Student Assistant (f/m/non-binary) – Data Analysis and AI Applications for the Ongoing Research[...]

Stellenbeschreibung:

Student Assistant (f/m/non-binary) – Data Analysis and AI Applications for the Ongoing Research Project "DüWeKMU"

Institution

Chair of Machine Tools

Our Profile

For decades, the Laboratory for Machine Tools and Production Engineering (WZL) at RWTH Aachen University has been a worldwide guarantor 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 led by Prof. Dr.-Ing. Christian Brecher deals with the integrative networking of real and digital systems along the product development process.

Through systematic aggregation, analysis and interpretation of planning, process and inspection data, we create transparency in complex manufacturing environments. With the help of data science and artificial intelligence (AI), we identify optimization potential and develop models for tomorrow's production. To strengthen our team, we are looking for motivated students who would like to combine theory and practice in exciting projects. We offer our student assistants:

Interesting tasks in applied research and development around the topic of digitization in production
Active participation in industrial and research projects
Ways to write a scientific thesis

Your Profile

Currently enrolled in industrial engineering, mechanical engineering or similar engineering sciences
Interest in the topics of digitalization, data analysis and production technology
Basic knowledge or strong interest in AI topics
Very good knowledge of German or English, both written and spoken
Programming skills in Python and/or other high-level languages
Experience in data analysis is an advantage
Hands‑on mentality, initiative and 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 7–10 hours. The focus of the activities is to support the ongoing research project "DüWeKMU" with a focus on digitization and data analysis to optimize the tool path and spindle speed. Possible activities include:

Execution of test series on modern test benches and machine tools
Analysis of process data using data‑driven (AI) modeling
Training of agentic AI
Independent research work

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 7–10 hours. The salary is based on the RWTH Guidelines for Student and Graduate Assistants. The position corresponds to a pay grade of €15.20 per hour.

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 under‑represented 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