Master's Thesis in Software Development: Automated Dataset Quality Assessment for Machine Learning

3 weken geleden


Utrecht, Utrecht, Nederland Info Support Voltijd

Master's Thesis in Software Development: Automated Dataset Quality Assessment for Machine Learning

We are seeking a talented master's student to join our research team at Info Support, a leading provider of custom software, data, and AI solutions. As a master's thesis student, you will have the opportunity to work on a challenging project that focuses on improving the quality of datasets for machine learning models.

About the Project

The project aims to develop an automated system for assessing the quality of datasets, enabling developers to quickly identify potential issues and improve the accuracy of their machine learning models. Your task will be to design, implement, and evaluate a system that can automatically assess dataset quality, taking into account various factors such as data distribution, noise, and bias.

About Info Support

Info Support is a solid, growing, and financially healthy company that specializes in custom software, data, and AI solutions. We provide innovative solutions for complex software issues and have a strong focus on research and development. Our team is passionate about staying up-to-date with the latest developments in the field and is committed to delivering high-quality results.

What We Offer

  • A challenging master's thesis project that focuses on improving dataset quality for machine learning models
  • Professional guidance and support from our experienced research team
  • A graduation program with training sessions, knowledge evenings, project visits, and team outings
  • Experimentation with new products and releases that are in the pre-release phase
  • Potential for a permanent position in our IT Top Traineeship program

Requirements

  • Master's student in Software Development or a related field
  • Strong programming skills in languages such as Python or Java
  • Experience with machine learning and data analysis
  • Good communication and teamwork skills

Procedure

  1. Kennismakingsgesprek: We will schedule a meeting to discuss your study background, interests, and ambitions, as well as our company and the project.
  2. Assessment: If we decide to proceed, you will complete an assessment of your professional knowledge and personality.
  3. Selectie interview: We will conduct a selection interview to further discuss your professional knowledge and personality.
  4. Contract signing: If everything goes well, you will receive a contract offer, and we will invite you to sign the contract.


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