Student Assistant (m/f/d) - Development of the iwb Smart Production Lab

Institut

Institut für Werkzeugmaschinen und Betriebswissenschaften

Typ

HiWi-Tätigkeit /

Inhalt

 

Beschreibung

Motivation

Are you passionate about the future of manufacturing, Industry 4.0, and digitalization? Do you want to gain hands-on experience in a cutting-edge research environment? The Institute for Machine Tools and Industrial Management (iwb) at TUM is a leading institution in production science. Our Smart Production Lab serves as a vital research and demonstration platform for developing and testing innovative manufacturing concepts. We are seeking a motivated and tech-savvy student assistant (m/f/d) to actively contribute to the enhancement of our lab's digital capabilities, applying theoretical knowledge to practical challenges. This is your chance to work with state-of-the-art technology and contribute directly to tangible results in a smart factory environment.

Objective

The primary goal of this position is to support the ongoing development and improvement of digital tools within our Smart Production Lab. You will play a key role in enhancing our data acquisition and visualization capabilities, making manufacturing processes more transparent and efficient.

Your specific tasks will include:

1. Enhancement of a Smart Camera Application for Quality Control:

• Further develop and optimize an existing application utilizing smart camera technology for automated quality inspection during production steps (as conceptually shown in Image 1).
• This may involve refining image processing algorithms, improving application logic, or enhancing integration with our manufacturing systems.

1. Development of a KPI Dashboard with Microsoft Power BI:

• Design, implement, and deploy a dynamic dashboard to visualize Key Performance Indicators (KPIs) from our manufacturing processes.
• Connect to our Tulip Manufacturing Execution System (MES) interfaces to retrieve relevant production data.
• Structure, model, and transform the data within Power BI for effective analysis.
• Create clear, insightful, and visually appealing visualizations.
• Optimize the dashboard layout and interactivity specifically for display on a Samsung Flip screen within the lab.

Voraussetzungen

Qualifications

We are looking for a proactive and reliable student who meets the following criteria:

• Field of Study: Currently enrolled as a student (Bachelor or Master) in Engineering (Mechanical, Electrical, Industrial), Computer Science, Informatics, Data Science, Wirtschaftsinformatik (Business Informatics), or a closely related technical field.
• Technical Skills:
  • Essential: Strong interest and initial practical experience with Microsoft Power BI or comparable Business Intelligence and data visualization tools.
  • Advantageous: Basic programming skills (e.g., Python) are beneficial, especially for the smart camera task or data handling.
  • Advantageous: First experiences with image processing concepts or libraries (e.g., OpenCV).
  • Advantageous: Familiarity with Manufacturing Execution Systems (MES), databases, or API interactions; specific knowledge of Tulip is a plus.
• Interests: Genuine enthusiasm for Smart Manufacturing, Industry 4.0, IoT, and data-driven production environments.
• Personal Attributes:
  • Analytical mindset and a structured approach to problem-solving.
  • Ability to work independently and take initiative.
  • Good communication skills (German and/or English).
  • Team player mentality.

Why iwb?

• Direct involvement in innovative research projects at a leading university institute.
• Hands-on experience with modern Industry 4.0 technologies (Smart Cameras, MES, BI Tools, Interactive Displays).
• Opportunity to significantly contribute to a real-world Smart Factory demonstrator.
• A dynamic and supportive team environment.
• Flexible working hours (e.g., approx. 8-15 hours per week, adjustable to your study schedule).
• Compensation according to TUM standards for student assistants (HiWi).

Tags

iwbStang

Möglicher Beginn

sofort

Kontakt

Julian Stang
Tel.: +49 (89) 289 - 155 49
julian.stangiwb.tum.de

Ausschreibung