Scientific Visual is continuously working on the next challenge
We are constantly on the lookout for exceptional people to join our small team.
Interested? Feel free to apply even though this position might not be the perfect fit for you. We value attitude and experience over formal training.
Internship 2022 | Recycling of industrial organic liquids used in inspection systems
Internship / Master project proposal
Are you keen to join a company in high development phase?
Are you interested to in the Recycling?
This internship is a unique opportunity to build your knowledge in industrial organic liquids and occupational safety. This internship can be extended into a Master project.
Description
Scientific Visual quality inspection systems use a set of organic liquids for running an automated quality control on industrial crystals. Nowadays, the used liquids are thrown away. Scientific Visual is looking to develop a system for filtering, purification and recycling of these liquids for a second use.
The objective is to :
- Design the purification/recycling process
- Find out the necessary chemical components
- Build the apparatus (catalyser columns, vacuum drying chambers) to complete the task.
The objective of this Internship is to help us to understand how to recycle industrial organic liquid and have guideline for safety procedures .
Required technical knowledge:
- Chemical or environmental engineering
- Measurement of liquid properties and knowledge in optics is a plus.
Soft Skills:
- Ability to engage and represent our company in front major commercial SW providers or University Labs.
- French (Intermediate) , English (Intermediate)
Internship 2022 | Software and algorithm development for crystal cutting optimization
Interested in image processing, computer vision, or tomography? Looking for an internship that entails a wide variety of tasks, a high autonomy and an opportunity to put your creativity to good use?
Join our young software engineering team and actively participate in further developing the tools to process the data generated by our in-house tomography systems.This internship will strengthen your knowledge on a variety of software topics and allow you to face new, real-world challenges.
What is it about?
Scientific Visual produces automated systems for the quality control of industrial crystals, such as sapphire, ruby, and silicon carbide, which are used in the semiconductor, watch, and medical industries.In this context, large quantities of high-definition data are collected, in particular in the form of tomographic scans (stacks of 2D images). The scanned crystals are defined by their shape and the defects they contain. The objective of our tools is to extract and process the information useful to assess the defectiveness of a crystal. It helps to maximize the amount of high-quality LED wafers or cores that can be extracted from it.
The company has previously developed optimization methods to provide the optimal cutting plan, maximizing crystal usage and minimizing waste, for geometric shapes such as cylinders. This internship aims to extend the project by allowing arbitrary CAD objects, such as optical lenses, to be inscribed into a defective crystal volume, considerably increasing the computational and algorithmic complexity
Hard skills
• Strong background in applied mathematics and optimization
• Experience with optical imaging techniques is a big plus
• Capability to rapidly prototype new ideas and optimize existing code
• Fluent Python programming skills; familiarity with Git is a plus
Soft skills
• Capability to represent the company in front of customers and project partners
• Excellent team working capabilities while able to work autonomously
• Previous experience with processing large data
• Fluent English (written and spoken)
• Ability to socialize in French is a plus
Good to have
• German language
• Knowledge in optics
Starting time: February 2022 or later
Apply OnlineInternship 2022 | Software and algorithm development for industrial tomography data fusion
Interested in image processing, computer vision, or tomography? Looking for an internship that entails a wide variety of tasks, a high autonomy and an opportunity to put your creativity to good use?
Join our young software engineering team and actively participate in further developing the tools to process the data generated by our in-house tomography systems.This internship will strengthen your knowledge on a variety of software topics and allow you to face new, real-world challenges.
What is it about?
Scientific Visual produces automated systems for the quality control of industrial crystals, such as sapphire, ruby, and silicon carbide, which are used in the semiconductor, watch, and medical industries.In this context, large quantities of high-definition data are collected, in particular in the form of tomographic scans (stacks of 2D images). The scanned crystals are defined by their shape and the defects they contain. The objective of our tools is to extract and process the information useful to assess the defectiveness of a crystal. It helps to maximize the amount of high-quality LED wafers or cores that can be extracted from it. The company has developed different acquisition methods to maximize the accuracy of the results for different types and sizes of crystals. This project aims to develop and implement new algorithms for merging multiple scans of the same crystal by identifying matching defects and removing imaging noise and artifacts.
Hard skills
• Knowledge in mathematics, image processing and machine learning
• Experience with optical imaging techniques is a big plus
• Capability to rapidly prototype new ideas and optimize existing code
• Fluent Python programming skills; familiarity with Git is a plus
Soft skills
• Capability to represent the company in front of customers and project partners
• Excellent team working capabilities while able to work autonomously
• Previous experience with processing large data
• Fluent English (written and spoken)
• Ability to socialize in French is a plus
Good to have
• German language·
• Knowledge in optics
Starting time: February 2022 or later
Apply Online