Phd Student reinforcement learning

Our control system consists of hydraulics, electronics and software algorithms, and it is essential to tune these together with the mechanical system to create good dynamic behaviour for the complex loader crane system. We are looking for a skilled Control Systems Engineer with a background in machine learning. We offer a challenging position in our diversified team of highly qualified engineers.
The job responsibilities
We consider a task where a large-scale robotic arm with an under-actuated end-effector moves an unknown load to a goal position while avoiding collisions with the environment. We assume access to a high fidelity simulator. Reinforcement learning is a potential solution to this task due to not requiring a perfect dynamics model or a complicated reward/cost model. However, for complex tasks reinforcement learning requires a large amount of training data generated during the training process. In principle, a simulator can be used to generate the data and the solution then transferred to the real robot.
The scientific objectives include:
1) While there is recent work on both reinforcement learning with sim-to-real and obstacle avoidance and also demonstrations of these on real robots, we are not aware of work that combines sim-to-real and obstacle avoidance on under-actuated large-scale machines;
2) To learn behaviour on the simulator of crane A, transfer to and fine tune the behaviour on real crane A, and then transfer the solution to real crane B, for which a simulator does not exist.
The ESR will acquire a broad range of knowledge of the state of the art in related fields, such as simulation, reinforcement learning, imitation learning.
The ESR will also be involved in dissemination through social media promotion of the network, such as Webropol surveys, and LinkedIn groups, YouTube video channels, Twitter and blogging.


Knowledge and experiences we are looking for
Master of Science in Electronics or Computer Science with machine learning as specialisation
You are a team player, cooperating and sharing your knowledge with colleagues
You like the mix between theory and practical tests on the crane.
You are a self-sufficient problem solver with the ability to promote your ideas



What we offer you
Every employee is equally valuable in the success of HIAB! We are driven by making people grow and develop, which is why we offer you the opportunity to work with what you are truly passionate about. We offer both national and international opportunities and together we build your career path so you constantly are able to develop and achieve your goals and dreams!
We also have a collective agreement and other benefits like Pension, work time reduction, insurance and Wellness grants.
This is a fixed-term employment of 21 months starting August 2021.
At HIAB we believe in growing together!
Interested to join?
Please send your CV and personal letter to: .ControlSystems@hiab.com