prompt experimentation - fine-tuning, evaluation, deployment. * A rigorous approach to GenAI evaluation: you've built frameworks to measure output quality, catch failure modes, and make principled tradeoffs with full lifecycle thinking. * Experience with MLOps fundamentals: deployment, serving, and monitoring of models, CI/CD, Docker, application and service logging, and reproducible pipelines. * Using modern AI coding tools to work as a highly productive data scientist - rapidly exploring ideas, writing and refactoring code, and debugging faster while keeping a critical eye on outputs. * Strong analytical instincts - you can tell when a result is too good to be true and you know how to find out why. * Communication skills sharp enough to run a stakeholder presentation and a code review on the same day. Nice-to-haves * Experience with Databricks for large-scale data processing and collaborative workflows. * Familiarity with LLM evaluation frameworks (Ragas, LangSmith, or similar). * Hands-on experience with forecasting and optimization problems - scheduling, demand planning, or similar. * Experience building interactive data tools for end users, including front-end design, authentication layers, and logging. * Background in a domain where decisions have real operational consequences - logistics, healthcare, security, or similar. ---------------------------------------------------------------------------------------------------------------------------------- Working conditions The role is open for candidates based in Malmö or Stockholm (with preference for applicants in Malmö). It's a hybrid working model. ---------------------------------------------------------------------------------------------------------------------------------- What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students.     The Department of Civil, Environmental and Natural Resources Engineering conducts research and education in mining, construction, and environmental engineering. The department has a strong experimental and applied profile, supported by well-equipped laboratories and close collaboration with industry. Approximately 70 % of the research is externally funded, and the department has extensive international collaboration. The Division of Mining and Geotechnical Engineering conducts research and education in rock mechanics, mining engineering, and geotechnical engineering, with a strong focus on the safe, efficient, and sustainable design of underground and surface excavations. The division works closely with industry to address practical engineering challenges and develop solutions for future mining and infrastructure projects.     Subject description   Mining and Rock Engineering comprises mining technology, rock engineering and rock mechanics, including rock mass properties, design of rock excavations and tunneling as well as planning and production processes related to both mining and civil engineering.     Project description   As underground mining operations at LKAB continue to greater depths, the rock mass is subjected to increasingly high in-situ stresses and dynamic disturbances, leading to elevated risks of seismic events and rockburst damage. There is therefore a growing need for improved understanding of ground support performance under both static and dynamic loading conditions.     This project aims to develop a mechanism-based and site-adapted framework for ground support design, focusing on energy absorption, deformation capacity, and system-level behaviour. The research will integrate laboratory testing, numerical modelling, and field observations from deep underground mines.     The expected outcomes include improved understanding of support performance, development of evaluation methodologies, and optimized support system design tailored to LKAB’s mining conditions.     Duties   As a PhD student, you will conduct both field data analysis and numerical research within the project. Your work will include:   - Development and application of numerical models for ground support systems (e.g. bolts, mesh, shotcrete, and rock mass interaction)   - Analysis and interpretation of laboratory testing results, including static and dynamic performance of support elements   - Participation in the design and evaluation of ground support systems for deep underground mining   - Collaboration with industry partners and integration of field data into research   - Dissemination of research results through scientific publications and conferences     Most of your working time will be devoted to your own research studies. You may also have the opportunity to contribute to teaching activities.     Qualifications   Required qualifications:   - Master’s degree in mining engineering, rock mechanics, geotechnical engineering, or in a related field   - Background in mechanics and/or numerical modelling (experience at different levels is welcome)   - Good written and verbal communication skills in English     Meritorious qualifications:   - Experience with numerical modelling tools (e.g. LS-DYNA, FEM, DEM)   - Knowledge of underground mining and rock support systems   - Experience with laboratory or field testing     Personal qualities:   - Ability to collaborate within a research team and develop independence over time   - Analytical and problem-solving skills   - Motivation to contribute to research with industrial relevance and real-world impact     For further information about a specific subject seehttp://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en     Further 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: according to agreement     For further information about the position, please contact Senior Lecturer Yang Zou, (+46) 920-49 3470, mailto:yang.zou@ltu.se or Professor Daniel Johansson, (+46) 920-49 2361, daniel.johansson@ltu.se     Union representatives:   SACO-S Diana Chroneer, (+46 ) 920-49 2037, mailto:diana.chroneer@ltu.se   OFR-S Marika Vesterberg, (+46) 920-49 1721, mailto:marika.vesterberg@ltu.se     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 position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.     Closing date for applications: July 31, 2026   Reference number: 3108-2026

Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students.   The Department of Civil, Environmental and Natural Resources Engineering conducts research and education in mining, construction, and environmental engineering. The department has a strong experimental and applied profile, supported by well-equipped laboratories and close collaboration with industry. Approximately 70 % of the research is externally funded, and the department has extensive international collaboration. The Division of Mining and Geotechnical Engineering conducts research and education in rock mechanics, mining engineering, and geotechnical engineering, with a strong focus on the safe, efficient, and sustainable design of underground and surface excavations. The division works closely with industry to address practical engineering challenges and develop solutions for future mining and infrastructure projects.   Subject description   Mining and Rock Engineering comprises mining technology, rock engineering and rock mechanics, including rock mass properties, design of rock excavations and tunneling as well as planning and production processes related to both mining and civil engineering.   Project description   As underground mining operations at LKAB continue to greater depths, the rock mass is subjected to increasingly high in-situ stresses and dynamic disturbances, leading to elevated risks of seismic events and rockburst damage. There is therefore a growing need for improved understanding of ground support performance under both static and dynamic loading conditions.   This project aims to develop a mechanism-based and site-adapted framework for ground support design, focusing on energy absorption, deformation capacity, and system-level behaviour. The research will integrate laboratory testing, numerical modelling, and field observations from deep underground mines.   The expected outcomes include improved understanding of support performance, development of evaluation methodologies, and optimized support system design tailored to LKAB's mining conditions.   Duties   As a PhD student, you will conduct both field data analysis and numerical research within the project. Your work will include: Development and application of numerical models for ground support systems (e.g. bolts, mesh, shotcrete, and rock mass interaction) Analysis and interpretation of laboratory testing results, including static and dynamic performance of support elements Participation in the design and evaluation of ground support systems for deep underground mining Collaboration with industry partners and integration of field data into research Dissemination of research results through scientific publications and conferences Most of your working time will be devoted to your own research studies. You may also have the opportunity to contribute to teaching activities.   Qualifications   Required qualifications: Master's degree in mining engineering, rock mechanics, geotechnical engineering, or in a related field Background in mechanics and/or numerical modelling (experience at different levels is welcome) Good written and verbal communication skills in English Meritorious qualifications: Experience with numerical modelling tools (e.g. LS-DYNA, FEM, DEM) Knowledge of underground mining and rock support systems Experience with laboratory or field testing Personal qualities: Ability to collaborate within a research team and develop independence over time Analytical and problem-solving skills Motivation to contribute to research with industrial relevance and real-world impact For further information about a specific subject seehttp://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en   Further 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: according to agreement   For further information about the position, please contact Senior Lecturer Yang Zou, (+46) 920-49 3470, mailto:yang.zou@ltu.se or Professor Daniel Johansson, (+46) 920-49 2361, daniel.johansson@ltu.se   Union representatives: SACO-S Diana Chroneer, (+46 ) 920-49 2037, mailto:diana.chroneer@ltu.se OFR-S Marika Vesterberg, (+46) 920-49 1721, mailto:marika.vesterberg@ltu.se   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 position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.   Closing date for applications: May 31, 2026 Reference number: 3108-2026