Robotics and Automation
[Open soon]
Work description
The selected candidate will have the following main responsibilities: The selected candidate will have the following main responsibilities: Supporting the technical and scientific coordination of R&D projects, including planning, task monitoring, team management, preparation of technical reports, and liaison with industrial and scientific partners. Contributing to the identification of funding opportunities and preparation of applications in the scientific field. Formulating, implementing, and validating automated inspection methodologies based on advanced sensing systems, artificial intelligence, and robotics. Investigating and developing solutions for locating and manipulating semi-rigid objects or complex geometry. Investigating machine learning strategies with limited data, including the generation of synthetic data in simulation environments, to strengthen the robustness of models in the face of variations in process, defects, materials, and operating conditions. Producing transferable technical and scientific knowledge, including prototypes, demonstrators, technical reports, scientific articles, conference presentations, and participation in activities to disseminate and promote the results of the projects. Support the technical and scientific coordination of R&D projects, including planning, task monitoring, team management, preparation of technical reports, and liaison with industrial and scientific partners. Contribute to the identification of funding opportunities and the preparation of applications in the scientific field. Formulate, implement, and validate automated inspection methodologies based on advanced sensing systems, artificial intelligence, and robotics. Investigate and develop solutions for the location and manipulation of semi-rigid objects or complex geometry. Investigate machine learning strategies with limited data, including the generation of synthetic data in simulation environments, to strengthen the robustness of models in the face of variations in process, defects, materials, and operating conditions. Produce transferable technical and scientific knowledge, including prototypes, demonstrators, technical reports, scientific articles, conference presentations, and participation in activities to disseminate and promote the results of the projects.
Academic Qualifications
PhD in Electrical and Computer Engineering, and related fields.
Minimum profile required
Proven experience in developing R&D projects with industry.Specialized technical knowledge in industrial robotics, computer vision systems, and artificial intelligence applied to localization, inspection, and quality control operations.Experience in the development, integration, or validation of robotic solutions and/or automated systems in laboratory or industrial environments.Experience in developing synthetic datasets using simulation environments.Knowledge and experience with the ROS framework.Knowledge of C++ and Python programming.Familiarity with the theory and implementation of generative models, namely diffusion models and GANs, applied to the generation of synthetic data.Demonstrated ability to produce project reports, scientific articles, and dissemination materials in the scientific area of ??the call for proposals.Fluency in spoken and written English.
Preference factors
The following elements will be valued: Experience with machine learning and computer vision libraries, frameworks and methods, namely scikit-learn, YOLO, PyTorch, torchvision, OpenCV or equivalents. Experience in preparing applications for competitive funding projects and/or building relationships with industrial partners.
Application Period
Since 12 Jun 2026 to 26 Jun 2026
[Open soon]
Centre
Robotics in Industry and Intelligent Systems