Student Assistant – Computer Vision, Deep Learning

Jobtailor; Berlin; Vor Ort; EUR 10.000 - 15.000; Teilzeit

Zusammenfassung

Jobtailor in Berlin seeks a Master’s student in computer science to advance 3D pose estimation and AI integration in the building sector. You will create synthetic datasets, script data generation from BIM/IFC models, and test neural networks while interfacing AI modules.

Strong Python, OpenCV, and deep learning skills are essential; knowledge of rendering engines or BIM systems is a plus. The role emphasizes independent yet collaborative work within a team, employing graphics and vision

Qualifikationen

• Master's student in computer science at a Berlin university.
• Above-average grades.
• Very good programming skills in Python.
• Proficiency in graphics and computer vision libraries such as OpenCV and OpenGL.
• Proficiency in deep learning frameworks such as PyTorch or TensorFlow.
• Good theoretical knowledge of computer graphics and computer vision.
• Knowledge of 3D transformations and camera models.
• Ideally basic knowledge of rendering engines or BIM systems.

Aufgaben

• Support the development and integration of 3D pose estimation and localization methods in the building sector.
• Create synthetic reference datasets.
• Develop Python scripts for automatically creating and annotating training data from real building models.
• Develop scripts for processing BIM and IFC data.
• Test neural networks in the building domain.
• Create interfaces between AI modules.

Kenntnisse

Python Programming

OpenCV Proficiency

Pytorch Framework

3D Transformations Knowledge

BIM Data Processing

IFC Data Processing

Synthetic Dataset Creation

Neural Network Testing

Computer Graphics Knowledge

Camera Models Knowledge

Ausbildung

Master's degree in computer science

Tools

OpenGL

Blender

Unity

Unreal Engine

Jobbeschreibung

• Support the development and integration of 3D pose estimation and localization methods in the building sector
• Create synthetic reference datasets
• Develop Python scripts for automatically creating and annotating training data from real building models
• Develop scripts for processing BIM and IFC data
• Test neural networks in the building domain
• Create interfaces between AI modules

Requirements

• Master's student in computer science or an equivalent subject at a Berlin university or college
• Above-average grades
• Very good programming skills in Python
• Proficiency in graphics and computer vision libraries such as OpenCV and OpenGL
• Proficiency in deep learning frameworks such as Pytorch or Tensorflow
• Good theoretical knowledge of computer graphics and computer vision
• Knowledge of 3D transformations and camera models
• Ideally, basic knowledge of rendering engines such as Blender, Unity, or Unreal Engine, or BIM systems
• Structured way of working independently and within a team

Core Competencies

Demonstrates expertise in Python programming and proficiency in graphics and computer vision libraries, with a strong foundation in deep learning frameworks. Capable of developing and integrating 3D pose estimation methods and processing BIM and IFC data in the building sector.

Highest-signal resume keywords

• Python Programming
• OpenCV Proficiency
• Pytorch Framework
• 3D Transformations Knowledge
• BIM Data Processing

ATS Optimization Keywords

Hard Skills

• Python Programming
• Deep Learning Frameworks
• Computer Vision Libraries
• 3D Pose Estimation
• BIM Data Processing
• IFC Data Processing
• Synthetic Dataset Creation
• Neural Network Testing
• Computer Graphics Knowledge
• Camera Models Knowledge

Soft Skills

• Structured Working
• Team Collaboration

Industry Keywords

• Building Sector
• AI Modules Integration
• Training Data Annotation

Tools & Technologies

• OpenGL
• Blender
• Unity
• Unreal Engine