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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, Breisgau near Freiburg ranks among the technological market leaders. With more than 50 subsidiaries and equity investments as well as numerous agencies, SICK maintains a presence around the globe. SICK has more than 12,000 employees worldwide and generated a group revenue of around EUR 2.3 billion in the 2023 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, Breisgau near Freiburg ranks among the technological market leaders. With more than 50 subsidiaries and equity investments as well as numerous agencies, SICK maintains a presence around the globe. SICK has more than 12,000 employees worldwide and generated a group revenue of around EUR 2.3 billion in the 2023 fiscal year.

Thesis: Extension of a material flow simulation with photorealistic 3D representation*

Thesis: Extension of a material flow simulation with photorealistic 3D representation*

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 characteristics in the form of a generic digital data model. Based on this model, a complete material flow simulation can be generated at the push of a button, using the simulation tool AnyLogic. The focus so far has been on accurately representing the logical processes. The goal of this thesis is to extend this simulation with a photorealistic 3D visualization by integrating NVIDIA Omniverse with AnyLogic and extending the data model accordingly.


YOUR TASKS:

  • Familiarize yourself with NVIDIA Omniverse and AnyLogic.
  • Understand the existing data model and its structure.
  • Extend the data model to include visualization aspects.
  • Evaluate the Omniverse interface already available for AnyLogic.
  • Implement an example extension of the existing data model with a photorealistic 3D representation.


YOUR PROFILE:

  • You are studying Computer Science, Mechanical Engineering, or a related field.
  • You are interested in simulation tools and 3D visualization.
  • Initial experience with AnyLogic and/or NVIDIA Omniverse is a plus.
  • You are creative and work independently.

 

YOUR APPLICATION:

  • We are looking forward to your online application
  • Sarah Disch
  • Job-ID 36786 
  • 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 characteristics in the form of a generic digital data model. Based on this model, a complete material flow simulation can be generated at the push of a button, using the simulation tool AnyLogic. The focus so far has been on accurately representing the logical processes. The goal of this thesis is to extend this simulation with a photorealistic 3D visualization by integrating NVIDIA Omniverse with AnyLogic and extending the data model accordingly.


YOUR TASKS:

  • Familiarize yourself with NVIDIA Omniverse and AnyLogic.
  • Understand the existing data model and its structure.
  • Extend the data model to include visualization aspects.
  • Evaluate the Omniverse interface already available for AnyLogic.
  • Implement an example extension of the existing data model with a photorealistic 3D representation.


YOUR PROFILE:

  • You are studying Computer Science, Mechanical Engineering, or a related field.
  • You are interested in simulation tools and 3D visualization.
  • Initial experience with AnyLogic and/or NVIDIA Omniverse is a plus.
  • You are creative and work independently.

 

YOUR APPLICATION:

  • We are looking forward to your online application
  • Sarah Disch
  • Job-ID 36786 
  • 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

Apply now »