Start Date
Immediate
Expiry Date
17 May, 25
Salary
0.0
Posted On
18 Feb, 25
Experience
0 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
C++, Python, English, Computer Science, Data Science, Matlab
Industry
Electrical/Electronic Manufacturing
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.
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Application
Number:
V000009230
Application deadline:
31/03/2025
Mailing Address:
RWTH Aachen University
Lehrstuhl und Institut für Regelungstechnik
Dr. Tim Redick
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
Building on the successes of the FireFly project, the follow-up project FireFly2 is investigating the navigation of drones and aero taxis in urban areas. While the previous project focused on localization using GNSS and LTE signals, the focus in FireFly2 is on the combination of GNSS and innovative pseudolites. Pseudolites mimic the signals of navigation satellites and can be used to support navigation systems, for example, in urban environments with limited satellite visibility. This enables highly accurate positioning in previously unsolved inner-city scenarios. The developments are therefore an important step towards autonomous mobility in a wide range of applications.
As part of the doctoral position, you will research novel approaches to application-oriented sensor fusion and localization together with interdisciplinary project partners from research and industry. Your work will cover a wide range of issues in the following areas:
You can regularly share your scientific results with the community at international conferences and in academic journals, and build up international contacts. You will gain comprehensive expertise in the field of localization for autonomous systems, work in a team with other scientists and student employees, and pass on your knowledge to students as part of your teaching.