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

Start date: 1st May 2019 (date subject to some flexibility)

Duration: 4-8 Months

Location: Toulouse (France)

The internship will take place within the AIRBUS central research
division among the Artificial Intelligence and Data Science team.

In order to meet the extraordinary challenges of AIRBUS group future,
our group is in charge of augmenting our systems with Artificial
Intelligence technologies. The team's goal is to actively research the
latest approaches that can enhance AIRBUS products and services as well
as developing beyond state-of-the-art components to address the specific
challenges of our industrial domain.

This internship will be embedded in our learning assistant initiative
that is trying to enhance traditional system interaction by adding
conversational agent.

Depending on the profile and research objectives, the intern could
contribute to NLP (Natural Language Processing) research topics:
conversational technologies (NLU, speech recognition), knowledge
extraction, information retrieval, question answering...

Tasks & accountabilities

Your main tasks will include:

  * Grasp the research objectives and the long term targets of the
    project

  * Analyse the state-of-the-art (SotA) in the relevant literature as
    well as published open source projects

  * Re-implement existing approaches on AIRBUS dataset

  *Perform analysis of relevant metrics to identify limitations

  * Develop an innovative approach to overcome current limitations

You will work in a transnational team composed of senior scientists and
research engineers. You may also work in close cooperation with trainees
dealing with connected topics.

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 must be an undergraduate for the full duration of the placement,
studying towards a degree in one of the following: Computer Science,
NLP, Speech Recognition, Machine Learning, Deep Learning. You ideally
have initial experience or past projects in this field.

You have existing practice of Python or JAVA. Additional programming
languages or scripting such as shell would be a plus. Familiarity with
docker, GPUs and the cloud would also be a plus.

You are a good team player and have excellent interpersonal skills. You
are recognized for your curiosity, creativity and ability to learn
quickly and to suggest potential solutions.

English: negotiation level. French, German or Spanish would be a plus.

Contact point:

catherine.kobus@airbus.com and gerard.dupont@airbus.com