Thesis/Internship: Sim-to-real Reinforcement Learning for Robotics Application (m/f/d)
Sereact
About Sereact:
Sereact is a pioneer in AI-powered robotics for autonomous warehouses. With our innovative pick-and-pack automation solution, we assist logistics businesses around the world in boosting productivity and minimizing costs of their intralogistics. This is an opportunity to join our dedicated team and contribute to the growth of this exciting industry. Sereact’s technology is being used by clients in different industries, including e-commerce logistics company Zenfulfillment, automotive manufacturer Daimler Truck and third party logistics provider Material Bank.
Key Responsibilities:
- Conduct in-depth research on cutting-edge technologies to enable the transfer of robot knowledge from simulation environments to the real world
- Design and develop a robust framework that leverages feature space/task space reinforcement learning techniques to facilitate efficient knowledge transfer
- Perform comprehensive evaluations of the developed framework using robotics manipulation applications
Qualifications:
- Computer Science, Information technology, Robotics, and Reinforcement Learning
- Strong proficiency in Python/C++ programming languages
- Experience working with the Mujoco Simulation Environment
- Solid understanding of robotics principles and reinforcement learning concepts
- Hands-on experience working in a Linux environment
- Knowledge of software development and version control using Git or similar
- Experience working with robots and robotic sensors: e.g. 3D cameras, force-torque sensors and grippers
- Excellent communication and organizational skills
Company Benefits:
- A dynamic and supportive work environment
- Flexible working hours and the possibility to work remotely
- Ownership from day one
- Possibility to shape your own career
- Build a company & sales machinery shoulder to shoulder with the founders
- Work with newest industry tech stack
- Gym plan
- Workations and team events
You think you are the perfect fit for us? Send your application with CV (in German or English) and relevant references to career@sereact.ai.