03 set - Roma
Generative Bionics
pstrongLocation: /strongVia Melen 83, 16152 Genoa, Italy /ppstrongContract: /strongFull-time, Permanent /ppstrongLocation: /strongVia Melen 83, 16152 Genoa, Italy /ppstrongContract Type: /strongPermanent, Full-time /ppbr / /ppstrongAbout Us /strong /ppGenerative Bionics is a deep-tech company building humanoid robot platforms to deploy human-centered Physical AI. We design intelligent, capable machines that work alongside people in real-world environments, developed in Genoa, Italy. /ppbr / /ppstrongRole /strong /ppWe are looking for a strongBiomechanics Engineer /strong to support the development of data-driven rehabilitation and humanoid robotics technologies. The role focuses on acquiring, synchronizing, validating, and interpreting multimodal human motion data, and on transforming these measurements into reliable human body models and biomechanical digital representations. /ppYou will work at the intersection of sensorized data acquisition, biomechanics, robotics, and AI. You will help design and operate measurement workflows using wearable sensors, motion capture, force and pressure platforms, EMG, and smart shoes. The goal is to build high-quality datasets and patient- or subject-specific models that connect measured movement, forces, pressure, and neurophysiological signals with interpretable analytics and safe robotic interaction. /ppThe role also includes contributing to our teleoperation technologies, both through software development activities and through hands-on operation of teleoperation systems during data collection, validation campaigns, and robot testing. /ppThe ideal candidate is hands-on, rigorous, and comfortable working with complex experimental setups, human movement data, and multidisciplinary teams. /ppbr / /ppstrongResponsibilities /strong /pulliDesign, prepare, and execute human motion data acquisition sessions using wearable sensors, motion capture systems, force/pressure platforms, EMG, smart shoes. /liliValidate wearable sensing systems against laboratory reference measurements (e.G., motion capture, force platforms), define benchmarking methodologies, and report quantitative performance metrics. /liliSynchronize and validate multimodal kinematic, dynamic, pressure, and neurophysiological data streams. /liliBuild, curate, and document structured datasets for human movement analysis, biomechanical modelling, AI training, and clinical or experimental validation. /liliDevelop and maintain pipelines for data cleaning, calibration, segmentation, quality control, annotation, and traceability.
/liliContribute to the development and maintenance of software pipelines for human sensing, teleoperation, and dataset generation, including synchronization, monitoring, logging, and data quality assurance. /liliOperate teleoperation systems during data collection, validation campaigns, and robot testing activities, contributing to the continuous improvement of teleoperation procedures and tools. /liliSupport the creation of biomechanical digital models that link measured motion, forces, pressure, and physiological signals to interpretable indicators. /liliCollaborate with AI engineers, roboticists, clinicians, and hardware teams to connect human motion data with explainable models, robot control, and validation protocols. /liliDefine and monitor technical quality metrics for acquisition repeatability, reconstruction accuracy, force estimation, data completeness, and model reliability. /liliPrepare technical documentation, experiment reports, acquisition protocols, and reproducible validation material. /liliContribute to safe and compliant data handling, with attention to privacy, traceability, auditability, and interoperability requirements. /li /ul pstrongRequirements /strong /pulliMaster’s degree in Biomedical Engineering, Robotics, Mechanical Engineering, Computer Science, Data Science, or a related technical field. /liliPractical experience with human motion acquisition, biomechanics, robotics experiments, or sensor-based data collection. /liliStrong understanding of kinematics, dynamics, signal processing, human movement analysis, and experimental validation. /liliStrong Python programming skills for data processing, analysis, visualization, and automation. /liliPractical software development experience in C++ for robotics, human motion analysis, sensor integration, and data-processing pipelines. /liliFamiliarity with robotic software architectures, middleware and frameworks used for integrating sensing, control, teleoperation, and data-processing components. /liliExperience working with multimodal time-series data from sensors such as IMUs, motion capture, force plates, pressure platforms, EMG, or wearable devices. /liliAbility to design structured acquisition protocols, manage calibration procedures,
and assess data quality and repeatability. /liliInterest in teleoperation, human-in-the-loop robotics, and human motion digitization technologies, with the ability to contribute both to software development and experimental activities. /liliFamiliarity with human body models, biomechanical simulation, digital twins, or musculoskeletal modelling. /liliAbility to work effectively in laboratory environments and coordinate with technical, clinical, and robotics stakeholders. /liliHands-on experience working with wearable sensing systems, motion capture technologies, robotic platforms, or complex experimental setups. /liliGood documentation habits and attention to reproducibility, traceability, and experimental rigor. /li /ulpbr / /ppstrongValued Extras /strong /pulliExperience with clinical, rehabilitation, sports science, ergonomics, or assistive robotics applications. /liliFamiliarity with robotic simulation environments. /liliExperience with sensor fusion, pose estimation, movement segmentation, motor phase recognition, or force estimation. /liliKnowledge of data interoperability standards or healthcare data structures, including HL7/FHIR. /liliExperience preparing experimental protocols, validation reports, technical documentation, or scientific publications. /liliFamiliarity with teleoperation systems, human-in-the-loop robotic control, digital human modelling, or data-driven robotics applications. /li /ulpstrongWe Offer /strong /pulliThe chance to build core data acquisition and biomechanical modelling capabilities for real-world human-centered robotics. /liliA collaborative environment with tight feedback loops between biomechanics, AI, robotics, clinical, and hardware teams. /liliThe opportunity to contribute to technologies that make rehabilitation and physical interaction more measurable, explainable, and repeatable. /liliA stimulating and informal work environment, working closely with highly skilled technical and research teams. /liliConcrete opportunities for professional growth. /liliEnvironment: An informal, fast-paced, and meritocratic startup context driven by Agile methodologies. /liliCompensation: Competitive salary and contract commensurate with experience. /li /ulpbr / /ppstrongDisclaimer /strong /ppWe are proud to be an Equal Opportunity Employer. We evaluate all qualified applicants solely on the basis of merit and business needs, without distinction or discrimination based on gender, race, color, ethnic or social origin, age, religion, sexual orientation, gender identity, disability, or any other characteristic protected by law. /p
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