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FEV Consulting supports companies along the entire robotics value chain: from strategy and technology advisory to benchmarking, cost & value management, and industrialization. Join our robotic expert team and shape the future in humanoid robotics!
Job Responsibility:
Support the development of stationary pick-and-place tasks (simulation and real hardware)
Conduct literature and project reviews on modern manipulation and locomotion approaches and derive actionable recommendations for implementation
Implement and evaluate learning-based methods (e.g., imitation learning / RL) in simulation environments and support transfer to real systems
Contribute to humanoid locomotion and navigation topics, including perception and planning building blocks (e.g., SLAM concepts and experiments)
Assist in integrating components towards mobile pick-and-place (whole-body coordination and task execution)
Document results, experiments, and learnings in a structured way and present progress in bi-weekly fixed alignments
Requirements:
Enrolled in a Master’s Degree in Computer Science, Automation Engineering, Robotic Systems Engineering, or a related program with a strong focus on Robotics
Solid programming skills in Python and C++
Experience with Git and Azure DevOps
Confident in Ubuntu-based development environments and skilled with Visual Studio Code & Copilot
Independent, structured way of working and good documentation habits
What we offer:
An environment to learn & grow
Mentoring
A collaborative culture
Transparency
Regular (student) team events
Invited to regular lecture lunches, monthly project highlight meetings, and student call