Zivid AS
ABOUT ZIVID Zivid is one of Norway's most ambitious new technology companies, serving the global robotics market with our 3D computer vision solutions. Our innovative 3D cameras, serving as the eyes of robots, are essential in automating manufacturing and logistics around the world. With nearly 100 employees, offices in five countries, and a diverse global customer base, Zivid is shaping the future of machine vision and robotics. THE OPPORTUNITY Join us as a Field Product Specialist and play a pivotal role in working with our most innovative and strategic customers. Your expertise in our 3D camera technology will help develop optimal solutions in robotic applications, specifically in the Factory and eCommerce automation domains. You will become part of a small, cross-functional Product team where we foster a fun, collaborative, curious and high-energy environment. If you're passionate about cutting-edge technology and tackling new challenges hands-on, we're excited to have you on board. JOB DESCRIPTION As a Field Product Specialist, you will be deployed to our most challenging and important customers in strategic market segments with the goal of making them successful. You will consult and aid our strategic and lead customers by working closely with them to understand what they need, why they need it, how we can help solve their problems today and what we can do to solve their problems tomorrow. You will bring these learnings and insights back to the team, utilizing your subject matter expertise for sales training, product marketing and to assist Product Management in verification and definition of product requirements and product-market-fit. Your role will involve: Consulting with key customers to optimize solutions using our products Establishing yourself as an industry expert in specific automation areas Conducting market research and staying updated with industry trends and technologies Collaborating with internal teams to create technical marketing materials, including public product marketing content and internal training for sales and application engineers Traveling to visit customers worldwide Influencing our product roadmap and market strategies with your insights KEY RESPONSIBILITIES Engage with customers that work with cutting-edge solutions in our strategic markets Maintain in-depth knowledge of the competitive landscape and technological advancements Develop and share knowledge assets for market positioning Collaborate with cross-functional teams for aligned efforts in sales, marketing, and product development Contribute to strategic direction, particularly in product development and market engagement WE ARE LOOKING FOR A PROFESSIONAL WITH Background in engineering or technology Exceptional communication and leadership skills Experience in product development Motivation to work with customers and ability to travel to visit them A proactive and problem-solving approach WE OFFER Competitive compensation package, including sign-on stock options package, competitive pension scheme, and premium health insurance plan A core technology role in an emerging international scale-up company Empowerment and autonomy with ample room for personal and professional growth, nurtured by a culture of innovation A collaborative culture that values innovation and creativity Catered lunches with healthy eating options Social events like climbing, running, cage ball, movie night, and company cabin trips A positive and inclusive work environment where people enjoy working together and supporting each other POSITION DETAILS Deadline: We review applications continuously, but no later than February 28th Start date: As soon as possible, subject to mutual agreement Location: Oslo, Norway - This is an on-site position Qualified applicants from all over the world are encouraged to apply. We support relocation, visa application and language courses for employees moving to Norway. The official language of the company is English. If you're driven and passionate about innovative challenges in 3D camera technology, we would love to hear from you.
Inria
Type de contrat : CDD Niveau de diplôme exigé : Bac + 5 ou équivalent Fonction : Doctorant Contexte et atouts du poste Context and funding: This position is funded by the PEPR AS3 project. Within this framework, the HUCEBOT team is developing multimodal strategies for online control and adaptation of dynamic legged robot platforms. This PhD project explores quality diversity optimization as an alternative to traditional reinforcement learning for robot control. While reinforcement learning typically converges to a single solution for a specific task, quality diversity methods learn repertoires of policies that can solve different tasks or approach the same task in multiple ways. The research will investigate structured approaches to policy search, combining behavioral exploration, diversity-driven optimization, and meta-learning for rapid adaptation. A particular focus will be on integrating multimodal human feedback to enable intuitive adaptation in collaborative scenarios involving physical interaction, such as assistive manipulation or wearable exoskeletons. The goal is to develop more flexible and adaptable robot behaviors suited for real-world human-robot collaboration. About the team: The candidate will join the Human Centered Robotics team (HUCEBOT) in the Inria Center of the University of Lorraine in Nancy, France. The team HUCEBOT develops control, learning, and interaction skills of human-centered robots, such as humanoid, mobile manipulators and exoskeletons. The team develops learning and control algorithms for teleoperated / supervised / autonomous robots, involved in complex manipulation tasks in man-made environments. It also develops AI-based control for wearable exoskeletons designed to assist humans at work, drones and quadrupeds to explore complex environments. The team has excellent robotics facilities, including several humanoid robots (Talos, iCub, G1), manipulators, drones, passive and active exoskeletons, wearable sensors, force plates etc. Its laboratory has a 3D printing facility and a mechatronic workshop for prototyping and maintenance, and a motion capture room with Qualisys and Xsens sensors. The team consists of many research scientists, postdocs, PhD and has the support of 1 software and 1 mechatronics engineer. The team is international - English and French speaking. French is not required, although free French classes are available in the institute for non-French speakers. About the laboratory and Nancy: The Inria Center of the University of Lorraine, is co-located with the Loria laboratory, in the Science and Technology Campus of the University of Lorraine (Nancy, France), next to the Botanical Gardens, at 20 minutes by public transportation or bike from the Nancy train station and City Center. Several student residences and facilities are at walking distance. Nancy is a University town, with a high quality of life and a vibrant student, Erasmus and expat community. Life is Nancy is very affordable compared to Paris, it is easy to find a student residence or apartment. Team members can also access to SUAPS, the University’s sports facilities. About Nancy in France: Nancy is the capital of the Grand Est region in France. It is well connected by train to Paris (90 min), Strasbourg (90 min), Luxembourg and Germany. There are direct trains from Nancy to the Paris airport CDG and the Luxembourg airport LUX. The region around Nancy is ideal for outdoor activities: there are many country trails, long bike trails, forests, mountains, lakes, ski in winter too. Mission confiée This PhD project explores quality diversity optimization as an alternative to traditional reinforcement learning for robot control. While reinforcement learning typically converges to a single solution for a specific task, quality diversity methods learn repertoires of policies that can solve different tasks or approach the same task in multiple ways. The research will investigate structured approaches to policy search, combining behavioral exploration, diversity-driven optimization, and meta-learning for rapid adaptation. A particular focus will be on integrating multimodal human feedback to enable intuitive adaptation in collaborative scenarios involving physical interaction, such as assistive manipulation or wearable exoskeletons. The goal is to develop more flexible and adaptable robot behaviors suited for real-world human-robot collaboration. The candidate will collaborate with Guillaume Bellegarda (researcher), Enrico Mingo Hoffman (researcher), Jean-Baptiste Mouret (researcher), Serena Ivaldi (researcher), and Mohamed Chetouani (Professor, Sorbonne Université). Principales activités Review state-of-the-art in quality diversity optimization and meta-learning for robot control. Develop learning-based frameworks for acquiring diverse policy repertoires. Investigate online adaptation and policy selection strategies for dynamic task variations. Integrate multimodal human feedback for adaptive human-robot collaboration. Deploy and validate controllers in hardware experiments on collaborative robotic platforms. Analyze results, write papers and dissertation. Compétences Technical skills: Background in robotics, control, machine learning. Excellent skills and/or experience with simulation frameworks (i.e. Isaac, MuJoCo), reinforcement learning, and motion planning Excellent skills in Python, C++, ROS Interest and preferably experience in manipulation and legged robots Soft skills: Excellent communication skills at work, and ability to report progress Not afraid of challenging projects. Rigour and intellectual honesty Curiosity and desire to learn Practical mindset and ability to develop robust and reliable solutions Autonomy and organizational skills Love working in a multi-cultural environment Team player Avantages Restauration subventionnée Transports publics remboursés partiellement Congés: 7 semaines de congés annuels + 10 jours de RTT (base temps plein) + possibilité d'autorisations d'absence exceptionnelle (ex : enfants malades, déménagement) Possibilité de télétravail (après 6 mois d'ancienneté) et aménagement du temps de travail Équipements professionnels à disposition (visioconférence, prêts de matériels informatiques, etc.) Prestations sociales, culturelles et sportives (Association de gestion des œuvres sociales d'Inria) Accès à la formation professionnelle Sécurité sociale Rémunération 2300 € gross/month Informations générales Thème/Domaine : Robotique et environnements intelligents Calcul Scientifique (BAP E) Ville : Villers lès Nancy Centre Inria : Centre Inria de l'Université de Lorraine Date de prise de fonction souhaitée : 2026-03-01 Durée de contrat : 3 ans Date limite pour postuler : 2026-02-19 Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti. Consignes pour postuler Sécurité défense : Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement. Politique de recrutement : Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap. Contacts Équipe Inria : HUCEBOT Directeur de thèse : Bellegarda Guillaume / L'essentiel pour réussir Excellent communication in English, French is a plus. Ideal profile: Master Degree studies in Robotics, Control, Engineering, Bio-engineering, or relevant fields. IMPORTANT We will only consider applications with the following attachments (add them in the PDF when completing the application): 1) Transcripts of your University classes (Bachelor, Master, Engineering School...) 2) Your CV should mention all the places where you studied, starting from High School, so please list High School, University, Bachelor/Master, College, Engineering School, Classe Preparatoires, etc. Please mention city and country. A propos d'Inria Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.