Universidad Politécnica de Madrid
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Postdoctoral Researcher in Civil Engineering Data Science and Machine Learning at Universidad Politécnica de Madrid Universidad Politécnica de Madrid in Spain
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is linked to Horizon Europe funding under grant agreement No. 101103801. The post is full-time and permanent; no stipend or salary amount is stated.
Deadline
Sep 18, 2026
Country
Spain
University
Universidad Politécnica de Madrid

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About this position
Universidad Politécnica de Madrid is advertising a postdoctoral researcher position in Civil Engineering with a strong focus on data science, machine learning, artificial intelligence, and quantitative analysis. The project topic is Latent Class Analysis for the behavior analysis of Allianz Arena users and includes drafting a scientific article.
The role is based in Madrid, Spain, at the ETSI Caminos, Canales y Puertos. Centro de Investigación del Transporte. It is a full-time and permanent position, and the project is funded through Horizon Europe (grant agreement No. 101103801).
Applicants should hold a PhD or equivalent in an engineering-related field and have experience in data management and optimization, machine learning, AI, programming, databases, and quantitative analysis tools. Strong skills in Python, R, SQL or similar languages are requested, along with experience in data pipelines, APIs, and server environments. Prior research-project or technical data experience is valued. Excellent Spanish and English are required, with English at about C1 level recommended.
To apply, email [email protected]. The posting also links to the EURAXESS job page and the UPM selection regulations page for further details.
Funding details
The position is linked to Horizon Europe funding under grant agreement No. 101103801. The post is full-time and permanent; no stipend or salary amount is stated.
What's required
PhD or equivalent in an engineering-related field. Experience in data science, data management and optimization, machine learning and AI, data analysis and processing, programming, analytical model development, databases, and quantitative analysis tools is required. Ability to work with large datasets and computational environments is expected. Proficiency in Python, R, SQL or similar languages, experience with data pipelines, APIs, and server environments are required. Previous research project or technical data application experience is highly valued. Excellent Spanish and English are required, with fluent written and spoken English recommended at C1 level.
How to apply
Apply by email to [email protected]. The posting also points to the EURAXESS application page for more details.
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