Internship (D/F/M) Within Automl For Anomaly Detection In Time Series Data

Job Description:

Are you passionate about Space and looking for an internship in this field? Would you like to discover the work of an Intern within the Functional Avionics Department?

Then apply now! We look forward to you joining us as an intern (d/f/m) in Immenstaad (35 hours/week, flexi-time).

We are looking for an Intern to join our Avionics Engineering & Lead department for Germany (TESOF-1). TESOF1 focuses on 3 main areas: Mission Operations, Failure Detection Isolation and Recovery (FDIR), Functional Verification and Avionics Engineering Lead. We provide dedicated engineering services for Earth Observation, Science and Telecommunication missions. Our ways of working are mostly integrated within the mission project teams and contribute throughout the complete development cycle of our space missions, starting with early phase studies, all the way up to the launch and on-orbit mission operations.

Location: Immenstaad

Start: As soon as possible

Duration: 6 months

Topic

Machine Learning (ML) has achieved considerable success in recent years and a large number of disciplines across the industry rely on it. However, in order to obtain a ML model suitable for a particular task, extensive expertise in the field is required. Furthermore, the process of handcrafting ML models involves a lot of manual and time-consuming iterations of data preparation, feature engineering, hyperparameter tuning, and model evaluation. AutoML is the process of automating the tasks of applying ML to real-world problems. It provides tools to automatically discover well-performing machine learning model pipelines for a dataset with very little user intervention.

Among the practical applications of ML is anomaly detection in satellite telemetry data, for which a lot of previous work across literature is available. It is thereby of interest to compare the performance of hand-engineered ML methods against models generated by means of AutoML, which is promising to be one of the future-proof techniques in this field.

We offer you some exciting tasks:

• Literature review of AutoML methods and applications

• Practical trade-off analysis between a set of selected AutoML libraries

• Application of AutoML for anomaly detection for a selected satellite use case and dataset (feasibility study)

• Comparison with other manually engineered methods for satellite FDIR

• Results documentation (applications, tools, lessons learned etc.)

You offer:

• Enrolled full time student (d/f/m) in Computer Science, Mathematics, or Aerospace Engineering

• Experience programming with Python

• Proven background in modern AI technologies is an asset

• English (fluent) mandatory

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

Contact:

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 https://www.airbus.com/careers.html

Reference number JR10140663

Please provide the following documents: cover letter, C.V., relevant certificates, current certificate of enrolment

Should you have general questions regarding this position you can write an E-Mail to: [email protected]

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.

Company:

Airbus Defence and Space GmbH

Contract Type:

Internship / Stage / Praktikum / Beca

Experience Level:

Student / Etudiant / Student / Estudiante

Job Family:

Chief Engineering & Architecture

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.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected] .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.