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PhD for On-board Machine Learning Applications for Telecommunication Satellites in 5G/6G Non-Terrestrial Networks (d/f/m)

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Airbus

4d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    IT & Cybersecurity
  • Munich
  • Quick Apply

AI generated summary

  • You need a Master's in Telecommunication or Electrical Engineering, knowledge of communication standards, signal processing skills, and proficiency in C/C++, Python, TensorFlow, and embedded systems.
  • You will research and implement on-board Machine Learning applications for 5G/6G NTN, focusing on areas like channel estimation, resource management, beamforming, and network optimization.

Requirements

  • Master Degree in Telecommunication Engineering, Electrical Engineering or similar field of study
  • Basic knowledge of communication standards (CCSDS, 3GPP, 5G)
  • Good signal processing background
  • Embedded programming skills (C, C++, VHDL)
  • Scripting skills (Matlab, Python)
  • Proven experience with Tensorflow, Pytorch, and/or other Neural Network modeling frameworks
  • Experience of Neural Networks Inference on embedded processing platforms (CPU, FPGA) is a plus
  • Experience on using cloud services (AWS) is a plus
  • Interest in spacecraft and new trends in telecommunications
  • Fluent English is mandatory; German would be an asset
  • Dynamic, proactive, organized with focus on delivery
  • Good team player, have excellent communication skills, and are able to work independently

Responsibilities

  • You will support the department Telecom & Navigation Processing Germany which specializes in high performance processing solutions for satellites.
  • The PhD position will support the on-going R&D activities on on-board Machine Learning applications for 5G/6G NTN.
  • The candidate shall research one or more of the following topics (but not limited to), with a focus on their embedded implementation:
  • Channel estimation and equalization
  • Radio resources management and network optimization
  • Beamforming
  • Traffic transmission
  • Adaptive link coding & modulation
  • Constellation cognitive intelligence
  • Network slicing

FAQs

What is the job title for this position?

The job title is PhD for On-board Machine Learning Applications for Telecommunication Satellites in 5G/6G Non-Terrestrial Networks (d/f/m).

Where is the job location?

The job is located in Ottobrunn/Munich, Germany.

What is the duration of the PhD program?

The duration of the PhD program is 3 years.

What are the working hours for this position?

The working hours are 35 hours per week with flexible time arrangements.

What will be the focus of the PhD thesis?

The focus of the PhD thesis will be on on-board Machine Learning applications for 5G/6G Non-Terrestrial Networks, including topics like channel estimation, radio resource management, and network optimization.

What qualifications are required for this job?

The required qualifications include a Master’s Degree in Telecommunication Engineering, Electrical Engineering, or a similar field, along with skills in signal processing, embedded programming, and neural network modeling frameworks.

What programming skills are favored for this position?

Embedded programming skills in C, C++, and VHDL, as well as scripting skills in Matlab and Python, are favored for this position.

What type of experience is beneficial for applicants?

Beneficial experience includes working with Tensorflow, Pytorch, neural network inference on embedded platforms, and using cloud services like AWS.

Are there language requirements for this role?

Yes, fluent English is mandatory while knowledge of German would be considered an asset.

Is prior experience in the telecommunications industry necessary?

Prior experience in telecommunications is not explicitly required, but an interest in spacecraft and new trends in telecommunications is essential.

What benefits are offered with this position?

Benefits include an attractive salary, a good work-life balance, an international working environment, and opportunities to network globally.

Can I apply if I don’t meet all the requirements?

Yes, if you are not a 100% match, there is encouragement to apply as Airbus supports personal growth.

Is there an application deadline for this position?

The job description does not specify an application deadline; it mentions that the position should start as soon as possible.

What documents do I need to submit with my application?

You need to upload a cover letter, CV, relevant transcripts, and an enrollment certificate.

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Benefits

  • Company Pension Scheme

  • Employee Discounts

  • Health Insurance

  • Parental Leave

  • Paid and Unpaid Holidays