Research Engineer - geolocalized data analyst (RE2)

Job Reference
712_25_CASE_DPPP_RE2
Position
Research Engineer - geolocalized data analyst (RE2)
Closing Date
Sunday, 01 February, 2026
Reference: 712_25_CASE_DPPP_RE2
Job title: Research Engineer - geolocalized data analyst (RE2)

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.

We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.

Context And Mission

The Barcelona Supercomputing Center's Data Analytics and Visualization Group team 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

Requirements

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)
Training and use of LLMs and other generative AI models
Additional Knowledge and Professional Experience
Knowledge with programming languages such as Python, R
GIS python packages like ArcPy, PyQGIS
Experience with GIS software ArcGIS
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.

Conditions

The position will be located at BSC within the CASE Department
We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Starting date: As soon as possible

Applications procedure and process

All applications must be submitted via the BSC website and contain:

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.

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 [at] bsc [dot] es.
For more information, please follow this link.

Deadline

The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

OTM-R principles for selection processes

BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
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