SICK is one of the world’s leading solutions providers for sensor-based applications in the industrial sector. Founded in 1946 by Dr.-Ing. e. h. Erwin Sick, the company with headquarters in Waldkirch im Breisgau near Freiburg ranks among the technological market leaders. With 63 subsidiaries and equity investments as well as numerous agencies, SICK maintains a presence around the globe. SICK has more than 10,000 employees worldwide and generated a group revenue of EUR 2.1 billion in the 2024 fiscal year.

SICK is one of the world’s leading solutions providers for sensor-based applications in the industrial sector. Founded in 1946 by Dr.-Ing. e. h. Erwin Sick, the company with headquarters in Waldkirch im Breisgau near Freiburg ranks among the technological market leaders. With 63 subsidiaries and equity investments as well as numerous agencies, SICK maintains a presence around the globe. SICK has more than 10,000 employees worldwide and generated a group revenue of EUR 2.1 billion in the 2024 fiscal year.

Thesis: AI-based chatbot for modeling production areas*

Thesis: AI-based chatbot for modeling production areas*

SICK AG
SICK AG

Reute (bei Freiburg), DE, 79276

Reute (bei Freiburg), DE, 79276

Full-time
Full-time

Winter Semester 2025/26 - limited to 3-6 months

 

We describe and model production areas and their properties in the form of a generic, digital data model. Such a model can be used to generate a complete material flow simulation at the touch of a button, for example. However, collecting the data is currently time-consuming and requires detailed knowledge of the model in addition to knowledge of the production area. We are currently conducting interviews with users in order to determine the data and transfer it into a model. As part of this thesis, you will evaluate whether and how such interviews can be conducted by a chatbot. The chatbot should ask for all necessary data in dialog and thus support the mapping and modeling. The result is the data-based description of a production area in the form of the existing model.

 

YOUR TASKS:

  • Familiarize yourself with the existing data model and the current approach to data collection.
  • Research the current state of the art in the field of chatbots and AI-based dialogue systems.
  • Evaluate different approaches and ideas for implementing the chatbot.
  • Implement a chatbot that collects the necessary data and transfers it into the model.
  • Evaluate the performance of the chatbot in specific use cases and identify potential areas for improvement.


YOUR PROFILE:

  • You are studying Computer Science with a focus on Artificial Intelligence.
  • Experience with chatbots and AI-based systems is a plus.
  • You have an interest in production, logistics, and optimizing them through AI.
  • You work independently, creatively, and solution oriented.

 

YOUR APPLICATION:

  • We are looking forward to your online application
  • Sarah Disch
  • Job-ID 36787 
  • All applications will be treated confidentially

 

*At SICK, we see people, not gender. 

We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.

Stichworte: Abschlussarbeit 

Winter Semester 2025/26 - limited to 3-6 months

 

We describe and model production areas and their properties in the form of a generic, digital data model. Such a model can be used to generate a complete material flow simulation at the touch of a button, for example. However, collecting the data is currently time-consuming and requires detailed knowledge of the model in addition to knowledge of the production area. We are currently conducting interviews with users in order to determine the data and transfer it into a model. As part of this thesis, you will evaluate whether and how such interviews can be conducted by a chatbot. The chatbot should ask for all necessary data in dialog and thus support the mapping and modeling. The result is the data-based description of a production area in the form of the existing model.

 

YOUR TASKS:

  • Familiarize yourself with the existing data model and the current approach to data collection.
  • Research the current state of the art in the field of chatbots and AI-based dialogue systems.
  • Evaluate different approaches and ideas for implementing the chatbot.
  • Implement a chatbot that collects the necessary data and transfers it into the model.
  • Evaluate the performance of the chatbot in specific use cases and identify potential areas for improvement.


YOUR PROFILE:

  • You are studying Computer Science with a focus on Artificial Intelligence.
  • Experience with chatbots and AI-based systems is a plus.
  • You have an interest in production, logistics, and optimizing them through AI.
  • You work independently, creatively, and solution oriented.

 

YOUR APPLICATION:

  • We are looking forward to your online application
  • Sarah Disch
  • Job-ID 36787 
  • All applications will be treated confidentially

 

*At SICK, we see people, not gender. 

We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.

Stichworte: Abschlussarbeit 

WHAT YOU CAN LOOK FORWARD TO:

Attractive Remuneration: Internships and theses are attractively remunerated at SICK. 
  
Mobile Work: Students can work remotely as far as their tasks permit. 
  
Flexible Working Hours: The weekly working time is 35 hours with the possibility of compensating overtime with time off. 
  
Subsidised Regional Meals and Free Drinks: Students receive an additional 50% discount in our company restaurants. 
  
Welcome Event and Networking: ‘Welcome @ SICK’ and regular networking opportunities to meet other students. 
  
Training: Wide range of trainings via the Sensor Intelligence Academy. 
  
Support in Finding Accommodation: SICK supports students in their search for accommodation at the Freiburg and Waldkirch locations. 
  
Wide Range of Sports and Hansefit: For an attractive monthly fee, you can use over 8,500 different fitness and leisure facilities throughout Germany. 
 

Discover All Benefits

WHAT YOU CAN LOOK FORWARD TO:

  • Attractive Remuneration
  • Mobile Work
  • Flexible Working Hours
  • Subsidised Food & Free Drinks
  • Welcome Event & Networking
  • Training & Development
  • Support in Finding Accommodation


Discover All Benefits