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Research Engineer, C++, GNSS Signal Processing

TN United Kingdom

Girton

On-site

GBP 40,000 - 70,000

Full time

Yesterday
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Job summary

An innovative research team is seeking a Research Engineer specializing in GNSS signal processing to enhance positioning performance. In this role, you will develop novel algorithms to mitigate errors and optimize accuracy in challenging environments. Join a forward-thinking organization where your contributions will directly impact the advancement of GNSS technologies. If you have a passion for signal processing and a desire to work on cutting-edge projects, this opportunity is perfect for you.

Qualifications

  • Strong background in signal processing, especially GNSS.
  • Familiarity with GNSS receivers and error sources.

Responsibilities

  • Conduct research to advance GNSS signal processing techniques.
  • Design and implement algorithms for error correction and signal enhancement.

Skills

Signal Processing
GNSS Technologies
Algorithm Development
Error Correction
Multipath Mitigation
Kalman Filters
Probabilistic Estimation

Education

Degree in Engineering or related field

Tools

MATLAB
Python

Job description

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Research Engineer, C++, GNSS Signal Processing, Girton

Client: Expert Employment

Location: Girton, United Kingdom

Job Category: -

EU work permit required: Yes

Job Reference:

7abd396abe12

Job Views:

3

Posted:

18.04.2025

Expiry Date:

02.06.2025

Job Description:

Join our innovative research team dedicated to advancing Global Navigation Satellite System (GNSS) technologies. As a Research Engineer specialising in GNSS signal processing, you'll play a pivotal role in our research efforts to improve GNSS positioning performance. You'll work on cutting-edge projects, developing novel algorithms and techniques to mitigate errors, enhance signal integrity, and optimise positioning accuracy in challenging environments.

Key Responsibilities:
  1. Conducting research to advance GNSS signal processing techniques.
  2. Designing and implementing algorithms for error correction, multipath mitigation, and signal enhancement.
Experience:

A strong background in signal processing, particularly in the context of GNSS or related technologies. Experience with GNSS receivers, signal processing algorithms, and familiarity with tools such as MATLAB or Python for algorithm development and simulation is essential. Knowledge of error sources in GNSS, such as ionospheric and tropospheric effects, multipath, and receiver noise, is highly desirable. Proficiency in Kalman filters and other probabilistic estimation techniques is also important.

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