JOB DESCRIPTION:

In order to support Airbus Central Research & Technology , Airbus Defence and Space is looking for a

PHD STUDENT IN THE FIELD OF RESERVOIR COMPUTING AND AI (D/F/M)

You are looking for a PhD thesis and want to work on AI? Then apply now! We look forward to you supporting us in the AI team of Airbus Central Research and Technology as a Doktorand (d/f/m)!

• Location: Taufkirchen
• Start: as soon as possible
• Duration: 3 years

DESIRED SKILLS AND QUALIFICATIONS

• Master’s Degree in the area of computer science and AI, or any equivalent field of studies with strong computer science relations (e.g. mathematics, physics).
• A strong mathematical background is highly desirable.
• A passion for programming in Julia, Python or C++ and the ability to implement complex algorithms efficiently is a valued asset.
• A background in reservoir computing, computer vision or signal processing is a plus.
• Fluency in English is required (the working language at Airbus is English).
• 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.
  Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.
  Not a 100% match? No worries! Airbus supports your personal growth.
  Take your career to a new level and apply online now!
  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.

EXPERIENCE LEVEL:

Student

• Conduct research to establish and expand the state-of-the-art in frugal AI approaches, focusing on resource-efficient methodologies for real-world applications.
• Innovate and design novel methods in reservoir computing, advancing the theoretical and practical boundaries of the field.
• Develop associated tools and frameworks to implement and evaluate these methods, applying them to industrially relevant use cases.
• Effectively communicate research findings and project outcomes both internally within the organization and externally at conferences, workshops, and in academic publications.
• Work collaboratively with the team, contributing to a dynamic and innovative research environment.