Research Assistant (f/m/d) – Development of an autonomous transportation system for low-emission raw material extraction

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 of 2 years initially.
An extension of the contract for additional 3 years is planned.
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 full-time 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 Automatic Control, directed by Prof. Heike Vallery, is part of the Faculty of Mechanical Engineering at RWTH Aachen University. The institute is specialized in control and automation engineering and aims to act as a bridge between theory and application in the domains of control and automation engineering. In addition to offering fundamental education in control theory, the research work of the institute focuses on mechanical engineering, automotive engineering, process engineering, energy engineering, and medical engineering.

For more information please see: www.irt.rwth-aachen.de

Ihr Profil

You hold a university degree (master's or equivalent) in mechanical engineering, electrical engineering, automation technology, or computer science. You have a strong basic knowledge of control and automation technology and are keen to develop your knowledge in this field, contribute to scientific projects, and pass it on to students as part of your teaching activities. Ideally, you have already gained initial experience in Python, C++, Matlab/Simulink, Linux, ROS, or similar in a control engineering context. Technical experience in the fields of perception, navigation, mapping, and trajectory planning for mobile robots is desirable, but not required. You can develop novel solutions for challenging technical problems in a team, are fluent in German, and have good knowledge of English.

Ihre Aufgaben

As part of the AREA.AI research project, partners from research and industry are working together on an autonomous transport system for low-emission raw material extraction. You will be responsible for the development of algorithms that behave robustly in the demanding mining environment and adapt to the current conditions. You will work in a team of two on the AREA.AI project and will be able to utilize the institute's many years of knowledge in the field of mobile robotics and navigation. A central part of your work will be handling uncertainties in automated vehicle guidance to improve safety and robustness. In particular, you will quantify and process uncertainties in localization and environmental detection so that these can be used in planning and control. Additionally, you will apply the developed algorithms to the test vehicles in the mine and adjust them iteratively. You will have the opportunity to present yourself and your development as part of the demonstrations.

We are interested in you developing freely and setting your research priorities based on existing approaches. The scientists at IRT have a wide range of methodological expertise and will support you with their many years of experience. You can regularly share your scientific results with the community and make contacts worldwide. We are looking for a dedicated employee for the AREA.AI project as part of the “Mobility” group as soon as possible.

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