Thesis (Bachelor / Master) - Specialist AI Vision & Defect Analysis

AUMOVIO

ThesisGerman needed: not said

Still open on 3 Nov

You apply on the company's own website.

Key facts

Language needed: German and English
Subject you study: Computer Science, AI and Data Science, AI Engineering, Applied Artificial Intelligence

Determining technical requirements and deriving functional criteria for the planned automation solution
Programming the application and integrating a suitable AI model
Providing, structuring and preparing data for training, validation and testing
Developing, optimizing and standardizing methods for automated defect detection and image evaluation
Carrying out AI-supported analyses and evaluations of image data
Ensuring the quality, completeness and informative value of image and analysis data
Creating evaluations, presentations and reports to clearly present analysis results and trends
Validating the developed solution using practical use cases

Studies in computer science, AI and data science or a comparable field
Alternatively degree programs such as AI Engineering, Applied Artificial Intelligence or Computer Science and Artificial Intelligence
Good knowledge of Python
Knowledge of machine learning and deep learning methods, for example YOLO
Experience with PyTorch or TensorFlow
Confident use of MS Office
Interest in artificial intelligence, image processing and data-driven analysis methods
Good German skills (B1-B2)
Good English skills (B1-B2)
Teamwork and strong communication skills
Quality orientation and structured way of working
High willingness to learn and motivation
Analytical thinking and strong problem-solving skills
Committed and motivated way of working
First practical experience in image processing or computer vision is an advantage

Exciting insights into the use of modern AI technologies in an industrial environment
Work on an innovative project in computer vision and defect analysis
Opportunity to apply your theoretical knowledge in practice

Determining technical requirements and deriving functional criteria for the planned automation solution
Programming the application and integrating a suitable AI model
Providing, structuring and preparing data for training, validation and testing
Developing, optimizing and standardizing methods for automated defect detection and image evaluation
Carrying out AI-supported analyses and evaluations of image data
Ensuring the quality, completeness and informative value of image and analysis data
Creating evaluations, presentations and reports to clearly present analysis results and trends
Validating the developed solution using practical use cases

Studies in computer science, AI and data science or a comparable field
Alternatively degree programs such as AI Engineering, Applied Artificial Intelligence or Computer Science and Artificial Intelligence
Good knowledge of Python
Knowledge of machine learning and deep learning methods, for example YOLO
Experience with PyTorch or TensorFlow
Confident use of MS Office
Interest in artificial intelligence, image processing and data-driven analysis methods
Good German skills (B1-B2)
Good English skills (B1-B2)
Teamwork and strong communication skills
Quality orientation and structured way of working
High willingness to learn and motivation
Analytical thinking and strong problem-solving skills
Committed and motivated way of working
First practical experience in image processing or computer vision is an advantage

Exciting insights into the use of modern AI technologies in an industrial environment
Work on an innovative project in computer vision and defect analysis
Opportunity to apply your theoretical knowledge in practice