Martijn Naaijer
Postdoctoral Researcher at University of Zurich
Gelderland, Netherlands
Summary
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Senior🎓
Top SchoolMartijn Naaijer is a postdoctoral researcher combining statistics, machine learning and digital philology to build linguistically annotated corpora of ancient Hebrew, Aramaic and Ugaritic. With an 11-year career spanning academia and industry, he has moved from a PhD in Digital Humanities to data science roles and research positions at University of Copenhagen and University of Zurich. His work blends computational methods with deep subject knowledge—he is simultaneously completing a monograph on spelling variation in Ancient Hebrew while developing ML-driven annotation pipelines. Trained also in chemistry and theology, he brings interdisciplinary curiosity and practical engineering experience from industry projects at BLOXS software. Comfortable with modern ML techniques (including deep reinforcement learning coursework), he bridges rigorous scholarship and reproducible data-driven tooling for historical linguistics. Colleagues note his rare combination of philological insight and production-oriented data skills that accelerate research on fragmentary ancient texts.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Digital Humanities, Doctor of Philosophy - PhD, Digital Humanities at Vrije Universiteit Amsterdam (VU Amsterdam)CSWMaster of Arts (MA), Theology, Master of Arts (MA), Theology at Radboud Universiteit NijmegenNanodegree Deep Reinforcement Learning, Nanodegree Deep Reinforcement Learning at Udacity
Github Skills (12)
hebrew10
morphology9
quantitative8
clause8
nlp6
fabric5
minecraft5
dataset-generation4
linguistics4
annotations3
textual1
notebook1
Programming languages (2)
Github contributions (5)
MartijnNaaijer/hebrew_spelling_variation
Jan 2023 - Dec 2024
Contributions:153 pushes, 2 branches in 1 year 11 months
DT-UCPH/cuc
Nov 2023 - Feb 2025
Contains a text fabric dataset of the Ugaritic corpus.
Contributions:2 releases, 13 reviews, 20 PRs in 1 year 3 months
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