Research Assistant with Bachelor degree (f/m/d)

at  RWTH Aachen

OUR PROFILE

The Chair of Individualized Production develops and investigates automated processes along the whole value chain in construction. A focus is the use of robots for individualized building production. In order to create an environment that allows the efficient production of lot size one, new and user friendly methods for man machine interaction are necessary. Combining the flexibility of robotics with common methods for design-oriented process planning and robot programming. The Chair of IP employs researchers from different fields of robotics and building production to streamline the necessary digital workflow from the initial design to the production process and construction site of the future via intuitive, easy-to-use interfaces.
One of our current research projects is CLOUD56. Here we are investigating the monitoring and optimization of automated steel assembly. This involves connecting various sensors and devices to a cloud server via a 5G network, with data stored and retrieved using a graph database architecture.
We are looking for a student assistant who will assist in the development and maintenance of a graph database for sensor monitoring and steel production data. We offer the opportunity to work with new industrial robots for research and teaching purposes. As an application we expect a cover letter and a CV as one single pdf.

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:
V000007567
Application deadline:
17/05/2024
Mailing Address:
RWTH Aachen University
Lehrstuhl für Individualisierte Bauproduktion
Heinrich Knitt
Campus-Boulevard 30
52076 Aachen
Email:
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail

• Support of IP-researchers in an ongoing research project
• Development and Implementation of a graph database for process data
• Support in the development of automated steel assembly processes
• Documentation of the developed solutions
• Support in the writing and review of scientific articles
• Support for teaching in the field of robotics