Openings/Opportunities

Activity:The selected candidate will support the research team across core R&D activities of theForestSphere project. Specifically, the candidate will be involved in: Integration and configuration of hardware components, including sensors, computing units andcommunication modules, for data acquisition in forest environments. Development and testing of ROS-based sensor drivers and low-level interfaces (e.g., LiDAR, camerafeed acquisition, serial protocols, etc.) for reliable field data collection. Implementation and execution of mapping software testing procedures to ensure system stability andperformance across different modules. Participation in pilot trials, including setup, on-site support, data collection, and post-trial evaluation ofsystem performance. Assisting with iterative validation of the digital twin infrastructure, including feedback-driven adjustmentsbased on experimental results.
Academic level: Bachelors/BSc. in the areas of Electrical and Computer Engineering, Robotics,Mechanical Engineering, Computer Science, or a related area, enrolled in a master’s program or a non-degree course in Portugal.
Duration:0
Scientific Orientation: D. Portugal, P. Peixoto,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/346017
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Activity:The selected candidate will support the ForestSphere research team by leading R&D tasksrelated to the integration of semantic segmentation with metric-semantic mapping for Digital Twin applicationsin forestry. Specifically, the candidate will be responsible for: Development/optimization of real-time machine learning-based image segmentation pipelines for thedetection and classification of forest-relevant entities (e.g., trees, trails, vegetation classes) using RGBand/or depth sensor data; Projection and fusion of semantic labels onto spatially consistent 3D maps to build metric-semanticrepresentations of the environment; Extension and adaptation of an existing metric mapping frameworks (e.g., Voxblox, NanoMap, SSMI,DUFOMap, i-Octree, H2-Mapping, DSP-Map, Bonxai, VDB_GPDF, etc.) to support layered data (e.g.,RGB texture, semantic classes); Integration of semantic mapping with SLAM pipelines; Development of modular and reusable software components to ensure compatibility and integration withthe ForestSphere Digital Twin architecture; Participation in pilot deployments, including performance evaluation and system validation in real-worldforest environments; Contribution to the iterative refinement of semantic mapping tools based on experimental feedback andoperational requirements.
Academic level: Masters/MSc. in the areas of Computer Science, Robotics, Electrical andComputer Engineering, Engineering Physics or a related area (see selection criteria). At the time of contractsignature, the chosen candidate must be enrolled in a doctoral program or a non-degree course in Portugal.
Duration:0
Scientific Orientation: D. Portugal, P. Peixoto,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/346018
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Activity:The selected candidate will support the ForestSphere research team by leading R&D activitiesfocused on the development of efficient and scalable 3D mapping solutions for Digital Twin applications inforestry. The primary focus will be on optimized data structures and system integration for large-scale andmulti-layered map generation and maintenance. Specifically, the candidate will be responsible for: Familiarization with ROS-based systems and state-of-the-art 3D efficient mapping frameworks (e.g.,Voxblox, NanoMap, SSMI, DUFOMap, i-Octree, H2-Mapping, DSP-Map, Bonxai, VDB_GPDF); Implementation of real-time and computationally efficient 3D mapping pipelines using LiDAR andRGB(D) cameras, supporting robust data acquisition and visualization in forest environments; Design and development of scalable map data structures to enable layered representation (e.g.,geometry, RGB texture, semantic labels), persistent storage (file-based save/load), and externalinterface access via APIs; Evaluation and selection of the most suitable mapping framework(s) considering the ForestSphereproject objectives, including experimental extension and adaptation to meet forest-specific challenges; Performance assessment of mapping solutions on real data collected in natural forest environments,focusing on metrics such as accuracy, scalability, completeness, and semantic consistency; Development of modular and reusable software components to ensure seamless integration with theForestSphere Digital Twin architecture; Participation in pilot deployments, including system setup, on-site validation, and iterative refinement ofthe mapping subsystem based on feedback from field trials and operational constraints.
Academic level: Masters/MSc. in the areas of Computer Science, Robotics, Electrical andComputer Engineering, Engineering Physics or a related area (see selection criteria). At the time of contractsignature, the chosen candidate must be enrolled in a doctoral program or a non-degree course in Portugal.
Duration:0
Scientific Orientation: D. Portugal, P. Peixoto,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/346020
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Activity:The selected candidate will support the ForestSphere research team by leading R&D tasksrelated to the fusion of multimodal data and the integration of heterogeneous mapping systems for DigitalTwin applications in forestry. Specifically, the candidate will be responsible for: Development of ROS-based tools and pipelines for synchronizing and integrating sensor data into theForestSphere mapping infrastructure, and consequent internal visualization; Development of real-time mapping capabilities leveraging GNSS-RTK localized sensor data and UAV-derived global information to improve spatial consistency and coverage; Integration of ISR-UC's efficient mapping framework with partner modules through modular APIs andmiddleware interfaces to support the ForestSphere Digital Twin; Evaluation and testing of SLAM methods suitable for deployment in forest environments, especially inunder-canopy conditions using UGVs, with potential extension to UAV platforms; Fusion of mapping data from diverse sources (LiDAR, RGB-D, RTK GNSS, orthomosaics, etc.) intocoherent representations using photogrammetry, map stitching, and remote sensing techniques; Study efficient integration methods for multimodal sensing data—including UGV, UAV, and satellitesources—to enable robust, multi-perspective 3D forest mapping; Participation in field deployments, including data acquisition, performance benchmarking, and validationof the integrated multimodal mapping system
Academic level: Masters/MSc. in the areas of Computer Science, Robotics, Electrical andComputer Engineering, Engineering Physics or a related area (see selection criteria). At the time of contractsignature, the chosen candidate must be enrolled in a doctoral program or a non-degree course in Portugal
Duration:0
Scientific Orientation: D. Portugal, P. Peixoto,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/346022
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Activity:The selected postdoctoral researcher will provide advanced expertise and leadership inmultimodal sensor data fusion for 3D forest mapping using ground vehicles equipped with diverse sensingmodalities. The role focuses on developing and integrating robust mapping and digital twin solutions within theForestSphere project framework. Specifically, the candidate will be responsible for: Designing and implementing fusion pipelines for multimodal sensor data, including 3D LiDAR, RGB-Dcameras, multispectral and event-based cameras, RADAR, IMU, and GNSS-RTK, to generate accurateand comprehensive 3D maps of forest environments. Collaborating closely with project partners to integrate sensor-derived mapping data with GIS systems,ensuring seamless interoperability within the Digital Twin architecture. Leading the refinement and extension of the efficient mapping architecture developed at ISR-UC,including the enhancement of semantic mapping layers and the development of the modular,interoperable, large-scale and efficient mapping API. Mentoring, and providing technical guidance to junior researchers within the project, maintaining regularmeetings to support their progress and align their work with project goals. Actively participating in all project partner meetings, including technical and quality managementsessions, to coordinate research activities and ensure adherence to project milestones. Preparing and delivering high-quality project documentation, including technical deliverables andscientific publications, focusing on multimodal data fusion, mapping innovations, and Digital Twinapplications. Managing, planning, execution, and analysis of pilot deployments in real-world forest environments,coordinating performance evaluations and system validations to assess accuracy, robustness, andscalability of developed solutions.
Academic level: PhD holder in the areas of Computer Science, Robotics, Electrical and ComputerEngineering, Engineering Physics or a related area (see selection criteria). The doctoral degree must have been obtained within the last three years prior to the date of submission of theapplication (i.e., after June 15, 2022). The research work leading to the PhD degree must not have been conducted at the host institution of theresearch grant (i.e., ISR-UC).
Duration:0
Scientific Orientation: D. Portugal, P. Peixoto,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/346023
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Activity:The laboratory technician hired will be responsible for supporting research activities, development,maintenance and training of new students in the laboratories, for the area of advanced materials and sensors,including the following tasks: a) Electromechanical Characterization and Microscopy; b) Digital Fabrication and Printed and Electronic Sensors; c) Advanced Sensors
Academic level: Master's or Bachelor's degree in Electrical Engineering, Physics, Biomedical Engineering, MechanicalEngineering or related areas;
Duration:0
Scientific Orientation: M. Tavakoli,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/345662
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Activity:The laboratory technician hired will be responsible for supporting research, development and maintenanceactivities, including the following tasks:Instalação e atualização de sistemas (hardware como software); Support development based on the usual frameworks OpenCV, ROS2; Support the construction of “Docker Containers” for ML tasks; Maintaining the (updated) repository of software necessary for the operation and use of existingequipment at ISR-UC; Supporting the development, maintenance and operation of demonstrators; Installing and updating systems (hardware and software); Participating in the preparation of documentation;O técnico deverá possuir conhecimentos adequadosde programação em C++ e Python. The contracted technician will also support the organization of events within ARISE and participate in theorganization of collaborative projects between ARISE members.
Academic level: Master's or Bachelor's degree in Electrical Engineering, Physics, Biomedical Engineering, MechanicalEngineering or related areas;
Duration:0
Scientific Orientation: H. Araújo,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/345987
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Activity:The laboratory technician hired will be responsible for supporting research, development andmaintenance activities, including the following tasks: Assembly, operation and maintenance of robotic and mechatronic platforms; Programming and configuring robots using ROS (Robot Operating System); Integration of sensors, actuators and controllers into robotic platforms; Participating in the preparation of technical reports and documentation for robotic equipment; Supporting the construction of “Docker Containers” for ML tasks.
Academic level: Master's or Bachelor's degree in Electrical Engineering, Physics, Biomedical Engineering,Mechanical Engineering or related areas
Duration:0
Scientific Orientation: U. J. Nunes, C. Premebida,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/345997
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Activity:The laboratory technician hired will be responsible for supporting research, development andmaintenance activities in the following areas: a) Electrical Drives Test Bench; b) Microgrids
Academic level: Master's or Bachelor's degree in Electrical Engineering, Physics, Biomedical Engineering,Mechanical Engineering or related areas.
Duration:0
Scientific Orientation: A. Traça de Almeida, P. Moura,
Deadline: 2025-06-03
More info at: https://www.euraxess.pt/jobs/346008
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