Research assistant with Bachelor´s degree (f/m/d) for research and development in Data-Efficient AI for constructions robotics
Weitere Informationen
The position is to be filled at the earliest possible date and offered for a fixed term up to December 31st 2026.
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 contract position.
The standard weekly hours will be 8 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 16.80 euros per hour.
Unser Profil
The Chair of Individualized Production (IP) develops and investigates automated processes in construction, focusing on 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 human-machine interaction are necessary. The Chair of IP is a part of the Cluster of Excellence CARE - Climate-Neutral and Resource-Efficient Construction together with collaborative partners including TU Dresden. The goal of CARE is to enable rapid, holistic transformation toward climate-resilient and sustainable construction through innovation in materials, design, manufacturing, digital technologies, and sustainability metrics.
We are looking for a research assistant with Bachelor´s degree (f/m/d), who supports us in the research activities within CARE. We offer the opportunity to work with new industrial robots for research and teaching purposes. If interested, please send an application including your cover letter, up-to-date transcript and CV as one single pdf.
Ihr Profil
- Currently enrolled in a master programme in one of the fields, computer science, engineering or architecture
- Programming skills and experience in Python, JSON data processing
- Experience in integrating AI models and APIs, e.g., LLMs/LMMs, and developing solutions for multimodal data such as text, audio, video, images, and sensor data.
- Robot programming skills is advantageous
- Rhinoceros and Grasshopper skills is advantageous
- Willingness to learn, experiment, and work hands on with new methods
- Ability to work independently and take responsibility
- Very good writing and communication skills in English
Ihre Aufgaben
- Participate in Cluster of Excellence CARE - Climate-Neutral and Resource-Efficient Construction.
- Support research activities in the CARE Seed Fund Project, SUSTAIN-Sustainable User-Centered Systems for Transparent Artificial Intelligence in Novel Material-Driven Digital Design and Fabrication, under supervision by the Project Lead Dr. Iremnur Tokac Celikyay. SUSTAIN is a collaboration between INDA and IP RWTH Aachen.
Über uns
RWTH is proud to be certified as a family-friendly university. As part of our Campus Health initiative, RWTH offers a wide range of health, counseling, and prevention services, including university sports. Employees under collective bargaining agreements and civil servants also benefit from a comprehensive continuing education program and the option to purchase a job ticket for convenient commuting.
RWTH is an equal opportunities employer. We welcome and encourage applications from all qualified candidates and make employment decisions without regard to national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is especially committed to supporting the advancement of women in academia. When women are underrepresented in a university unit, preferential consideration will be given to female applicants among candidates of equal merit and professional standing, unless compelling reasons favor another individual.
In keeping with RWTH’s commitment to equality of opportunity, we ask that you do not include a photo with your application.
Please refer to https://www.rwth-aachen.de/applicant-privacy-policy for information about how we collect and process applicant data in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR).
Besoldung / Entgelt
16.80 euros per hour