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Nico Van Dijk Email & Phone Number

Head of AI Development at Slimstock
Location: Zutphen, Gelderland, Netherlands 9 work roles 3 schools
1 work email found @slimstock.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Current company
Role
Head of AI Development
Location
Zutphen, Gelderland, Netherlands
Company size

Who is Nico Van Dijk? Overview

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Quick answer

Nico Van Dijk is listed as Head of AI Development at Slimstock, a with 576 employees, based in Zutphen, Gelderland, Netherlands. AeroLeads shows a work email signal at slimstock.com and a matched LinkedIn profile for Nico Van Dijk.

Nico Van Dijk previously worked as Lead Research Data Scientist at Slimstock and Research Data Scientist at Slimstock. Nico Van Dijk holds Phd, Structural Optimization, Level-Set Method from Delft University Of Technology.

Company email context

Email format at Slimstock

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nvandijk@slimstock.com
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Profile bio

About Nico Van Dijk

Currently, I am leading the growing research department at Slimstock and developing and extending our inventory and supply-chain management services using data science and machine learning. Previously, I have been developing a variety of business solutions as a data scientist. My experiences before that include research and development of original methods and algorithms in the field of computational mechanics and optimization and academic teaching.

Listed skills include Simulations, Numerical Analysis, Engineering, Latex, and 15 others.

Current workplace

Nico Van Dijk's current company

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Slimstock
Slimstock
Head of AI Development
Zutphen, GE, NL
Website
Employees
576
AeroLeads page
9 roles · 24 years

Nico Van Dijk work experience

A career timeline built from the work history available for this profile.

Head Of Ai Development

Zutphen, Ge, Nl

Lead Research Data Scientist

Current

Deventer, The Netherlands

Since 2020, I have led a research/development team working on introducing/expanding Machine Learning within our software, Slim4. We have developed ML applications like Transaction Outlier Detection, Promotion Forecastin and New Product Introductions - going from prototype to pilot and to full production - and are now working on our latest application that uses ChatGPT. In doing so, we are a major contributing factor to the success of Slim4 and Slimstock.The most important highlight is our ML library in Slim4:- Mature ML components (feature and model selection, time-based cross-validation, hyperparameter tuning, data/model/prediction monitoring, backwards-compatible model storage);- Easy to setup and use by our users/consultants (sensible defaults);- Flexible and configurable data (direct and engineered features from client-specific data - a range of predefined features and the ability to define custom direct/engineered features);- Safeguards/humble AI (analyzing data size and quality, monitoring model accuracy and data drift, flagging predictions with potential issues);- Integration with Slim4 (scheduling ML tasks, using predictions automatically depending on configuration).I am proud of achieving the above with our small team and the, sometimes difficult, boundary conditions coming from the organization. This includes following the existing development process that, I think, is less suited for the development of our library and making it work in Java instead of more conventional languages for ML. Additionally, we are a continuous driving force for improvements of our software (in non-ML areas), the development process itself (version control, testing, tooling) and even the software architecture (scalability, microservices). At the moment, we are adding python to our production tech stack for offering services with Large Language Models like ChatGPT.

Feb 2020 - Present

Research Data Scientist

Deventer, The Netherlands

In this role, I developed a fully functional analysis prototype for considering alternative suppliers within our software, Slim4. Additionally, I made preparations for demoing possibilities for developing ML within that same software package leading to my next role.

Sep 2019 - Jan 2020

Data Scientist

Data Analytics - An Ortec Finance Company

Amsterdam Area, Netherlands

I have worked on different projects involving machine learning and data science, often implementing the majority of the functionality. These projects included: predictive analyses, predictive maintenance, customer segmentation, text mining, cognitive chatbots and other applications of natural language processing.

Sep 2018 - Aug 2019

Lecturer

Uppsala, Sweden

As a lecturer at the Construction Engineering Department of Uppsala University I divided my time between teaching (such as the BSc courses Hydraulics and Structural Design) and research activities. My research subjects included: - Estimating deformation in 3D X-ray images of human bone by programming our own digital volume correlation code.- Simulating fracture of composite materials using a phase field approach.

2016 - Jul 2018

Post-Doctoral Researcher/Researcher

Uppsala, Sweden

I have been researching the mechanical behavior of the more than 350 year-old warship "Vasa" in Stockholm. I have developed a multiscale homogenization procedure to predict the elastic and creep properties of the archaeological wood material, analyzed the nonlinear buckling behavior of the original foremast of the Vasa and implemented a viscoelastic material model for orthotropic materials.

2012 - 2017 ~5 yrs

Phd-Student

Delft Area, Netherlands

I have worked on structural optimization and topology optimization in particular. I have programmed, investigated and improved both so-called density-based and level-set based topology optimization methods. I have focused on consistent sensitivity analysis, the effect of regularization on the optimization process and the treatment of geometrical nonlinearities.

2007 - 2012 ~5 yrs

Intern

Development of a new damage mechanics model for laminated glass fracture of windshields due to impact.

2005 - 2007 ~2 yrs

Technical Assistant

Peutz Bv.

Performing sound measurements on industrial sites and office housing and executing analyses of these and other sound measurements.

2003 - 2006 ~3 yrs
Team & coworkers

Colleagues at Slimstock

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3 education records

Nico Van Dijk education

Phd, Structural Optimization, Level-Set Method

Activities and Societies: Participation CounsilPhD thesis on level-set methods for structural topology optimization.

Msc., Aerospace Engineering

Member of the research group Engineering Mechanics, chaired by prof.dr.ir. R. de Borst. He also supervised my graduate project.

Education record

Gymnasium Bernrode, Heeswijk

High school diploma

FAQ

Frequently asked questions about Nico Van Dijk

Quick answers generated from the profile data available on this page.

What company does Nico Van Dijk work for?

Nico Van Dijk works for Slimstock.

What is Nico Van Dijk's role at Slimstock?

Nico Van Dijk is listed as Head of AI Development at Slimstock.

What is Nico Van Dijk's email address?

AeroLeads has found 1 work email signal at @slimstock.com for Nico Van Dijk at Slimstock.

Where is Nico Van Dijk based?

Nico Van Dijk is based in Zutphen, Gelderland, Netherlands while working with Slimstock.

What companies has Nico Van Dijk worked for?

Nico Van Dijk has worked for Slimstock, Data Analytics - An Ortec Finance Company, Uppsala University, Tu Delft, and Tno Science And Industry.

Who are Nico Van Dijk's colleagues at Slimstock?

Nico Van Dijk's colleagues at Slimstock include Asrin Deryal, Christiaan Buursink, Sönke Jacobs, Joanna Ziętkiewicz, and Barış Demiray.

How can I contact Nico Van Dijk?

You can use AeroLeads to view verified contact signals for Nico Van Dijk at Slimstock, including work email, phone, and LinkedIn data when available.

What schools did Nico Van Dijk attend?

Nico Van Dijk holds Phd, Structural Optimization, Level-Set Method from Delft University Of Technology.

What skills is Nico Van Dijk known for?

Nico Van Dijk is listed with skills including Simulations, Numerical Analysis, Engineering, Latex, Matlab, Science, Modeling, and Optimizations.

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