Research Engineer

Research Engineer - geolocalized data analyst (RE2)Job Reference: 712_25_CASE_DPPP_RE2Closing Date: Sunday, 01 February, 2026About Barcelona Supercomputing CenterThe 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, and hosts the EuroHPC JU joint undertaking. The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress. BSC combines HPC service provision and R&D into computer and computational science (life, earth and engineering sciences) under one roof, and currently employs over 1,000 staff from 60 countries.Look at the BSC ExperienceBSC‑CNS YouTube ChannelWe are particularly interested 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.Context and MissionThe 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 AI Factories project, helping industry develop AI models for analysing and displaying geo‑located data, geared towards producing better decision‑making tools and advanced solutions on climate resilience, mobility, urban interventions, and more.The candidate will need experience preparing and analysing geo‑located data from multiple heterogeneous sources, and creating and using AI models that use these data to answer questions posed by researchers, 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 to develop software and applications that leverage the power of High‑Performance Computing to solve real problems.Key DutiesTraining and fine‑tuning AI models (LLMs, image and code generation)Spatial data analysisAssistance in preparing data for trainingAssistance in training modelsCollaborate with internal and external researchers of the projectRequirementsEducation:Degree in Data Science, Applied Mathematics, or Computer SciencePhD will be highly valuableEssential Knowledge and Professional Experience:Experience in gathering datasets from spatial data portalsKnowledge and professional experience in GIS, and GIS software (QGIS)Training and use of LLMs and other generative AI modelsAdditional Knowledge and Professional Experience:Knowledge of programming languages such as Python, RGIS Python packages like ArcPy, PyQGISExperience with GIS software ArcGISExperience training and deploying AI models in HPC environmentsGood level in English, both written and spokenCompetences:Good written and verbal communication skillsAbility to work both independently and within a team.ConditionsThe position will be located at BSC within the CASE Department.We offer a full‑time contract (37.5 h/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 processAll 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.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 pointsInterview 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 DeadlineThe 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 processesBSC‑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.Seniority levelEntry levelEmployment typeContractJob functionEngineering and Information TechnologyIndustriesResearch Services#J-18808-Ljbffr