Working Student - Reinforced Learning Environments (40% FTE+)
Part-TimeJob Overview
About us:
Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.
Your role:
To conduct research and development in the field of reinforced learning for mission planning and optimization.
This is a position at at least 40% FTE and minimum of 6 months duration.
About us:
Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.
Your role:
To conduct research and development in the field of reinforced learning for mission planning and optimization.
This is a position at at least 40% FTE and minimum of 6 months duration.
Your tasks will include the following:
- To research and develop reinforcement learning environments for mission planning and optimization.
- Implement reinforcement learning algorithms: Apply and test algorithms to improve decision-making within simulated environments.
- Conduct experiments and analyze results: Run simulations, collect data, and evaluate the effectiveness of different approaches.
- Document and share findings: Prepare clear documentation and reports on your work and results.
Qualification and Experience:
- Experience with Python, C++ or MATLAB.
- Interest in AI and machine learning: advanced knowledge or coursework in reinforcement learning, machine learning, or related fields.
- Interest in computer gaming.
- Studying Robotics, Computer Science, or a related technical field.
Benefits:
- A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
- Difficult and interesting problems to solve.
- Hybrid work setting.
- Gym membership