Internship or Thesis within "Operational Analysis and Studies": Deep Reinforcement Learning in simulation

Job description

Airbus Defence and Space GmbH

Airbus is a global leader in aeronautics, space and related services. In 2019 it generated revenues of € 70.5 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. 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.

Job Description

Are you looking for an internship or thesis? Then apply now! We look forward to you joining us as an intern (d/f/m) in the department 'Operational Analysis and Studies' at Airbus Defence and Space GmbH in Friedrichshafen (35 hours/ week, flexi-time).

 

Start: February 2021

The department 'Operational Analysis and Studies' is heavily involved in artificial intelligence related activities within Airbus. As study driven and therefore also research oriented department we are looking forward to explore the possibilities of artificial intelligence in the military Domain.

We offer:

Your mission will be to support and setup innovative machine learning environments to implement and use state of the art reinforcement learning algorithms. Your internship will cope with the following topics:

·  Setup Machine Learning environment based on Google Tensorflow with Python on Google Cloud / Cloud ML or on a local cluster architecture using Rlib/Ray and MPI
·  Support the preparation of appropriate training data based on simulation data
·  Design, train and evaluate different neural network architectures and algorithms (e.g. PPO2, DQN, MADDPG)
·  Development of state of the art reinforcement learning (RL) environment’s
·  Evaluation of RL algorithms
·  Setup of appropriate training architecture (e.g. server/cluster, MPI etc.)
·  Support existing RL topics and introduce new perspectives/innovative ideas

You offer:

We are looking for an extremely self-motivated person, who is proactively contributing to all relevant topics and is keen in evaluating and improving different neural network architectures and designs. We are looking for someone who loves to be challenged and who wants to go the extra mile.

You should have an IT background bringing with you basic knowledge in Deep Learning / Deep Reinforcement Learning and Tensorflow as well as good practical experiences in Python.

Does this job description fit your objectives and profile? Take the next step in your career and come and join us!

How to apply:

Online via www.jobs.airbus.com

Reference number: JR10044626

Please provide the following documents: cover letter, C.V., relevant certificates, current certificate of enrollment, excerpt from your study regulations/guidelines (if it is a compulsory internship).

You can direct your cover letter to: Mrs. Hässler

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.

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.