Internship within Aircraft Autonomy - Multi-Agent Path Planning in Dynamic Engineering

Job description

Internship within Aircraft Autonomy - Multi-Agent Path Planning in Dynamic Engineering

Airbus Defence and Space Manching

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe's number one space enterprise and the world's second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide.

Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space.

Description of the job

Are you looking for an internship? Would you like to discover the work in the field of path planning, machine learning and artificial intelligence? Then apply now! We look forward to you joining us as an intern (m/f) at Airbus Defence and Space in Manching (35 hours/week, flexi-time).

Location: Manching
Start: Autumn 2018
Duration: 3-6 months

Online path planning is key enabler towards autonomy for aircrafts. We are not only looking forward to the theoretical analysis of approaches for path planning but also to practical implementations up to an 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. Our solution space includes but is not limited to decomposition methods, probabilistic roadmaps, optimization techniques, fuzzy logic and others. 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.

Internships at Airbus

Desired profile

Tasks & accountabilities

Your exciting tasks:

·  Familiarization with development environment
·  Evaluation of existing path planning approaches
·  Implementation of algorithms
·  Interactive analysis of approaches
·  Enhanced optimization of algorithms

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.

Required skills

You offer:

·  Enrolled student within Aeronautical Engineering / Mathematics / Computer Science or similar field of study
·  Know-How within Matlab, Simulink
·  Familiar with path planning, sensor fusion, machine learning and artificial intelligence
·  English: good

You are a good team player, have excellent communication skills, and are able to work independently.