Climate Scientist In Climate Projections (R2)
Closing Date: Thursday, 16 October Reference: 618_25_ES_ESS_R2 Job Title: Climate scientist in climate projections (R2)
The Barcelona Supercomputing Center (BSC-CNS) is Spain’s leading supercomputing centre, hosting the MareNostrum supercomputer and participating in PRACE and EuroHPC. BSC’s mission is to research, develop and manage information technologies to facilitate scientific progress, combining HPC service provision with R&D in computational science across life, earth and engineering sciences.
Context And Mission
We are seeking a highly motivated researcher for a postdoctoral position in climate projections. The selected candidate will work with state‑of‑the‑art regional and global climate projections to assess climate trends for different variables in the Mediterranean region, collaborating with an international group of leading climate scientists across Europe. The role will involve participation in EU and applied research projects and the delivery of cutting‑edge climate science through climate services.
Key Duties
* Organise the group’s monthly forecast outlooks, coordinating contributions and structuring the content.
* Review, organise and document code to ensure clarity, maintainability and ease of reuse by other team members.
* Perform statistical data analyses and disseminate the results in peer‑reviewed scientific papers and international conferences.
* Collaborate with scientists in the group and the department to foster synergies.
Requirements Education
* Having a PhD in Physics, Environmental Sciences, Mathematics (or equivalent).
Essential Knowledge and Professional Experience
* Experience handling, analysing and validating large climate model datasets.
* Experience with climatic statistical analyses.
* Proficiency in scientific programming in a suitable language (e.G. R, Python, MATLAB) and familiarity with working in a UNIX environment.
* Excellent written and verbal communication skills in English, especially for scientific publications.
* Ability to work in a professional environment within a multidisciplinary and international team.
Additional Knowledge and Professional Experience
* Experience working with climate projections.
* Knowledge of statistical downscaling, multi‑model combination techniques, bias adjustments or tropical/extratropical teleconnections (positive evaluation).
* Problem‑solving, proactive, result‑oriented work attitude.
* Capability to work in an international and fast‑paced work environment.
* Good communication skills.
Conditions
The position will be located at BSC within the Earth Sciences Department.
Offer: Full‑time contract (37.5 h/week), highly stimulating environment with state‑of‑the‑art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support for relocation procedures. Salary: competitive, commensurate with qualifications and experience, according to the cost of living in Barcelona.
Start Date: ASAP. Duration: Open‑ended contract due to technical and scientific activities linked to the project and budget duration. Holidays: 23 paid vacation days plus 24th and 31st of December per the collective agreement.
Application 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 the area and topics under consideration.
* Two references for further contacts.
Applications without this document will not be considered.
The recruitment process follows the competitive examination system (“Concurso‑Oposición”) and consists of two phases: Curriculum analysis (40 points) and interview phase (60 points). A minimum of 30 points out of 60 is required for eligibility.
Equal Opportunity Statement
BSC‑CNS is an equal opportunity employer committed to diversity and inclusion. We promote an environment where every individual is appreciated for who they are, regardless of race, colour, religion, sex, sexual orientation, gender identity, nationality, age, disability or any other protected characteristic. We aim to avoid perpetuating biases and oversights in science and IT research, especially concerning women and under‑represented groups.
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