Search results for "Applied Behavior Analysis"

Vår vision är att bli Sveriges bästa skolkommun. Sollentunas kommunala skolor når goda elevresultat och har höga trygghetssiffror tack vare fantastiska medarbetare. Genom att använda sig av forskning och beprövad pedagogik siktar vi mot ännu högre kvalitet för att stimulera barns och ungdomars kreativitet och lärande. I våra skolor ska eleverna uppnå utmärkta studieresultat och utveckla de kompetenser och förmågor som krävs för framtida studier och yrkesliv. Rösjöskolan ligger i Edsberg med närheten till naturreservat och Rösjön. Här går cirka 420 elever från förskoleklass till årskurs 6. Vi erbjuder skola och fritids för elever i grundskola, anpassad grundskola och förberedelseklass. Verksamheten har en skolmiljö som skapar alla förutsättningar till rörelse, lärande och hälsa, och våra medarbetare drivs av att göra skillnad och skapa förutsättningar för att varje elev ska nå så långt som möjligt i sin kunskapsutveckling. Det kompensatoriska uppdraget är stort och skolan arbetar aktivt med att skapa både en socialt och kunskapsmässigt främjande verksamhet. Drivs du av att förstå mänskligt beteende och att skapa konkreta, positiva förändringar i skolans värld? Har du en stark analytisk förmåga och brinner för att utveckla undervisningen så att varje elev kan nå så långt som möjligt? Då kan det vara dig vi söker! Arbetsuppgifter Som beteendeanalytiker hos oss spelar du en nyckelroll i att utveckla och kvalitetssäkra vårt arbete i skolmiljön. Du kommer att arbeta både direkt med elever och nära skolledning samt pedagoger för att kartlägga, analysera och utforma målinriktade interventioner. Du kommer att vara en del av elevhälsoteamet. En stor del av ditt uppdrag handlar om att handleda och utbilda personalen för att utveckla undervisningen i den anpassade grundskolan. Målet är att skapa en tillgänglig lärmiljö där alla elever ges förutsättningar att lära och utvecklas så långt som det är möjligt utifrån sina unika förutsättningar. Du är också delaktig i arbetet kring elever i grundskolan där din profession behövs. Dina huvudsakliga arbetsuppgifter: Genomföra funktionella analyser i skolmiljö. Utforma, implementera och utvärdera pedagogiska och beteendestödjande strategier utifrån positivt beteendestöd (PBS). Upprätta bemötandeplaner och säkerställa att dessa leder till positiva resultat. Handleda och utbilda skolpersonal i tillämpad beteendeanalys (TBA) och positivt beteendestöd (PBS), med särskilt fokus på anpassad grundskola. Bidra till att utveckla undervisningen och implementera effektiva inlärningsstrategier för elever med intellektuell funktionsnedsättning i den anpassade grundskolan. Ge konkret stöd och handledning till personalen kring elever som uppvisar utmanande beteenden i anpassad grundskola och grundskola. Kvalifikationer Vi söker dig som har skolerfarenhet och är djupt förankrad i den beteendeanalytiska modellen. Du har en stark pedagogisk, didaktisk blick och djup kunskap kring olika inlärningsstrategier specifikt anpassade för elever med IF. Du är trygg, stabil och har en förmåga att motivera och engagera skolans personal i det skolutvecklande arbetet, även i utmanande situationer. Du har erfarenhet av att handleda personal i syfte att utveckla och differentiera undervisningen, så att alla elever kan lära och utvecklas optimalt utifrån sina förutsättningar. Du kan tillämpa funktionella analyser i praktiken. Krav: Relevant högskoleutbildning med specialistutbildning/påbyggnad inom beteendeanalys. Meriterande: Erfarenhet av att ha handlett i anpassad grundskola samt kring elever med utmanande beteenden i skolan. Utbildning inom KBT(Kognitiv beteendeterapi) och/eller handledarutbildning. Utbildning och god kunskap om neuropsykiatriska funktionsnedsättningar och intellektuell funktionsnedsättning. Erfarenhet av att utbilda inom PBS och TBA, samt att du känner dig helt trygg i den handledande rollen. Ansökan I denna rekrytering lägger vi stor vikt vid personlig lämplighet. Inför tillsättning genomförs kontroll av utdrag från polisens belastningsregister. Intervjuer kommer att hållas på plats i Sollentuna kommunhus under onsdagen vecka 34. Välkommen till Sollentuna – en kommun mitt i möjligheterna! Tillsammans gör vi Sollentuna bättre varje dag för våra invånare, företagare och organisationer. Vi har tydliga och ambitiösa mål för att skapa trygghet, välfärd och hållbar tillväxt. Vi erbjuder dig ett meningsfullt och roligt jobb i en stabil miljö där ambitionsnivån är hög. Hos oss får du fantastiska kollegor som vill göra skillnad för andra. Nu söker vi dig som är nytänkande, ansvarstagande och välkomnande. Följ med oss på resan mot att skapa Sveriges mest attraktiva kommun!

Senior Materials Informatics Engineer Location: Hybrid Company: Ferritico Employment type: Full-time Ferritico is looking for a Senior Materials Informatics Engineer to develop, validate, and productize physics informed machine learning models for advanced materials, with a strong focus on steel, metallurgy, heat treatment, phase transformations, and process-property relationships. This is a mid- to senior-level technical role for someone who enjoys working at the intersection of materials science, computational modeling, machine learning, and product development. About the role You will contribute to the development of computational and machine learning models for metals and metallurgical applications. The role involves translating materials science expertise into clear model logic, validation workflows, technical requirements, and product features. You will help ensure that scientific models are technically sound, well-documented, validated, and aligned with real industrial engineering needs. Key responsibilities Develop computational and ML-based models for steel metallurgy, heat treatment, transformation temperatures, phase transformations, microstructure evolution, and process-property relationships. Define model assumptions, expected behavior, validation datasets, limitations, and acceptance criteria. Improve AI model performance by integrating materials science expertise and physics-informed modeling approaches. Identify data correlations between process, structure, and properties in steel processing and industrial applications. Retrieve, structure, clean, and curate materials data from literature, synthetic datasets, experiments, and other sources. Use Python-based workflows for data treatment, model execution, input preparation, output analysis, and visualization. Test AI software outputs and benchmark results against other simulation or modeling tools. Communicate model behavior, limitations, and results clearly to both technical and non-technical stakeholders. Contribute to documentation, testing, validation reports, and technical decision-making. What we are looking for We are looking for someone with a strong background in materials science, computational materials science, or physical metallurgy. The ideal candidate has: A PhD in Materials Science, Metallurgy, Computational Materials Science, or a related field; or an MSc with relevant experience in materials modeling. Strong understanding of physical metallurgy, preferably including steels, heat treatment, phase transformations, microstructure evolution, and process-property relationships. Experience developing, using, or validating computational models for materials behavior. Familiarity with materials data, alloy compositions, thermal histories, transformation kinetics, or microstructure-property relationships. Ability to use Python for scientific scripting, data treatment, and model prototyping. Strong communication skills and the ability to explain complex materials concepts in a multidisciplinary team. Nice to have Experience with any of the following would be highly valuable: Steel phase-transformation modeling, TTT/CCT diagrams, JMAK kinetics, carbide precipitation. CALPHAD, pycalphad, or similar tools. Alloy design, ICME workflows, ML applied to materials science. Product ownership, technical leadership, or experience translating scientific models into user-facing tools. Data analysis using NumPy, pandas, matplotlib, scikit-learn, Excel-based workflows, or similar tools. This role could be a strong fit if you Recently completed a PhD involving computational or experimental materials modeling. Have an MSc and several years of experience building or using materials models. Enjoy combining materials science with scripting, data analysis, and practical software development. Want to work close to product development rather than only research. Are excited about helping shape digital tools for the future of steel and advanced materials. Why join Ferritico? At Ferritico, you will be part of a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. You will have the opportunity to influence both the scientific foundation and the product direction of tools used for advanced materials development and manufacturing. We value teamwork, curiosity, technical excellence, and clear communication. Not sure you meet every requirement? We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute. How to apply Please send your CV and a short note describing your motivation for the role, along with your relevant experience in materials science, metallurgy, computational modeling, or materials informatics, to: contact@ferritico.com (Please include the job title in the email subject line)

OFFER Net Insight is a pioneering technology company within media networks, resource optimization and time synchronization. Their Zyntai solution is used to distribute highly accurate time in critical 5G and network infrastructure — with nanosecond-level precision and without relying on GNSS. We are now looking for a senior engineer with deep knowledge of automatic control, estimation, signal processing and mathematical modelling — combined with strong software engineering skills in modern C++ and Python. This is not a general C++ role. It is a role for someone who wants to work close to the core algorithms, understand the underlying control problem, and turn advanced theory into robust production software. You will join a highly technical team working with a modern product, senior colleagues and complex real-world engineering challenges. Some of the benefits of working at Net Insight: A world leader in media networks, resource optimization and synchronization technology Work with advanced control algorithms in a real-world, large-scale product A highly technical environment with modern tools and senior colleagues Open and flat organization with strong teamwork and knowledge sharing Family-friendly company with flexible working hours Unusually low turnover and high employee satisfaction   THE PRODUCT AREA Zyntai provides critical infrastructure, such as 5G base stations, with extremely accurate time synchronization. A Zyntai network consists of hundreds or thousands of TimeNodes that continuously exchange time information and measurements. The system uses this data to estimate network and oscillator behavior and to control the local clock in each node. This requires advanced algorithms within control theory, estimation, filtering, signal processing and mathematical optimization. The core challenge is to distribute time over complex networks with extremely high accuracy — without depending on GNSS. For more info about the product, visit: https://netinsight.net/5g-sync   THE ROLE AND TEAMS You will work in the team responsible for the core synchronization functionality in Zyntai. The team develops the algorithms and software used to process measurement data, estimate system behavior and control the oscillator in each TimeNode. You will work with methods such as Kalman filtering, Model Predictive Control, PI/PID controllers, state estimation, signal processing and mathematical optimization. Most implementation is done in modern C++ in the TimeNodes. Python is used for modelling, analysis, tooling, testing and development in Zyntai Director, Net Insight’s Kubernetes-based orchestration system for managing TimeNodes. You need to be comfortable moving between theory and implementation: from mathematical reasoning and control system design to production-quality software in a distributed system. YOUR PROFILE We are looking for a senior engineer who combines strong knowledge within control systems with the ability to build high-quality software. You probably enjoy understanding the underlying system — not just the codebase. You like mathematical and algorithmic challenges, and you are comfortable discussing control loops, estimation, stability, filtering, optimization and real-world system behavior. You do not need to have worked with time synchronization before, but you need strong experience from automatic control, applied mathematics, signal processing, robotics, cybernetics, telecom, industrial systems or similar areas. You need to have: Deep knowledge of automatic control, control theory or cybernetics Practical experience from designing, analysing, tuning or implementing control algorithms Strong mathematical foundation within estimation, filtering, optimization, statistics, signal processing or dynamic systems Experience from methods such as Kalman filtering, MPC, PI/PID, observers, state estimation or system identification Strong software engineering skills in modern C++, preferably C++20/23 Good Python skills Experience from Linux-based development Ability to turn complex algorithms into robust, maintainable production code It is an advantage if you have experience from: Time synchronization, PTP, NTP, SyncE or GNSS-independent systems Distributed or networked systems TCP/IP and network communication Kubernetes or cloud-native systems Real-time or near-real-time systems Graph theory, statistics or mathematical optimization Telecom, 5G, industrial systems or robotics This role is a great fit if you want to work where mathematics, control systems and software engineering meet.   ABOUT NET INSIGHT Net Insight is a global leader in media networks, resource optimization, and streaming solutions. With more than 25 years of experience, Net Insight is a trusted and important partner and a leading force in the media tech industry in creating a better media experience. More than 500 world-class customers run mission-critical media services using Net Insight’s solutions in more than 70 countries worldwide.  Net Insight is listed on Nasdaq Stockholm. For more info, visit https://netinsight.net/ ABOUT PINETREE At Pinetree, we have a vision and mission to differentiate ourselves from the crowd and are Sweden's contenders in talent search and matching. By working as an agency, the value to you as an employee is that we have a wide network of partner companies that we continuously ensure high-quality standards. This recruitment is direct employment at Net Insight AB and all applications, questions, administration, and recruitment processes are managed by Pinetree AB.

What Dirac Offers You Our best-in-class technology has given us a customer base that includes many of the world's most reputable brands. In this role, you will play a key part in making that technology come to life inside high-end consumer electronics products, working at the intersection of deep engineering and customer collaboration. We are on an exciting journey of growth and scale, driven by our ambition to deliver the ultimate audio experience that transforms how the world listens. Your role as Senior DSP Software Developer This is primarily a signal processing role. As a Senior DSP Developer for Dirac Live within Home & Pro, you will implement, refine, test, and evaluate the algorithms at the core of our products: estimation of acoustic systems from measurements, and design of correction filters for calibration and optimization of loudspeakers in real rooms. The team's focus is on productization and continuous improvement of these algorithms, turning them into robust, high-quality features in shipping products. You will work on the core processing behind our flagship Dirac Live technologies, including Dirac Live Active Room Treatment (ART), now shipping with several leading OEMs. Day to day, this means working with digital filters, FIR and IIR, phase behavior including minimum- and mixed-phase systems, frequency- and time-domain analysis of measured loudspeaker-room responses, and trade-offs between correction performance, robustness, latency, and computational cost. Most of the implementation is in modern C++ running locally inside the end-user app, with some parts running in the cloud. Your responsibilities will include: Continuously improve and evaluate the audio processing algorithms, and reason about the audible impact of changes Productize signal processing algorithms into scalable and maintainable C++ code Optimize algorithm complexity (cycles and memory footprint) without compromising audio quality Build and maintain evaluation methods and datasets to quantify audio performance and guard against regressions Assist the product manager in refining complex work items into smaller, valuable, and estimated user stories Test and use our product at home or in the lab Assist with 2nd-line customer support Maintain and improve the infrastructure and processes for build, test, and release Who you are You have a solid theoretical foundation in signal processing and professional experience applying it, not necessarily in audio. If you're not already familiar with room acoustics you can learn them here, however, you must know the fundamentals of signal processing. You should be comfortable discussing practical DSP trade-offs, such as when to choose an FIR filter over an IIR filter, how magnitude and phase response affect timing, ringing, group delay, and latency, and how to reason about systems in both time and frequency domain. Qualifications: M.Sc. or PhD in Signal Processing, Electrical Engineering, Engineering Physics, Applied Mathematics, or a similar field, preferably including advanced coursework in signal processing 5+ years of industry experience, including several years of hands-on professional signal processing work; audio signal processing experience is a strong advantage Solid grounding in digital signal processing theory: e.g. FIR/IIR filter design and trade-offs, magnitude and phase response, group delay, latency, and time- and frequency-domain analysis. Ability to work effectively in a large modern C++ codebase, including reading, debugging, testing, and extending production code. You do not need to be a C++ language specialist, but you should be comfortable turning algorithmic ideas or prototypes, for example in Python or MATLAB, into maintainable implementation. Ability to reason about the audible impact of algorithm changes and performance trade-offs Passion for high-end audio Appreciation for agile development Fluency in spoken and written English A team-oriented attitude, as well as the ability to work independently A valid work permit or citizenship allowing you to work in Sweden Desired qualifications: Experience with room acoustics, acoustic measurements, or room correction technology Experience working hands-on in audio labs: connecting equipment, measuring, testing, and evaluating Experience with software engineering tools (e.g. Git, CMake, Conan) About Dirac Dirac is an audio tech company, known for best-in-class technology and a prestigious customer base that includes many of the world’s most reputable brands. We are passionate about audio and innovation, and our pioneering technology is shaping the future of sound experiences. We are a global company with headquarters in Uppsala, Sweden, and R&D facilities in Copenhagen, Denmark, and Bangalore, India, with representation in Greater China, Germany, Japan, Korea, and the United States. Please read more about us at https://www.dirac.com/ and follow us on Social Media Location The location will be at Dirac’s headquarters in central Uppsala, Sweden. Application The selection process is continuous, and the advert may close before the recruitment process is completed if we have moved forward to the screening or interview phase. Please note that, due to summer holiday, we will not be reviewing applications or responding to candidates during July. We will resume the recruitment process in August. We’re looking forward to your application!

Job Description WHAT YOU WILL DO As a Labor Demand Expert, you own the logic that translates store demand signals into labour hours. You build and continuously improve the global labour demand model, ensuring labour allocation is data‑driven, fair and aligned with both commercial and operational realities across store types and markets. You will: Own and develop the end‑to‑end labour demand model, translating demand signals into task frequencies and labour hours Ensure the model reflects real store activity patterns and evolves with changes in customer behaviour, omnichannel flows and operating models Define, document and maintain assumptions, scaling rules and calculation logic in a clear and structured way Build logic for daily, weekly and seasonal variation, including store‑type and size scaling factors Support scenario modelling to assess labour impacts of new store formats, omnichannel initiatives and process changes Act as a subject matter expert on labour demand logic, providing guidance to both technical and non‑technical stakeholders WHO YOU WILL WORK WITH You will work closely with Controlling, Operations Development, Tech and Workforce Management teams, as well as global teams and Sales Markets. In this role, you partner cross‑functionally to ensure labour demand logic is well understood, consistently applied and fit for scale. WHO YOU ARE You are an analytical and structured problem‑solver who is comfortable working with complex models and translating them into clear, practical insights. We are looking for people with: Experience in retail forecasting, workforce management, labour planning or commercial analytics Strong analytical and modelling skills, with the ability to work with complex data sets Experience translating complex models and assumptions into clear, practical guidance A solid understanding of retail operational drivers such as traffic, deliveries, transactions and omnichannel flows Strong documentation skills and a high attention to detail Fluency in English, both written and spoken WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices and sustainable solutions. We want to liberate fashion for the many and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together we want to use our power, our scale and our knowledge to push the fashion industry towards a more inclusive and sustainable future. Read more about us here. WHY YOU’LL LOVE WORKING HERE At H&M Group we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. An example of our benefits: 25% Staff discount on all our H&M Group brands both in stores and online (H&M, COS, Weekday, Monki, H&M HOME, & Other Stories and ARKET). H&M Incentive Programme – HIP. Learn more about the programme here. JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. This is a permanent position based in Stockholm, please send your CV in English as soon as possible. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application

Chalmers University of Technology strives for academic excellence while addressing the challenges and needs of society and industry. We offer a creative and dynamic environment for research, education, innovation and applied science. Our teachers play a vital role in shaping and renewing education and teaching of high quality, giving students the best possible conditions. We are now inviting applications for a permanent position as Teaching Fellow, contributing to the development of education within Intellectual Property. Chalmers aims to become a globally leading university of technology, driven by high-quality research and education, openness and collaboration. As a Teaching Fellow, you will contribute to this goal through engaging teaching and learning in a collegial and inclusive environment. The position also offers the opportunity to spend up to 20 percent of your working time participating in research or other professional development, enabling you to deepen your subject expertise and further grow as an educator. About the division and department The department of Technology Management and Economics conducts outstanding research within three broad areas: Innovation & entrepreneurship, Supply chain & operations management, and society studies. The position will be placed at the division of Entrepreneurship and Strategy. The division conducts research in innovation, entrepreneurship, strategy, and organisational behaviour. The division of Entrepreneurship and Strategy is a supplier of education, especially to the master program EBD (Entrepreneurship and Business Design) at Chalmers School of Entrepreneurship as well as MEI (Management and Economics of Innovation). The division is also engaged in R&D in collaboration with Chalmers Ventures and Chalmer´s co-owned Lindholmen Science Park. About the role You will teach, develop and lead courses primarily at master’s level. Teaching at other levels may be included. You will teach in the area of intellectual property (IP), with two main focus areas: a) management and strategy of IP in technology-based innovation and b) generation, development, analysis, and management of IP within early-stage entrepreneurial venturing processes. The teaching aims to equip students with knowledge, methods and analytical tools to understand how IP can be identified, packaged, scoped, protected, managed and used strategically in different organizational contexts and venturing processes. The content includes basic knowledge of different forms of IP rights, as well as more advanced perspectives on IP strategy, IP-based value creation, patenting and licensing, partnerships, IP analytics, freedom-to-operate considerations, commercialization, and the role of IP in new venture development, deep-tech entrepreneurship, and established technology-based firms. A central part of the role pedagogically is to connect theoretical frameworks with practical application. This may include case-based teaching, live cases, role-play pedagogy, supervision of student projects, applied workshops and collaboration with external actors from industry, the professional IP community, and the entrepreneurial ecosystem. You will be part of a teacher team that contributes to the development of the educational offering. As a teacher, we expect you to be interested in research and to continuously develop your own competence to be able to base your teaching on recent developments in research and practice. Your job may also include supervision of thesis projects, leadership and administration. Main responsibilities The main duties involve teaching at the first and second cycle levels.   As a Teaching Fellow, you will:   teach and supervise students develop and revise courses and programmes integrate new knowledge and research into education contribute to the pedagogical environment through reflection and collegial learning engage in utilisation and academic citizenship, for example through collaboration with schools or participation in internal committees Up to 20 percent of your working time may be spent participating in research or other professional development, in agreement with your manager. Qualifications A doctoral degree in a field relevant to the position, such as in management, economics, or law with an innovation and/or IP focus, or another closely related field Documented teaching proficiency and experience in teaching at first and second cycle levels Ability to design and develop courses with a reflective and critical approach Strong ability to combine subject expertise with understanding of student learning based on educational research and proven experience Good ability to connect theoretical perspectives with practical application, for example through cases, project-based learning or collaboration with external actors Documented competence in IP, including patents and other forms of IP rights, and their role in innovation, entrepreneurship, technology-based business development, and strategy Experience in course development at higher education level Higher education pedagogical training in accordance with current SUHF recommendations* Good language skills in English, both written and oral, at a level where you are confident to teach *Higher education teaching training in accordance with SUHF's recommendation, which includes higher education teaching courses of at least 15 credits, is required for employment as a Teaching Fellow. If the requirement for higher education teaching courses has not yet been fulfilled, employment may be offered as an Assistant Teaching Fellow. The employee is then expected to meet the requirements within two years and may subsequently be promoted to Teaching Faculty.  It is advantageous to have well documented: experience of teaching IP management, IP strategy, patent strategy, technology commercialization, entrepreneurship, innovation management or related subjects, including technology-related compliance experience of working with IP in practical settings, for example in startups, scaleups, established firms, technology transfer, consultancy, patent-related work, or public/private innovation support organizations experience of case-based, project-based, role play pedagogy and/or challenge-driven learning experience of course development and teaching in interdisciplinary educational environments experience of collaboration with external actors Terms of employment Permanent employment.

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

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:Mechanical modelling and testing for energy solutionsAt NKT in Västerås, you will work with mechanical simulation and testing to support development of high and medium voltage cable systems within a global R&D environment. This role offers involvement in multidisciplinary projects contributing to the green energy transition and collaboration with international partners. Do you want to apply modelling and testing methods to complex mechanical challenges in different industries?   Develop simulations and perform mechanical investigationsIn this role, you will contribute to R&D and consulting projects by applying finite element analysis, designing laboratory tests, and analysing mechanical behaviour across product lifecycles. You will work closely with colleagues in mechanics, materials, and electrical testing, supporting both internal and external stakeholders.   Your responsibility will be to:• Perform finite element analysis for mechanical applications in medium and high voltage systems• Design and build test setups for mechanical investigations• Conduct mechanical testing, including data acquisition and analysis• Understand customer needs and develop analytical solutions using simulation tools• Manage R&D and consulting assignments from planning to reporting   The position is based in Västerås and involves collaboration with international teams across NKT. You will report to the Applied Mechanics Department.   Contribute to energy systems supporting a greener futureNKT is committed to developing a diverse organization and culture where people of diverse backgrounds can grow and are inspired to do their best. We have high ambitions on establishing gender diversity at NKT and encouraging all interested candidates to apply. We believe that a diverse organization enables long-term performance, and that an inclusive and welcoming culture creates a better work environment.At NKT, you will be part of a collaborative team working across disciplines in an international environment. The role offers opportunities to develop technical skills through varied projects and to build connections with global partners and business units.   "As a leader, I value collaboration and curiosity. In this role, you will work closely with colleagues across different disciplines and contribute to solving interesting engineering challenges," says Hiring Manager, Giampaolo Martufi.   Keen on joining a world-leading technology center?NKT is committed to fostering a diverse organization and a culture where people from different backgrounds can thrive and are inspired to perform at their best. We believe that a diverse organization enables sustainable performance, and that an inclusive and welcoming culture makes for a better place to work.  Read more about our offer and listen to some voices of NKT Connectors here!   This is a temporary parental leave cover position (approximately 1 year), with good opportunities for extension. Please apply at our website at latest 26 July. Personality- and capacity tests may occur in our recruitment process. If you have any questions regarding the position, you are very welcome to contact Recruiting Manager Giampaolo Martufi, Giampaolo.Martufi@nkt.com. In case you have any inquiries about the recruitment process please reach out to HR Business Partner, Anna.lundell@nkt.com.Please note that due to the GDPR regulations we cannot accept any applications via e-mail.    Union RepresentativesSveriges Ingenjörer - Zohreh Keshavarz, Zohreh.Keshavarz@nkt.com     We collect confidential candidate experience feedback to improve our recruitment process. Your responses are for quality development only and do not affect hiring decisions.    Be a Connector of the green tomorrow!   Welcome with your application! Profile description:Analytical and collaborative professional in engineering environmentYou approach tasks in a structured and analytical way and communicate clearly with colleagues and stakeholders from different backgrounds. You are comfortable working independently as well as in multidisciplinary teams and value knowledge sharing. You show curiosity for technical challenges and are motivated to find practical solutions through analysis and collaboration. We encourage applications from candidates of all backgrounds, including persons with a disability.   You also have:• M.Sc. or Ph.D. in mechanical engineering or similar, with experience in both structural mechanical simulation and mechanical testing • Knowledge of finite element methods and numerical modelling• Experience working in a laboratory test environment with mechanical equipment• Experience using simulation software such as ABAQUS

About us  At the https://www.chalmers.se/en/departments/me/, we unite the power of technology, people, and society to drive the transition toward a sustainable future. Through research, education, and collaboration, we create solutions that connect materials to mobility, ideas to impact – shaping a resilient and sustainable world. We make impact. The https://www.chalmers.se/en/departments/me/research/marine-technology/ develops knowledge and solutions for the sustainable maritime systems of the future and a fossil-free society. Through interdisciplinary research, we contribute to energy-efficient and safe marine systems with reduced negative environmental impact – from ships and underwater vehicles to offshore structures and renewable ocean energy. Job description     Renewable ocean energy is a vital component of the global transition towards fossil-free energy production and a key contributor to a sustainable future. Technologies such as floating offshore wind, wave energy converters, and floating photovoltaic systems are rapidly advancing and being deployed in offshore environments. The project assistant will contribute to three ongoing research projects within the Division of Marine Technology. These projects are conducted in close collaboration with industrial partners specialising in the development of umbilical cables, mooring systems, and installation solutions for floating renewable energy devices. Two of the projects focus on the structural integrity of highly dynamic power cables. A central challenge is to design cables that can withstand complex mechanical loading while ensuring reliable power transmission over extended service lifetimes, without the need for maintenance or replacement. The third project centres on the development of an advanced lifetime engineering simulation framework, integrating lifecycle assessment (LCA), lifecycle cost (LCC), and lifecycle performance (LCP). As the LCP module is currently under development, the project assistant will play a key role in its completion. This work will include the modelling of fatigue behaviour of mooring systems for floating offshore wind applications, as well as extending the framework to incorporate power cable performance. Who we are looking for  Join us in shaping the future of renewable ocean energy — we’re seeking a passionate and talented colleague ready to make an impact. The following requirements are mandatory:  A master’s or a doctoral degree in Naval Architecture, Ocean Engineering, Marine Technology, Applied Mechanics, or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.   Strong written and verbal communication skills in English.  Good programming skills in Python and in Matlab. Experience in using DNV’s software package Sesam GeniE and the Sesam softwares DeepC, HydroD, and SIMA. Experience in using ABAQUS FE software package. Experience in stress-based fatigue analysis. Personal competences in accordance with the requirements profile, including specification (e.g. social skills, meaning that you enjoy collaborating with others).   The following experience will strengthen your application:  It is highly meritorious if the doctoral degree has been obtained within the last year prior to the application deadline. Verified experience from leading projects and presenting at large international conferences. What you will do  Carry out numerical simulations using SESAM software to analyse the fully coupled hydro-mechanical response of power cables under various sea states, installation conditions, and other parameters evaluated through scenario-based studies in collaboration with industry partners. Perform thermo-mechanical assessments of power cables to quantify how structural integrity is influenced by different power transmission rates. Enhance existing finite element models and conduct stress-based and fretting fatigue analyses, using cable motion characteristics obtained from SESAM simulations. Complete the lifecycle performance (LCP) module within the lifetime engineering framework, with a primary focus on mooring systems for floating offshore wind. The framework will also be extended to include power cables. Input to the LCP module will be provided by partners in an EU-funded project. The module will be developed in MATLAB and integrated with the existing LCA and LCC components. Prepare and submit at least one conference paper and one journal article. Contribute to the preparation of project reports. Participate in project meetings and present progress and results achieved between meetings. Contract terms   The position is a temporary full-time employment for a maximum of 360 days. Starting date: ultimately September 1, but not later than October 1, 2026. What we offer  Read more about  https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/  for employees.  A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en.  Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.  Application procedure  The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  CV  Personal letter  Other documents (optional):   • Copies of completed education, grades etc.   Use the button at the foot of the page to reach the application form.       A background check may be conducted as part of the application process.     Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.    Application deadline:  August 1, 2026 For questions, please contact:  Professor Jonas Ringsberg    mailto:jonas.ringsberg@chalmers.se

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: * Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. * Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. * Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. * GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing * Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. * Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. * Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. * Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. * Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. * Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need * Strong proficiency in SQL and Python. * Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. * Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. * Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: * Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) * Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) * Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) * Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have * Experience in a product-led or SaaS environment, ideally B2B. * Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. * Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who * "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. * Thrives in a fast-paced environment where the answers aren't always clear and processes are few. * Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to.   Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

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're on a quest to find a Data Scientist.  Let us tell you about the role 📖 As a Data Scientist at Nextory, you will be part of our centralized data team, supporting our Business value stream with an analytical mindset and tech-savvy approach to drive sustainable subscriber growth. You will work closely with stakeholders across Business, Marketing, and Product to create data-driven insights and models that improve decision-making and business performance. Some examples of what you might be spending your time on: Owning projections and forecasts related to activations and new paying subscribers Supporting budgeting, forecasting, and ad hoc business analysis with actionable insights Building and improving Nextory’s central data capabilities and ways of working Supporting the Performance Marketing team with MMM, attribution models, and other analytical frameworks to improve marketing efficiency Drive data-informed growth by analyzing user behavior, optimizing funnels, and running A/B tests to improve acquisition and conversion. Build dashboards, reporting tools, and measurement frameworks in collaboration with Product and Business to provide clear performance insights and support Nextory’s growth strategy. The main character we’re looking for 👀 We believe that you are currently working in a similar role at a fast-moving, product-focused company. You enjoy solving complex business challenges through data and are confident working with multiple stakeholders and know how to balance business needs with analytical rigor. Furthermore, we believe you have: Several years of experience working as a Data Scientist or Data Analyst Strong knowledge of SQL and Python Experience working with performance marketing, attribution modeling, Marketing Mix Modeling (MMM), or related analytical methods Good understanding of digital marketing channels such as Google Ads, Meta, SEO, and online customer acquisition Experience building dashboards or working with BI tools (e.g. Looker, Tableau, or similar) 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. Applications are reviewed continuously, if you have any questions about the role, please contact Erika Thorslund, Talent Acquisition Partner, erika.thorslund@nextory.com Please note that we do not offer relocation and that a six-month probationary period applies.

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're on a quest to find a Data Scientist.  Let us tell you about the role 📖 As a Data Scientist at Nextory, you will be part of our centralized data team, supporting our Business value stream with an analytical mindset and tech-savvy approach to drive sustainable subscriber growth. You will work closely with stakeholders across Business, Marketing, and Product to create data-driven insights and models that improve decision-making and business performance. Some examples of what you might be spending your time on: * Owning projections and forecasts related to activations and new paying subscribers * Supporting budgeting, forecasting, and ad hoc business analysis with actionable insights * Building and improving Nextory’s central data capabilities and ways of working * Supporting the Performance Marketing team with MMM, attribution models, and other analytical frameworks to improve marketing efficiency * Drive data-informed growth by analyzing user behavior, optimizing funnels, and running A/B tests to improve acquisition and conversion. * Build dashboards, reporting tools, and measurement frameworks in collaboration with Product and Business to provide clear performance insights and support Nextory’s growth strategy. The main character we’re looking for 👀 We believe that you are currently working in a similar role at a fast-moving, product-focused company. You enjoy solving complex business challenges through data and are confident working with multiple stakeholders and know how to balance business needs with analytical rigor. Furthermore, we believe you have: * Several years of experience working as a Data Scientist or Data Analyst * Strong knowledge of SQL and Python * Experience working with performance marketing, attribution modeling, Marketing Mix Modeling (MMM), or related analytical methods * Good understanding of digital marketing channels such as Google Ads, Meta, SEO, and online customer acquisition * Experience building dashboards or working with BI tools (e.g. Looker, Tableau, or similar) 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 💫. Applications are reviewed continuously, but please note that due to summer vacations, our response times may be a little longer than usual. If you have any questions about the role, please contact erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python. Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.