Internship within Systems Engineering: Data Science Analysis
Praktikum Hamburg, Germany Design / Civil engineering / Industrial engineering
Job description
Internship within Systems Engineering: Data Science Analysis
Airbus Hamburg
Airbus is a global leader in aeronautics, space and related services. In 2016, it generated revenues of € 67 billion and employed a workforce of around 134,000. 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 of a Data Analyst in Systems? Then apply now! We look forward to you joining us as an intern (m/f) at the Environmental Control Department (35 hours/week, flexi-time).
Location: Hamburg
Start: May/June 2018
Duration: 3-6 months
You will develop a surrogate model (e.g. an artificial neural network model) based on available lab test and ground test data for the ATA21-21 system of the A350. The intended use of the model is to contribute to a significant increase of the efficiency of current the Head of Version Customization process. Liaise with Data Analysts in the Zero-AOG Plateau, that is providing diagnostic and predictive maintenance algorithms using the Palantir data analytics Environment, and also liaise with Data Analysts in Digital Design/Manufacturing Project, that is targeting the Single Aisle Neo+ Programme.
Internships at Airbus
Desired profile
Tasks & accountabilities
· Develop a surrogate model for the ATA21-21 system of the A350
Required skills
You offer:
· Enrolled student within Aerospace Engineering, Informatics, Computer Science or similar field of study
· Background in Data Science or Statistics helpful
· Experience with Data Analysis tools based on Python language, like Pandas, Numpy, Matplotlib and with Machine Learning tools like Scikit-Learn or Tensorflow
· English: fluent
You are a good team player, have excellent communication skills, and are able to work independently.