Job Description Summary

We are seeking a motivated and talented Master's student to join our team at our Harryda office in Sweden for a thesis project focused on automating the analysis of LayerQam images using Machine Learning (ML). LayerQam is Colibrium Additive's proprietary process monitoring system, capturing images for each layer during the EBM process to enable real-time monitoring. This project aims to explore unsupervised ML approaches to reduce the need for manual annotation and improve the efficiency of image analysis.
The selected candidate will summarize the state-of-the-art ML libraries for image analysis, evaluate their suitability for LayerQam images, and implement and train an ML model. The project will conclude with a comparison of the ML model's performance against traditional OpenCV algorithms.

Job Description

About Us

Colibrium Additive, formerly known as Arcam AB, is a GE Aerospace company and a pioneer in Electron Beam Melting (EBM) technology. Our EBM machines are utilized globally across industries, including aerospace and medical sectors. In aerospace, EBM enables the production of high-temperature applications such as turbine blades, while in the medical field, it is used to manufacture orthopedic implants in titanium. At Colibrium Additive, we are committed to innovation, quality, and advancing additive manufacturing technologies to meet the highest industry standards.

Key Responsibilities

• Conduct a literature review to summarize the current state-of-the-art ML libraries for image analysis.
• Evaluate and select the most suitable ML libraries for LayerQam images captured during the EBM process.
• Implement and train an unsupervised ML model for LayerQam image analysis.
• Compare the performance of the ML model with traditional OpenCV algorithms.
• Document findings and provide recommendations for future development.

Requirements

• Currently enrolled in a Master's program in Computer Science, Machine Learning, Data Science, or a related field.
• Strong understanding of Machine Learning concepts, particularly unsupervised learning techniques.
• Experience with image analysis and familiarity with libraries such as OpenCV, TensorFlow, PyTorch, or similar.
• Proficiency in programming languages such as Python or C++.
• Ability to work independently and collaboratively in a team environment.
• Excellent analytical, problem-solving, and communication skills.
• Fluency in English, both written and spoken.

Colibrium Additive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, sexual orientation, age, disability, or any other legally protected status.

At Colibrium Additive, you will have the opportunity to work on cutting-edge technology in additive manufacturing and contribute to advancements in aerospace and medical industries. This Master's thesis project offers a unique chance to gain hands-on experience in Machine Learning and image analysis while working in a collaborative and innovative environment.

If you are passionate about Machine Learning and eager to make an impact in the field of additive manufacturing, we encourage you to apply for this exciting opportunity. To apply, please submit your CV, cover letter, and any relevant academic transcripts.

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Additional Information

Relocation Assistance Provided: No