Data Science Internship/Graduation Assignment
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Description
About Canon Production Printing
Canon Production Printing (CPP) is a global leader in developing and manufacturing high-tech printing products and workflow software for the commercial printing market. As part of the larger Canon group, a global provider of imaging technologies and services, CPP operates on three continents with approximately 3300 employees (as of end 2022) and its global headquarters in Venlo, the Netherlands.
CPP specializes in high-volume inkjet printers designed for businesses seeking a combination of high speed, low operational costs, high quality, and flexibility. These printers cater to the needs of the business-to-business market.
Description: Data Science Internship/Graduation Assignment
Project Goal: To develop a method to automatically determine the most probable failure mechanism of a replaced printhead based on logging data.
Key Responsibilities:
• Failure Mechanism Classification: Develop a method to automatically classify the failure mechanism of a replaced printhead using logging data.
• Dealing with Unknown Failure Mechanisms: Implement a solution to handle unforeseen failure mechanisms.
• Predictive Failure Warning: Apply the developed method to predict potential failures in printheads that haven’t yet been replaced, issuing timely warnings.
• Handling Large Datasets: Work with large amounts of data, including high-frequency sensor data (logged every few seconds) and lower-frequency error codes and usage data (logged hourly).
• Dealing with Limited Failure Data: Develop solutions to work with relatively small amounts of failure data (typically 20-30 instances per failure mechanism).
Challenges:
• Analyze and interpret various data types, including sensor data, error data, performance data, and usage data.
• Develop robust classification models to identify failure mechanisms with high accuracy.
• Design and implement algorithms that can handle unknown or emerging failure modes.
• Effectively manage and process large datasets with varying logging frequencies.
• Overcome the challenges associated with limited failure data and extract meaningful insights.
Ideal Candidate Profile:
• Currently studying Data Science or Data Analytics.
• Seeking a Master’s internship or graduation assignment at a large international company.
• Possesses a critical and inquisitive mindset.
• Has basic Python and SQL knowledge.
• Available for 5 to 8 months, working a minimum of 4 days per week.
Benefits:
• Challenging Assignment: Work on a real-world project with expert coaching and guidance.
• Internship/Graduation Compensation: Receive €500,- per month.
• Travel Cost Reimbursement: Receive travel cost compensation if you don’t have an “OV-weekcard.”
• Networking Opportunities: Network with professionals across various disciplines within and outside your field of expertise.
• Collaborative and Empowering Environment: Experience a company culture that values collaboration, innovation, and ownership, fostering personal growth and professional development.
To Apply:
Interested candidates are encouraged to click the “apply now” button and upload their resume and motivation letter.
For additional information about the assignment, please contact Evelyne Janssen at +31 (0)77 359 2694. For general internship inquiries, contact Milou Geelen at + 31 6 25653192.
