2023

• Richard Post: Causal Effect Heterogeneity (winner)
• Wouter Kool: Learning and Optimization in Combinatorial Spaces with a Focus on Deep Learning for Vehicle Routing (honorable mention)

2022

• Collin Drent: Structured Learning and Decision Making for Maintenance (winner)

2021

• Rianne de Heide: Bayesian Learning: Challenges, Limitations and Pragmatics (winner)

2020

• Michiel uit het Broek: Condition-Based Production and Maintenance Decisions (winner)
• Marc Nientker: On the Stability of Stochastic Dynamic Systems and their Use in Econometrics (honorable mention)

2019

• Jesse Hemerik: Permutation-Based Inference for High-Dimensional Data (winner)

2018

• Robbie van Aert: Meta-Analysis: Shortcomings and Potential (winner)
• Frans de Ruiter: Primal and Dual Approaches to Adjustable Robust Optimization (honorable mention)

2017

• Stéphanie van der Pas: Topics in Mathematical and Applied Statistics (winner)

• Krzysztof Postek: Distributionally and Integer Adjustable Robust Optimization (honorable mention)

2016

• Ward Romeijnders: Total Variation Error Bounds for Convex Approximations of Two-Stage Mixed-Integer Recourse Models (winner)

2015

• Bram L. Gorissen: Practical Robust Optimization Techniques and Improved Inverse Planning of HDR Brachytherapy (winner)
• Jan-Pieter L. Dorsman: Layered Queueing Networks – Performance Modelling, Analysis and Optimisation (honorable mention)

2014

• Botond Szabó: Adaptation and Confidence in Nonparametric Bayes (winner)
• Thomas Klausch: Informed Design of Mixed-Mode Surveys (winner)

2013

• Thomas Claassen: Causal Discovery and Logic (winner)
• Arnoud den Boer: Dynamic Pricing and Learning (honorable mention)

2012

• Jevgenijs Ivanovs: One-sided Markov Additive Processes and Relaxed Exit Problems (winner)
• Peter van de Ven: Stochastic Models for Resource Sharing in Wireless Networks (honorable mention)
• Ruud Wetzels: Bayesian Model Selection with Applications in Social Science (honorable mention)