Junior Data-Driven AI Researcher — Hybrid Work

Saxion University of Applied Sciences

Apeldoorn

On-site

EUR 39,000 - 51,000

Full time

34 hours ago
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Benefits offered by this job

Salary scale min €3,477 / max €4,595 (
8% holiday allowance
8.3% year-end bonus
Temporary contract with extension
Hybrid Working Package
Retirement plan
Travel allowance (public transport)

Job summary

Turn complex data into actionable intelligence as a Junior researcher at Saxion University of Applied Sciences, contributing to the design, implementation, and evaluation of quantitative models and working prototypes for the safety and security domain.

You will join a multidisciplinary team, analysing data from diverse sources, designing and validating statistical and ML models, and integrating them into larger software systems.

Qualifications

  • Bachelor degree in a quantitative field (statistics, data science, computer science, applied mathematics)
  • Strong statistical and quantitative analysis skills with a theoretical grounding
  • Interest or experience in quantitative modelling and machine learning
  • Proficiency in Python programming and collaboration with software developers

Responsibilities

  • Design, implement, and evaluate data-driven models and AI prototypes for investigations
  • Collaborate with researchers, software developers and external partners
  • Document work and contribute to technical and academic outputs and educational activities

Skills

Statistical analysis
Quantitative analysis
Python programming
Machine learning interest/experience

Education

Bachelor's degree in quantitative discipline

Job description

Turn complex data into actionable intelligence as a Junior researcher at Saxion University of Applied Sciences, contributing to the design, implementation, and evaluation of quantitative models and working prototypes for the safety and security domain.

You will join a multidisciplinary team, analysing data from diverse sources, designing and validating statistical and ML models, and integrating them into larger software systems.

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