Research Assistant/PhD: Building Layout Optimization in Architectural Design
Institute of Visual Computing and Human-Centered Technology at Vienna University of Technology invites applications for Research Assistant position in the field of building layout optimization in architectural design.
We are seeking a motivated and talented researcher with interest in design and development of novel methods for automatic layout generation for factories to boost production bootstrapping and support factory reconfiguration during production. In this research we plan to develop novel methods for layout optimization which will take into account structural stability, possible variants of production plan, cost and other rules and constraints. These novel algorithms for optimization of factory layout will boost the production by allowing factory buildings to count with the production requirements as well as production reconfiguration. The implementation of the research prototype may use some of the following software packages: Unity3D with C#, Rhino, Grasshopper, Karmba3D, Dlubal, Autodesk Revit and Archicad.
The position is open immediately until filled. It is offered on the level of a non-permanent university researcher for 2,5 years. Potentially, the research position can be held as PhD study. The position can be prolonged upon funding extension.
- MSc. degree or equivalent in Computer Science or related fields
- Motivation to perform independent research in an interdisciplinary team
- Preferably previous experience related to the respective topic
- Expertise in software development for graphics/interactive systems
- Good communication and writing skills in English
- Experience in one or more of the software packages: Unity3D with C#, Rhino, Grasshopper, Karmba3D, Dlubal, Autodesk Revit and Archicad
- Good knowledge of optimization algorithms
How to apply:
Candidates should send electronically an application with letter of motivation, complete CV, grades and transcripts, relevant certificates, and possible links to relevant prior publications (including master thesis) via email. The compiled material should be sent in PDF format to:
Please feel free to get in contact in case of questions. We are looking forward to hearing from you.