Student Assistant (f/m/non-binary) – AI-Based Process Control in Additive Manufacturing [V000011641]

Rwth Aachen; Nordrhein-Westfalen; Sur place; EUR 18 000 - 26 000; Temps partiel

Résumé du poste

RWTH Aachen University seeks a Student Assistant (f/m/non-binary) to contribute to AI-based process control in additive manufacturing. The role is part-time (at least 10 h/week) for 12 months, with a fixed-term contract and hourly pay aligned to RWTH guidelines (approximately 15.90 EUR/hour).

The position supports the Digital Production and NC Technology group in research with industrial relevance. You will work on data-driven modeling, measurement data analysis, and integration with

Qualifications

• Degree program in Mechanical Engineering, Industrial Engineering, Electrical Engineering, Computer Science, or similar.
• Interest in data-driven process control, measurement technology, and production technology.
• Programming skills in Python, MATLAB, and/or other high-level languages.
• Very good German or English skills, both written and spoken.
• Hands-on mentality, initiative, and a structured way of working.

Responsabilités

• Carrying out and evaluating test series on a real manufacturing system.
• Preparing and analyzing measurement and process data.
• Developing and training data-driven models to predict geometric deviations.
• Supporting the development and testing of the compensation control and the digital twin.
• Independent literature research on the state of the art.

Connaissances

Python

MATLAB

German

English

High-level languages

Formation

Mechanical/Industrial/Electrical Eng or CS

Description du poste

Student Assistant (f/m/non-binary) – AI-Based Process Control in Additive Manufacturing

The Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University has stood for decades worldwide as a guarantee for successful and forward-looking research and innovation in the field of production technology. The "Digital Production and NC Technology" group at the Chair of Machine Tools, held by Prof. Dr.-Ing. Christian Brecher, focuses on the integrative connection of real and digital systems along the product development process. Through the systematic aggregation, analysis, and interpretation of planning, process, and inspection data, we create transparency in complex manufacturing environments. Using data science and artificial intelligence, we identify optimization potential and develop models for the production of tomorrow. In the research project PosCompTFW, we are developing an AI-based position compensation for additive manufacturing processes. When large components are built up layer by layer, geometric deviations occur that reduce component quality and are currently offset by high safety factors and extra material. Our goal is to detect these deviations during the process using modern measurement technology and to correct them through data-driven control directly in the machine controller. To do this, we combine machine learning methods with classical control engineering and a digital twin of the process. Finally, the approach will be tested on a real manufacturing system. To strengthen our team, we are looking for motivated students who want to combine theory and practice in exciting projects. We offer our student assistants:

• Interesting tasks at the intersection of artificial intelligence, control engineering, and production technology
• Active participation in a research project with industrial relevance
• Hands-on work with real manufacturing systems and modern measurement systems
• Opportunities to write a scientific thesis within the project

Your Profile

• Degree program in Mechanical Engineering, Industrial Engineering, Electrical Engineering, Computer Science, or similar
• Interest in data-driven process control, measurement technology, and production technology
• Basic knowledge or a strong interest in machine learningProgramming skills in Python, MATLAB, and/or other high-level languages
• Very good German or English skills, both written and spoken
• Hands-on mentality, initiative, and a structured way of working

Your Duties and Responsibilities

To support our research group, we are looking for a student assistant with a weekly working time of at least 10 hours. The focus of the activities is to support industrial and research projects with a concentration on digitalization and data analysis. Possible activities include, among others:

• Carrying out and evaluating test series on a real manufacturing system
• Preparing and analyzing measurement and process data
• Developing and training data-driven models to predict geometric deviations
• Supporting the development and testing of the compensation control and the digital twin
• Independent literature research on the state of the art

What We Offer

The successful candidate will be employed as a student assistant.
The position is to be filled at the earliest possible date and offered for a fixed term of 12 months.
There is an option to extend the contract. Longer-term employment is desirable.
This is a part-time contract position.
The standard weekly hours will be 10 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 15.90 euros per hour.

About us

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.
All University employees also have access to the Corporate Benefits online platform, which offers discounts on a wide range of products and services from participating companies.
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).