Electrical Engineering Expert for Cryptocurrency Set Reconciliation

vor 1 Woche


Weßling, Bayern, Deutschland Deutsches Zentrum für Luft- und Raumfahrt (DLR) Vollzeit
Company Overview

The Deutsches Zentrum für Luft- und Raumfahrt (DLR) is a leading research center in the field of aerospace and transportation. With a team of 11,000 experts from over 100 nations, we strive to push the boundaries of innovation and shape the future of our industry.

We are committed to creating a diverse and inclusive work environment that values individual development and growth. Our extensive training and development programs support the personal and professional advancement of our employees.

Salary and Benefits

The successful candidate will be offered a competitive salary, commensurate with their qualifications and experience. The estimated monthly salary ranges from €3,500 to €5,000, depending on the level of expertise and responsibilities assigned.

In addition to a generous compensation package, DLR offers a range of benefits, including health insurance, pension plans, and opportunities for further education and training.

Job Description

We are seeking an expert in electrical engineering to join our Institute of Communications and Navigation in Oberpfaffenhofen, near Munich. The successful candidate will contribute to the conception and analysis of communication and navigation systems involving satellites or designed for applications in aeronautics, transport, and security.

The Information Transmission Group focuses on the design and analysis of information transmission systems, emphasizing modulation, error control coding, signal processing, and medium access control aspects. The Quantum-Resistant Cryptography group concentrates on the analysis and development of code-based post-quantum cryptosystems to ensure the long-term security of digital communication systems.

Set reconciliation problems frequently arise in distributed systems with multiple copies of data across different nodes. A prominent example is cryptocurrency networks, where nodes maintain transaction databases periodically updated.

In this position, you will investigate set reconciliation based on BCH codes, considering potential speed-ups of known decoding algorithms for BCH codes. You will implement improved methods in SageMath/Python and evaluate their performance via simulations.

Required Skills and Qualifications

To be successful in this role, you should have:

  • Studies in electrical engineering (or related) with specialization on communication engineering and channel coding
  • A strong background in channel coding and algebraic codes
  • Programming languages: SageMath/Python
How to Apply

If you are interested in this opportunity, please submit your application, including your CV and a cover letter outlining your qualifications and experience. We look forward to reviewing your application.



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