Geospatial QA Engineer: Transforming Geo Data

Sport Society

Utrecht

On-site

EUR 37,743 - 50,041

Full time

14 days+

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Benefits offered by this job

8% holiday pay
8.3% year-end bonus
Pension scheme

Job summary

Utrecht University in the Netherlands seeks a Scientific Engineer for the GeoTrAnsQData project to design and implement workflows turning geodata into answer maps. You will work with PhD candidates and a postdoc on data, implementation, and infrastructure, with a focus on open science and data management.

The role emphasizes collaboration in an interdisciplinary, international team, and involves contributing to data curation, workflow modelling, and evaluation, with a strong programming

Qualifications

  • Master’s degree or expected by Sep 2026 in a relevant field (CS, GIScience, AI, etc.).
  • Interest in geodata infrastructures, GeoAI, workflows, and agent-user interaction.
  • Strong programming and software development skills.
  • Good command of English; Dutch not required.
  • Experience with data curation, knowledge graphs, data management, and open science is an advantage.

Responsibilities

  • Contribute to data curation, dataset preparation, and semantic annotation with PhD candidates.
  • Develop data analysis scripts and design GIS workflows for transforming data into answers.
  • Assist in deploying Q&A infrastructure and conducting user studies; ensure data anonymisation.

Skills

Programming
Software development
English fluency
Interdisciplinary collaboration
Data curation
GeoAI / NLP / HPC / LLMs
Formal languages & semantic modelling
GIS workflows
Knowledge graphs
Open science practices

Education

Master's degree in Computer Science / GIScience / Geoinformatics / AI

Tools

GIS software

Job description

Utrecht University in the Netherlands seeks a Scientific Engineer for the GeoTrAnsQData project to design and implement workflows turning geodata into answer maps. You will work with PhD candidates and a postdoc on data, implementation, and infrastructure, with a focus on open science and data management.

The role emphasizes collaboration in an interdisciplinary, international team, and involves contributing to data curation, workflow modelling, and evaluation, with a strong programming

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