About this job

Are you looking for an internship? Would you like to discover the work within Online path planning? Then apply now! We look forward to you joining us as an intern (d/f/m) at Airbus Defence and Space in Manching.

• Location: Manching
• Start: Autumn 2019
• Duration: 3-6 months
• Contract Type: 35 hours/week, flexi-time

Online path planning is key enabler towards autonomy for aircraft. We are not only looking forward to the theoretical analysis of reinforcement learning approaches for path planning but also to practical implementations up to a flight demonstration on one of our systems.

Our goal is to tackle the full chain of cognitive processing covering all aspects of perception, cognition and action. Within this internship you will focus on path planning based on neural networks and reinforcement learning. We are looking for creative minds from the fields of path planning, machine learning and artificial intelligence, who are able to tailor their knowledge towards a solution which addresses the safe flying for multiple aircrafts in an dynamic environment.

Responsibilities

• Familiarization with development environment
• Training of neural networks using reinforcement learning
• Interactive analysis of approaches
• Enhanced optimization of algorithms, initialization and hyper parameters

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Profile

• Enrolled student within Aeronautical Engineering / Mathematics / Computer Science or similar
• Familiar with machine learning and artificial intelligence
• Familiar with Python and Tensor Flow
• Experience with deep learning and reinforcement learning is beneficial
• Good English skills
• Good team player
• You are a good team player, have excellent communication skills, and are able to work independently