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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer - geolocalized data analyst - **Company:** Barcelona Supercomputing Center - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Code Generation, Decision-Making Software, Python (Programming Language), Machine Learning, Quantum GIS (QGIS), Spatial Data Infrastructures, High Performance Computing, Large Language Models, Generative AI, Agentic-AI, Information Technology, Programming Languages - **Published:** November 6, 2026 - **Apply:** https://www.adzuna.es/details/5954163169 ## About the Role * Education * Degree in Data Science, Applied Mathematics, or Computer Science * PhD will be highly valuable * Essential Knowledge and Professional Experience * Experience in gathering datasets from spatial data portals * Knowledge and professional experience in Geographical Information Systems (GIS), and GIS software (QGIS) * Experience with agentic coding systems * Additional Knowledge and Professional Experience * Knowledge with programming languages such as Python, R * GIS python packages like ArcPy, PyQGIS * Training and use of LLMs and other generative AI models * Experience training and deploying AI models in HPC environments * Good level in English, both written and spoken * Competences * Good written and verbal communication skills * Ability to work both independently and within a team., * A full CV in English including contact details * A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered. ## Description The Barcelona Supercomputing Center's Creative Intelligence Lab is looking for a research engineer or postdoctoral researcher with experience in spatial data analysis and AI models. The candidate will work within the framework of the AI Factories project, helping industry develop AI models for analysing and diplaying geo-located data, geared towards producing better decision making tools and advance solutions on climate resilience, mobility, urban interventions, and more. The candidate will need experience preparing and analysing geolocated data from multiple heterogeneous sources, and creating and using AI models that use these data to answer questions posed by the researchers as well as administration officials and other collaborators. The candidate will be embedded in the Computational Applications in Science and Engineering department (CASE); which works with industry and academia developing software and applications that leverage the power of High-Performance Computing to solve real problems of people. Key Duties * Training and fine-tuning AI models (LLMs, image and code generation) * Spatial data analysis * Assistance in preparing data for training * Assistance in training models * Collaborate with internal and external researchers of the project, Development of the recruitment process The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases: * Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - \40 points * Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - \60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position. The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women. In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process. The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile. At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact [recruitment@bsc.es](#). For more information, please follow [this link](#).