Working Student - Reinforced Learning Environments (40% FTE+)
Zürich
HQ (Switzerland) – Flight Software, Computer Vision and AI (HQ) /
Part-Time /
On-site
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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
