Student projects

We generally have positions available for TU Delft bachelor and master students in computer science. These positions will be as intern at ING, supervised by researchers from AFR. This can be part of the

  • 2nd year TU Delft bachelor software project (in teams of 4)
  • 3d year TU Delft bachelor thesis project (individual)
  • TU Delft master thesis project (individual)

If you are interested in such a position, checkout the current tracks and contact the relevant people. You will be hired as ING intern during your project, which includes an ING selection procedure. Be sure to contact us at least two months before the intended starting date of your project. For all projects, it is required to spend at least 4 days per week at the ING CumulusPark campus.

If you study at a different university and you would like to write a research master thesis in the context of one of the AFR tracks, you should ask your university supervisor to contact us. We have limited places available, but are always interested in new research opportunities.

For general inquiries, please contact Luís Cruz.


Completed research projects

Name Period Role Thesis Advisors
Jurriaan den Toonder Graduated MSc S.C.A.L.E.: Scheduler for Carbon-Aware Load Execution in OpenShift at ING Thomas Durieux
Martijn Steenbergen Graduated MSc Reducing Human Error in Online Controlled Experiments Kevin Anderson, Arie van Deursen
Ernst Mulders Graduated MSc Validating ING’s A/B testing platform Georgios Gousios, Hennie Huijgens
Alex Boyko Graduated (September 2021) MSc Semantic linking for IT asset discovery Floris den Hengst
Kanya Koesoemo Graduated (November 2021) MSc Streaming data applications Asterios Katsifodimos
Arthur Breurkes Graduated (May 2021) MSc Data profiling Christoph Lofi
Kyriakos Psarakis Graduated MSc Holistic Schema Matching at Scale Christoph Lofi, Asterios Katsifodimos
Andra-Denis Ionescu Graduated (February 2020) MSc Reproducing state-of-the-art schema matching algorithms Christoph Lofi
Reinier Koops Graduated (May 2022) MSc Building Interactive Text-to-SQL Systems Sara Salimzadeh, Ujwal Gadiraju
Bart van Oort Graduated (October 2021) MSc Code smells in ML applications Luís Cruz, Maurício Aniche
Yuanhao Xie Graduated (November 2020) MSc AI Model Lifecycle Management: Systematic Mapping Study and Solution for AI Democratisation Luís Cruz, Jan Rellermeyer
Mark Haakman Graduated (July 2020) MSc Studying the Machine Learning Lifecycle and Improving Code Quality of Machine Learning Applications Luís Cruz
MyeongJung Park Graduated (January 2020) MSc A Monitoring System for Machine Learning Models in a Large-Scale Context Hennie Huijgens, Arie van Deursen
Marlo Ploemen Graduated (July 2021) MSc Service versioning in Stateful FaaS Asterios Katsifodimos, Marios Fragkoulis
Elvan Kula Graduated MSc Releasing Fast and Slow: Characterizing Rapid Releases in a Large Software-Driven Organization Georgios Gousios
Martijn van den Hoek Graduated (August 2020) MSc DevOps Metrics and KPIs Sebastian Proksch
Pradyot Patil Graduated (March 2021) MSc Incident prediction, entropy of time series Elvan Kula, Georgios Gousios
Thomas Kolenbrander Graduated (February 2021) MSc Major incident detection Elvan Kula, Georgios Gousios
Joaquin van Loon, Marius Birkhoff, Remco den Heijer Finished BSc ML-based story point estimation Elvan Kula, Georgios Gousios
Manisha Sethia Graduated (September 2021) MSc Fairness and accountability in ML Agathe Balayn, Christoph Lofi
Purvesh Baghele Graduated (August 2021) MSc Interpretability tools for ML models Cynthia Liem
Wim Spaargaren Graduated (May 2020) MSc Systematic literature reviews: A Case Study in FinTech and Automated Tool Support Hennie Huigens, Arie van Deursen
Ernst Mulders Graduated (December 2019) MSc Data Driven Decisions: Validating and Supporting a Continuous Experimentation Development Environment Georgios Gousios, Hennie Huijgens
Ka-Wing Man Graduated (August 2020) MSc Predicting software vulnerabilities with unsupervised learning techniques Sicco Verwer, Annibale Panichella
Dinesh Bissesar Graduated (December 2020) MSc Predicting True Vulnerabilities from Static Analyzer Warnings in Industry Sicco Verwer, Annibale Panichella