Working Student - Reinforced Learning Environments (40% FTE+)

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.

• 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.

• Experience with Python, C++ or MATLAB is beneficial.
• 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.

• 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