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Position: Research Associate in Machine Learning for pose-estimation and autonomous navigation of aerial robots in urban environments
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: The successful candidate will join the young, strong and motivated SpaceR research group focused on increasing the autonomy of aerial, planetary and orbital robotics for on-earth applications, space exploration, on-orbit servicing and manufacturing, and space resource utilization. This innovative research group is led by Prof. Miguel Olivares-Mendez. The candidate will carry out research under the framework of the 5G-SKY project. She or he will p erform the following tasks: Research on Machine Learning for pose-estimation and autonomous navigation of aerial robots in urban environments focusing on some of the following topics: Machine learning for robotics; Perception for robotics; Sensor fusion; Robust localization and state estimation; SLAM; Object detection, recognition and tracking; Develop real-time solutions using ROS; Setup and upgrade aerial robotics systems based on the requirements of the project; Establish a strong connection with the civil aviation national authority; Providing support in setting up and running experiments in the SnT Aerial Robotics Lab (AeRoLab) and outdoors environments; Cooperate with other projects and colleagues at SpaceR to extend the used of the developed approaches to planetary and orbital robotics; Participating in research proposal drafting and project deliverables; Collaborate in ongoing international and national projects; Disseminating results through scientific publications and conference presentations; Assisting in the organization of relevant workshops and demos
Requirements: Qualification: The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine. With a proven record of accomplishment in the development and testing of autonomous navigation of aerial robots; Strong development skills in C++, python and ROS; Experience with sensor fusion, optimization and state estimation; Be familiar with Machine Learning approaches for perception and robotics; Hands-on aerial robot setup and maintenance; Commitment, team working and a critical mind; Experience supervising Master students and theses; Experience with European projects (FP7/H2020), national projects and industrial projects; Experience with ESA projects will be an asset; Language Skills: Fluent written and verbal communication skills in English are required
   
Text: UOL03821 31-Dec-2099 About the SnT SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place! Your Role The successful candidate will join the young, strong and motivated SpaceR research group focused on increasing the autonomy of aerial, planetary and orbital robotics for on-earth applications, space exploration, on-orbit servicing and manufacturing, and space resource utilization. This innovative research group is led by Prof. Miguel Olivares-Mendez. The candidate will carry out research under the framework of the 5G-SKY project. She or he will p erform the following tasks: Research on Machine Learning for pose-estimation and autonomous navigation of aerial robots in urban environments focusing on some of the following topics: Machine learning for robotics Perception for robotics Sensor fusion Robust localization and state estimation SLAM Object detection, recognition and tracking Develop real-time solutions using ROS Setup and upgrade aerial robotics systems based on the requirements of the project Establish a strong connection with the civil aviation national authority Providing support in setting up and running experiments in the SnT Aerial Robotics Lab (AeRoLab) and outdoors environments Cooperate with other projects and colleagues at SpaceR to extend the used of the developed approaches to planetary and orbital robotics Participating in research proposal drafting and project deliverables Collaborate in ongoing international and national projects Disseminating results through scientific publications and conference presentations Assisting in the organization of relevant workshops and demos Your Profile Qualification: The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine. With a proven record of accomplishment in the development and testing of autonomous navigation of aerial robots. Strong development skills in C++, python and ROS Experience with sensor fusion, optimization and state estimation Be familiar with Machine Learning approaches for perception and robotics Hands-on aerial robot setup and maintenance Commitment, team working and a critical mind Experience supervising Master students and theses Experience with European projects (FP7/H2020), national projects and industrial projects. Experience with ESA projects will be an asset. Language Skills: Fluent written and verbal communication skills in English are required. Here’s what awaits you at SnT Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners Be part of a multicultural family . At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more Find out more about us! In Short Contract Type: Fixed Term Contract 2 Year Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Foreseen starting date: March / April 2021 Job Reference: UOL03821 Further Information Applications, written in English should be submitted online and should include: Full CV, including a list of publications Transcript of all modules and results from university-level courses Research statement and topics of particular interest to the candidate (300 words) Contact information for 3 referees All qualified individuals are encouraged to apply All qualified individuals are encouraged to apply. Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. About the University of Luxembourg The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character . It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society. Further information For further information, please contact at miguel.olivaresmendez@uni.lu
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