Automatic assessment of dataset quality for ML

With the rise of automated machine learning tools it becomes much easier for developers to build machine learning models.

Required interest(s)

  • Software Architecture
  • Software Development Methodologies
  • Artificial Intelligence

What do you get

  • A challenging assignment within a practical environment
  • € 1000 compensation, € 500 + lease car or € 600 + living space
  • Professional guidance
  • Courses aimed at your graduation period
  • Support from our academic Research center at your disposal
  • Two vacation days per month

What you will do

  • 65% Research
  • 10% Analyze, design, realize
  • 25% Documentation

But this also means there’s a need to improve in other areas of the process of building a machine learning model, like the assessment of data quality and the preparation of a dataset for machine learning. We want to help developers with automated assessment of dataset quality. So that they can quickly see whether a dataset is usable for training a machine learning model without needing extensive knowledge in statistics or data analysis. Research question: How can we automatically assess the quality of a dataset?

About Info Support Research Center

We anticipate on upcoming and future challenges and ensures our engineers develop cutting-edge solutions based on the latest scientific insights. Our research community proactively tackles emerging technologies. We do this in cooperation with renowned scientists, making sure that research teams are positioned and embedded throughout our organisation and our community, so that their insights are directly applied to our business. We truly believe in sharing knowledge, so we want to do this without any restrictions.

Sign up for this assignment

  • Geaccepteerde bestandstypen: docx, doc, txt, pdf.
  • Geaccepteerde bestandstypen: docx, doc, txt, pdf.

Application procedure

  1. 1
  2. Introductory meeting

    Discuss (study) career, interests and ambitions and introduction Info Support.

  1. 2
  2. Review

    Assessment of professional knowledge and personality (capacity, competences and motives).

  1. 3
  2. Selection interview

    Deepen professional knowledge and personality.

  1. 4
  2. The signing of a contract

    Contract offer and invitation for drawing moments.