WO: Internship Data science (deep learning)

Job Description:

Complementing physical modeling using state of the art deep learning techniques

Your assignment

At Canon R&D, we constantly strive to develop better products in terms of improved print quality, cost and productivity. An important print quality aspect is media deformation in the form of curling, waviness or cockling of printed media (e.g. paper) when liquid ink dries. To minimize this, a highly sophisticated fixation module is designed in the printer. Your assignment will be to apply advanced deep learning techniques to develop a predictive media deformation model using images captured by the height camera system. Generating a rich training dataset is part of this assignment by varying the factors and performing experiments on a lab-model printer or simulations on existing physical models. This predictive model will then be used to further understand and optimize the fixation module.

This assignment encompasses:

• Study of physical processes within the print engine and existing physical models
• Feature engineering and dimensionality reduction on 3D/4D data sets
• Generate rich data using experiments and simulations
• Train and evaluate several deep learning models
• Provide insights using XAI tools and visualizations

Your profile

• Perusing Masters in one of the STEM disciplines: Data Science/ AI/ Applied Physics/ Systems & control/ Computer science or equivalent
• Successfully completed courses in machine learning and deep learning
• Basic knowledge of data mining, signal/ image processing, data structures, algorithms and software engineering fundamentals
• Programming skills in Python (NumPy, SciPy, Pandas, Matplotlib, ML/DL packages) is a prerequisite
• Affinity with the application domain of physical processes leading to media deformation
• Analytical mindset and problem solving attitude
• Collaborative but can also work independently
• Excellent communication and presentation skills
• Fluent in English, verbally and written
• Excited to work in a large multi-disciplinary organization
• Available to work in Venlo, Netherlands for 6+ months as a graduation assignment

What’s in it for you?

• A challenging assignment with skilled coaching
• Internship/ Graduation fee up to €500,- per month
• Travel cost compensation if you don’t have an ‘OV-weekcard’
• Good growth opportunities within CPP, thanks to our diversity of disciplines which you will work with
• The possibility to network with professionals at CPP, inside and outside your field of expertise