Student assistant (f/m/non-binary) – State Estimation for Autonomous Driving

at  RWTH Aachen

52074 Aachen, Nordrhein-Westfalen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate03 May, 2024Not Specified03 Feb, 2024N/AC++,Ros,Matlab,Simulink,Computer ScienceNoNo
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Description:

ABOUT US

RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.
You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung.
Application
Number:
V000007153
Application deadline:
10/03/2024
Mailing Address:
RWTH Aachen University
Lehrstuhl und Institut für Regelungstechnik
Chih-Chun Chen
Campus-Boulevard 30
52074 Aachen
Email:
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail

Responsibilities:

In urban area, conventional satellite-based navigation systems have the problem of limited satellite signals reception due to tall building obscuring the view of satellites. In addition, there are a lot of signal interferences which severely impair the reception quality. These signal disturbances are challenging for autonomous driving in cities. In the Firefly project, a new navigation system is developed which fuses GNSS signals with LTE signals and measurements of an inertial measurement unit to achieve accurate and robust localization and state estimation in urban canyons. You will help to review literatures, implement navigation filters (unscented kalman filter and factor graph optimization), support us with development of software submodules and during measurement campaignes.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Mechanical or Industrial Engineering

Engineering Design / R&D

Mechanical Engineering

Graduate

Proficient

1

52074 Aachen, Germany