Computational Designer - Working Student (m/f/d)

Computational Designer - Working Student (m/f/d)

Computational Designer - Working Student (m/f/d)

Computational Designer - Working Student (m/f/d)

D3Companion GmbH

Baugewerbe

Berlin

  • Art der Beschäftigung: Studierende
  • Vor Ort

Computational Designer - Working Student (m/f/d)

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Über diesen Job

D3Companion is an early-stage startup developing AI-powered
tools for the Architecture, Engineering and Construction (AEC) industry,
aiming to reshape how we design, build, and interact with the built
environment.

Eligibility

This is a Working Student (Werkstudent) position. To be considered, you must be currently enrolled as a student (BSc/MSc) at a university in Berlin or Brandenburg. Applications that do not meet this criteria cannot be considered.

Tasks

Role Description

We are seeking a Computational Designer for a part-time role (20 hours/week) based in Berlin, Germany.

What you will do:

  • Develop parametric models and generative design workflows using Grasshopper, Dynamo, or similar tools
  • Write scripts (Python/C#) to automate design tasks and extend BIM software capabilities
  • Collaborate with developers to prototype and test AI-driven design features
  • Create and maintain computational design templates and libraries
  • Explore data-driven approaches to architectural and structural analysis
  • Contribute to research on emerging computational methods in AEC

Requirements

Required Skills:

  • Proficiency in Rhino + Grasshopper
  • Experience with Python or C# for scripting in design environments
  • Solid understanding of geometry, parametric logic, and design automation
  • Fluent in English (written and spoken)

Nice to Have:

  • Familiarity with BIM workflows and data structures (IFC, Revit API, etc.)
  • Experience with web technologies (JavaScript, Three.js, or similar)
  • Familiarity with machine learning concepts or AI tools applied to design
  • Knowledge of structural or environmental analysis tools
  • German language skills

Please include:

  • Your CV
  • A portfolio or link to your work

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