Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 15 Feb 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 26 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Data analysis to estimate the mobility and social equity impacts of transport decarbonization policies. Support in data collection, cleaning and structuring, development and implementation of AI and mahine learning models, and assistance in data management, including potential API connections and server support.
Where to apply
E-mail carlos.roldan.hernandez@upm.es
Requirements
Research Field Communication sciences » Other Education Level Bachelor Degree or equivalent
Research Field Engineering » Other Education Level Bachelor Degree or equivalent
Skills/Qualifications
Background in engineering, data science, computer science, mathematics or related fields. Experience in data science, data management and optimization, and machine learning and AI techniques. Strong knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational environments.
Specific Requirements
Interest in applying advanced computational methods to analyze transport and decarbonization policies. Ability to work independently and collaboratively in interdisciplinary research teams. Proficiency in programming languages (Python, R, or similar) and experience with data pipelines, APIs, and server environments. Previous experience in research projects or technical data applications is highly valued. Fluent written and spoken English (C1 recommended).
Languages SPANISH Level Excellent
Languages ENGLISH Level Excellent
Additional Information
Eligibility criteria
Additional comments
The project leading to these results has received funding from “la Caixa” Foundation under the project code SR25-00330.
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