Conduct cutting-edge research in perception and situational understanding, advancing the state-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields; Developing and implementing innovative solutions, validated through real datasets and experiments on our robotic platforms; Disseminating research findings through publications in leading peer-reviewed journals (e.g., IEEE RA-L, Elsevier RAS) and top conferences (e.g., ICRA, IROS), and engaging in outreach events; Take a leading role in research projects, prepare project deliverables and collaborate with stakeholders; Being involved in the preparation of research proposals to secure industry partnerships and attract national and European grant funding
Requirements:
Research background in at least one of the following topics: simultaneous localization and mapping (SLAM), situational awareness, robotics, computer vision, machine learning, and/or related area; Proven record of publications in leading (1st quartile) conferences and journals in the field of robotics; Solid mathematical foundation paired with practical robotics experience; Strong programming skills in (at least one of) Python/C++; Familiarity with robotics frameworks like ROS; optimization-based frameworks such as GTSAM, G2O, or similar; computer vision frameworks like OpenCV; and/or deep learning frameworks such as PyTorch and TensorFlow
Text:
Research Associate (Postdoc) in Simultaneous Localization and Mapping (SLAM) and Situational Awareness for Robotics Conduct cutting-edge research in perception and situational understanding, advancing the state-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields; Developing and implementing innovative solutions, validated through real datasets and experiments on our robotic platforms; Disseminating research findings through publications in leading peer-reviewed journals (e.g., IEEE RA-L, Elsevier RAS) and top conferences (e.g., ICRA, IROS), and engaging in outreach events; Take a leading role in research projects, prepare project deliverables and collaborate with stakeholders; Being involved in the preparation of research proposals to secure industry partnerships and attract national and European grant funding Research background in at least one of the following topics: simultaneous localization and mapping (SLAM), situational awareness, robotics, computer vision, machine learning, and/or related area; Proven record of publications in leading (1st quartile) conferences and journals in the field of robotics; Solid mathematical foundation paired with practical robotics experience; Strong programming skills in (at least one of) Python/C++; Familiarity with robotics frameworks like ROS; optimization-based frameworks such as GTSAM, G2O, or similar; computer vision frameworks like OpenCV; and/or deep learning frameworks such as PyTorch and TensorFlow
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