FAQs
What kind of projects will I be working on as a Working Student in Reinforcement Learning for Medical IoT?
You will contribute to real-world applications by implementing innovative diabetes care solutions as part of our light-house projects in the medical IoT domain.
What programming languages do I need to know for this position?
Very strong skills in programming languages such as Python, or C/C++ are required for this position.
Is experience with Reinforcement Learning necessary?
Ideally, you should have experience with Reinforcement Learning and OpenAI's Gym/Gymnasium for RL experimentation, but strong motivation to learn is also valued.
What educational background is preferred for this position?
You should be currently pursuing a degree in computer sciences, robotics, electrical engineering, or other related fields, either at the Bachelor's or Master's level.
Will I receive support during my thesis work?
Yes, our team members will support you in scouting, developing, and deploying state of the art Reinforcement Learning algorithms throughout your thesis.
Do I need to have experience with Linux environments?
Yes, experience with Linux environments is preferred for this role.
What skills are beneficial for this job?
Strong critical and analytical thinking, good English communication skills, and the capability to work independently and accurately are beneficial for this position.
Is there an opportunity for a thesis contract after this position?
Yes, there is the opportunity to continue with a thesis contract after a period of familiarization during the working student time.
Are contributions on GitHub a plus for this application?
Yes, contributions on GitHub are considered a plus for this position.
What is the main focus of this role?
The main focus of this role is to invent, implement, and integrate a reinforcement learning algorithm into the controller block of our medical IoT use case.