Working Student - Reinforced Learning Environments (40% FTE+) Job in Daedalean AG

Working Student Reinforced Learning Environments (40% Fte+)

Zürich, ZH, CH, Switzerland

Job Description

About us:

Daedalean

is a Zurich-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 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.

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

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