Master's thesis in Software Development: Automatic assessment of dataset quality for Machine Learning

1 week geleden


Utrecht, Utrecht, Nederland Info Support Voltijd
Master's Thesis Opportunity at Info Support

We are seeking a talented student to work on a Master's thesis project at Info Support, a leading provider of custom software, data/AI solutions, and management services. The project focuses on improving the quality of machine learning models through automated dataset assessment.

About the Project

The rise of automated machine learning tools has made it easier for developers to build machine learning models. However, there is a need to improve the assessment of data quality and the preparation of datasets for machine learning. Our goal is to help developers with automated assessment of dataset quality, enabling them to quickly determine whether a dataset is suitable for training a machine learning model without requiring extensive knowledge in statistics or data analysis.

What You Will Do
  • Conduct research on automated dataset quality assessment for machine learning models
  • Analyze and design a solution for improving dataset quality
  • Implement and document the solution
What You Will Get
  • A challenging and rewarding Master's thesis project
  • Professional guidance and support from our research team
  • Opportunity to work on a real-world project with a leading company in the industry
  • €1000 compensation, €500 + lease car or €600 + living space
  • Two vacation days per month
About Info Support

Info Support specializes in custom software, data/AI solutions, management, and training. We provide solid and innovative solutions for complex and critical software issues. Our headquarters are located in Veenendaal (NL) and Mechelen (BE). We are a Top Employer in the Netherlands and have a strong focus on knowledge sharing and employee development.

Requirements
  • Bachelor's degree in Computer Science or related field
  • Strong programming skills in languages such as Python or Java
  • Experience with machine learning and data analysis
  • Good communication and teamwork skills
Selection Process

The selection process will consist of the following steps:

  1. Kennismakingsgesprek (getting to know each other)
  2. Assessment of professional knowledge and personality
  3. Selectie interview (in-depth discussion of professional knowledge and personality)
  4. Contract signing


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