2026_97_ROBOTICS & AI ENGINEER _COMPUTER VISION
hace 8 días
Badalona
ph3JOB DESCRIPTION /h3 pThe successful candidate will join the Germans Trias i Pujol Research Institute (IGTP) as part of a multidisciplinary team developing AI-based computer vision systems for surgical instrument recognition, at the intersection of artificial intelligence, computer vision and clinical practice. /p pThe project is carried out in collaboration with HealthTech Innovations and is deployed on a robotic platform used in the central sterilization unit and operating rooms of the Hospital Universitari Germans Trias i Pujol. /p pThe role is centered on the design, training and optimization of computer vision and deep learning algorithms — covering the full pipeline from data acquisition and labeling to model training, evaluation and deployment. The robotic platform on which these algorithms run is developed and maintained by the project's robotics engineering team; prior professional experience in industrial robotics is not required, although a basic understanding of how perception systems interact with robotic control loops is expected and can be consolidated on the job. /p pThis position requires a high level of technical autonomy: writing, testing and maintaining production-level code, training and iterating on models, and contributing to architectural decisions for the AI system. Candidates able to take ownership of the technical roadmap independently — whether coming from a senior background or from a strong junior profile with some hands‑on experience — are especially encouraged to apply. /p pThe position is part of a strategic research and innovation project with strong clinical impact, aimed at advancing the state of the art in computer vision for medical devices and supporting the digital transformation of surgical workflows. /p h3MAIN RESPONSIBILITIES /h3 ul liThe selected candidate will play the lead technical role in the development of the AI-based surgical instrument recognition system, with direct responsibility for the design, training and performance of its computer vision and machine learning components. /li liMain responsibilities include the design and development of computer vision pipelines for surgical instrument detection, classification and tracking, covering the full lifecycle from data acquisition and preprocessing to model training, evaluation and deployment. The candidate will write, optimize and maintain production-quality code, ensuring robustness, scalability and reproducibility of the AI models. /li liThe role involves training and fine‑tuning machine learning and deep learning models, selecting appropriate architectures, defining evaluation metrics and implementing strategies to improve accuracy and generalization in real hospital environments. The candidate will lead the generation of datasets, including defining labeling strategies and data augmentation techniques, and will iterate on models based on validation results. /li liWorking in coordination with the robotics engineering team at HealthTech Innovations, the candidate will support the integration of the AI/computer‑vision modules into the robotic platform, focusing on the perception side of the perception–action loop. Deep involvement in the mechanical or control engineering of the robotic platform itself is not expected. /li liThe candidate will also be involved in testing and validating the system in the central sterilization unit and operating room, analyzing performance, identifying limitations and proposing technical improvements. /li liDocumentation of algorithms, code and experimental results will be part of the role, supporting regulatory processes and scientific dissemination. /li liOverall, this position entails a high level of technical responsibility and autonomy, with a strong focus on applied AI and computer vision, and a direct impact on the development of a novel medical device for surgical environments. /li /ul h3QUALIFICATIONS AND EXPERIENCIE /h3 ul liDegree in Computer Science, Telecommunications Engineering, Data Science, Artificial Intelligence, Mathematics/Physics with a computational focus, or a related technical field. /li liA Master’s degree or specialized training in Artificial Intelligence, Machine Learning, Deep Learning or Computer Vision; or equivalent professional experience in the development and application of these technologies. /li liCandidates with a background in Robotics Engineering or Automation are equally welcome, provided they can demonstrate strong, hands‑on AI/computer‑vision experience. /li liProven, hands‑on experience developing computer vision and deep learning systems for real‑world applications: object detection, segmentation, classification and/or tracking. /li liProficiency in Python, together with practical experience in at least one major deep learning framework (PyTorch or TensorFlow). /li liExperience with OpenCV. /li liExperience with the full model lifecycle — dataset generation, labeling strategy, data augmentation, training, evaluation and iterative optimization — is expected, ideally in applied or industrial contexts rather than purely academic settings. /li liKnowledge of surgical instruments or medical environments will be considered an asset, although strong motivation and the ability to quickly adapt to a hospital setting are equally important. The role involves working closely with clinical staff, so the candidate must be comfortable operating in multidisciplinary environments. /li liFluency in Spanish, given the need to coordinate directly and fluidly with clinical staff; Catalan is valued as an asset. A good level of English is also expected, for technical documentation, scientific communication and collaboration with academic partners. /li liThe candidate should demonstrate strong problem‑solving skills, autonomy and a proactive attitude, together with genuine ownership of technical decisions — this is a role for someone who wants to drive the AI/computer‑vision development of the project, not simply execute predefined tasks. /li liAvailability to commute regularly to the Hospital Universitari Germans Trias i Pujol or to the HealthTech Innovations S.L. offices, the technical partner in the consortia, in Premià de Mar is mandatory. /li /ul h3Valuable /h3 ul liKnowledge of C/C++ and of robotics middleware (e.g. ROS). /li liPrior exposure to robotic perception systems or to the integration of AI components into a robotic platform (training on the specific platform will be provided). /li /ul h3WHAT WE OFFER /h3 ul liIndefinite contract by science law linked to the project: Project CPP is funded by MICIU/AEI/ / / FEDER, EU (100% dedication to the project by the hired person). (Contrato indefinido por actividades científico-técnicas) /li liWe offer an immediate incorporation into a highly innovative applied research and development project at the intersection of artificial intelligence, robotics and healthcare, with direct impact on real clinical environments. /li liThe position is full‑time, with a 39‑hour work week, offering a flexible working schedule. /li liThe role allows for partial remote work, while requiring regular on‑site collaboration sessions at the offices of HealthTech Innovations in Pineda de Mar, as well as presence at the Hospital Universitari Germans Trias i Pujol when project activities require it. This hybrid model ensures both technical focus and close coordination with the development and clinical teams. /li liThe position includes 23 days of paid annual leave, plus 5 additional days for personal matters, + 2 days for Easter + 2 days for Christmas supporting a healthy work–life balance. /li /ul h3FOR MORE INFORMATION /h3 h3HOW TO APPLY /h3 pInterested persons must attach to the application: /p ul liMotivation letter explaining their interest in the position. /li liUpdated CV. /li liContact of 2‑3 references. /li /ul pApplications will be evaluated in accordance with the guiding principles and objectives of the supply systems, following the process described below. /p ul libCurricular evaluation /b: analysis of the curriculum vitae to assess aspects related to training, professional career and experience in positions related to the job position under selection. /li libPersonal interview /b: once the résumé has been evaluated, the selected candidates will be called for a personal interview to verify and expand on the information detailed in the résumé and to evaluate aspects related to experience and professional skills. /li /ul pApplications that do not meet the requirements, that are not included in the cases foreseen or that are not processed in accordance with the established procedure will not be considered in the selection process. /p h3DEADLINE FOR APPLICATIONS /h3 pThe call for applications will close on bJuly 22nd /b, b2026 /b /p /p #J-18808-Ljbffr
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