Research Assistant/Associate (f/m/d) - AI-supported road infrastructure evaluation predictions of noise and friction based on pavement macrotexture

Weitere Informationen

The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term initially for 3 years.
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a part-time position (75 % of the standard weekly hours for full-time employees).
This is a part-time position (about 80%).
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil

The Institute of Highway Engineering Aachen stands for sustainable and digital transport infrastructure. As a research institution, we therefore focus on the development and utilisation of modern technologies and processes in the field of road infrastructure, both in the planning, construction and operation of roads. The Institute is currently focussing on research into new methods of condition assessment and forecasting using digital technologies, road safety research and traffic control.

Ihr Profil

A highly motivated PhD student with a strong background in measurement science and technologies as well as machine vision. The ideal candidate should have experience in handling large datasets and working with optical sensor technologies and measurement systems. A solid foundation in programming (e.g., Python, MATLAB) and an interest in applying these skills to real-world infrastructure challenges is essential. The candidate should be eager to contribute to the project’s goals, collaborate with industry partners, and publish research findings in high-impact journals.

Requirements:

• A University degree (Master’s degree or equivalent) in Electrical engineering, Computer Science, Geoinformatics, Civil Engineering,or a related field.
• Demonstrated experience in Measurement Science and Technology as well as Machine Vision.
• Familiarity with sensor technologies (LiDAR, cameras) and optical measurement systems is highly desirable.
• Strong programming skills (Python, MATLAB).
• Excellent communication skills in English, with knowledge of German being a plus.

Ihre Aufgaben

The Institute of Highway Engineering (ISAC) at RWTH Aachen University is looking for a motivated and enthusiastic PhD student to join our team as part of the ZEB-RA project (AI-Based System for Condition Assessment and Evaluation of Road Assets). This innovative research project focuses on developing AI-driven methods for the automated assessment and management of road infrastructure conditions. The project uses advanced technologies such as deep learning, 3D point cloud processing, and sensor-based evaluations to improve road safety and efficiency.

The ZEB-RA project aims to create a comprehensive system for monitoring and evaluating road assets using AI-driven analysis of 3D point cloud data and validate it with data from different measurement devices. Our approach integrates mobile mapping systems, including LiDAR and camera technologies, to provide precise and reliable data on road side equipment. This research will contribute significantly to the field of road asset management by enabling more efficient and cost-effective maintenance strategies.

Teilzeit-Informationen

This is a part-time position (about 80%).

Über uns

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.

Besoldung / Entgelt

EG 13 TV-L