Postdoc Position in Mobile Robot Perception and Situational Awareness
13 ore fa
We are seeking a highly motivated Postdoctoral Researcher to join our team at the Istituto Italiano di Tecnologia (IIT) in Genova, Italy. The successful candidate will work within the Humanoid & Human Centred Mechatronics Research Line, a multidisciplinary group with expertise in robot design, modelling, and control of new mechatronics components.
Our research focuses on robot design, exploring state-of-the-art approaches combined with advancements in control, including whole-body loco-manipulation generation, balancing regulation, physical interaction, and teleoperation control. The ideal candidate should possess strong expertise in perception system development for legged and mobile robots, proficiency in robot perception and state estimation, and excellent hands-on/practical skills.
The successful candidate will be expected to design, implement, and test robust, efficient perception algorithms and develop perception stacks for autonomous mobile systems. A background in localization and mapping, state estimation, environment reconstruction, semantic segmentation, obstacle detection, path planning, object feature detection, and machine learning/deep learning is highly desirable. Experience working with different perception sensor systems, 2D/3D cameras, LiDAR, inertial sensors, radar technologies, GPS, and calibration methods is also essential.
A competitive salary package, private healthcare coverage, and staff discounts are offered to the successful candidate. Additionally, candidates from abroad or Italian citizens who permanently work abroad may be entitled to a deduction from taxable income of up to 90%. Our team values inclusivity, equality, and diversity, and we welcome applications from qualified individuals worldwide.
The estimated annual salary for this position is €50,000 - €60,000, depending on experience and qualifications. If you are a highly motivated researcher with a passion for robotics and perception, we encourage you to apply. Please submit your application using the online form, including a detailed CV, cover letter, and any relevant documents demonstrating previous working experience and research studies.
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