Junior researcher Data-driven intelligence and AI

Werken Bij Hogescholen; Enschede, Deventer, Apeldoorn; Teletrabalho; EUR 39 000 - 51 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Salary scale 8 (min 3,477 EUR / max 4,

Resumo da oferta

Werken Bij Hogescholen in Enschede is seeking a Junior researcher to advance data-driven intelligence and AI projects. You will support design, implementation and validation of statistical and machine learning models and translate them into prototypes for safety and security applications.

You will work with researchers, software developers and external partners, documenting progress and contributing to software integration and academic outputs.

Qualificações

• Bachelor degree in a quantitative discipline is required.
• Strong statistical and quantitative analysis skills beyond tool-use.
• Interest or experience in quantitative modelling and machine learning.
• Proficiency in data science programming (Python) and collaboration with developers.
• Research-oriented mindset with critical and analytical thinking.

Responsabilidades

• Conduct applied research on data-driven intelligence and AI.
• Analyse and integrate data from multiple sources and design models.
• Validate statistical and ML models and develop prototypes.
• Document work and contribute to technical and academic outputs and education.

Conhecimentos

Statistical analysis

Quantitative modelling

Machine learning

Python programming

Research mindset

Formação académica

Bachelor in statistics / data science / computer science / applied mathematics

Ferramentas

Python

Descrição da oferta de emprego

Junior researcher Data-driven intelligence and AI

Turn complex data into actionable intelligence. As a junior researcher you support the design, implementation and evaluation of quantitative models and you translate them into working prototypes for the safety and security domain. You work together with researchers, software developers and practice partners. Would you like to use data and AI and contribute to innovative solutions for criminal investigations?

This is what you do as Junior researcher Data-driven intelligence and AI

In this role, you will conduct applied research on data-driven intelligence and AI. Working under – and together with - experienced researchers, you will analyse and integrate data from a variety of sources, support the design, implementation, and validation of statistical and machine learning models, and contribute to data analysis, model testing, and prototype development. Throughout the role, you will critically assess methods, assumptions, and results while gradually building your expertise and research capabilities. You will support integration of the models into larger software systems and collaborate closely with developers, researchers, and external partners. Systematically documenting your work and contributing to technical and academic outputs and educational activities.

You will join an enthusiastic, multidisciplinary team of colleagues from various fields. Working from Enschede, Deventer, and Apeldoorn, we collaborate on innovative technology for law enforcement investigations. The atmosphere is collegial, committed, and informal.

(*) As you will be working in a security-sensitive environment and with sensitive data, you will be required to undergo a mandatory security screening.

This is where you will work

At Saxion we explore future developments, look beyond our borders and disciplines and drive innovation. By doing this together we contribute to a smarter, safer and more sustainable world. We question how significant technological innovations are and how they can contribute to humanity, society and our planet. We teach our students to look at social issues from a broad perspective and to come up with practical solutions.

School of Life Science, Engineering and Design As Junior researcher Data-driven intelligence and AI at Saxion, you will be part of the Data-driven Investigations team, which conducts research within the Technologies for Criminal Investigations (TCI) research group.. This team is part of the School of Life Science, Engineering and Design (LED). LED offers an inspiring and effective learning, work and research environment, focused on applied technologies and recent national and international developments.

Saxion’s employment terms and conditions

Working at Saxion means working on inspiring, future-oriented education and research. You will fulfil an exciting position, working independently in a dynamic, socially relevant organisation that matters. The position provides you with plenty of opportunities to take initiative and develop.

We also offer the following:

• The following salary scale: scale 8: min € 3,477 / max € 4,595 (cao-hbo) working on a full-time basis.
• 8% holiday allowance and 8.3% year-end bonus.
• You will receive a temporary contract, with the possibility of extension.
• A generous leave policy. For example: if you work full-time and have opted for a 40-hour week you can take 428 hours of leave annually. This means you will have 53.5 holiday leave days, including statutory holiday days and public holidays.
• Personal development: follow an inspirational webinar, workshop or training course at our internal Saxion Academy, do a career check or explore the possibilities of taking a master’s degree or PhD programme or professional doctorate.
• A comprehensive retirement plan. See the cao-hbo for more information.
• 100% allowance for travel by public transport and tax benefits on the purchase of a bicycle.

Would you like to find out more about our terms of employment?

Job requirements

We seek a professional who fits the job profile below. Does this sound like you? Then this job is ideal for you!

• A completed Bachelor degree in a quantitative discipline such as statistics, data science, computer science, applied mathematics, or a related field.
• Strong statistical and quantitative analysis skills, with a theoretical understanding of the techniques used rather than tool-based application alone.
• Demonstrable interest or experience in quantitative modelling and machine learning.
• Good skill level in programming for data science (Python), and the ability to collaborate with software developers.
• A research-oriented mindset, with demonstrable critical and analytical thinking, and interest in the safety and security application domain.

If you have any questions about this position, then please contact Tatjana Kuznecova, (Researcher) [phone]. Saxion strives to be a diverse and inclusive organisation. VOG - may be part of the application process.

Application procedure

• Applications can be submitted until11th of November, 2026.
• The first job interview is on 18th of November, 2026between 9.00-12.30.
• The second job interview (optional).
• Finally, we schedule the employment conditions on a later time.

Please note that this vacancy is open to both internal and external candidates. In the event of candidates with equal merit, internal candidates will be given priority.

We prefer to fill our vacancies ourselves, so unsolicited approaches are not welcome.