**Job Reference**:
- 763_24_ES_HPC_RE2**Position**:
**Closing Date**:
- Thursday, 28 November, 2024**Reference**: 763_24_ES_HPC_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 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 Mission**
This team, composed of 17 members but steadily growing, performs R&D; tasks in the field of Earth system modelling (ESM) performance: its goal is to identify model bottlenecks and research how to remove them. The team has at its disposal cutting-edge performance tools, able to evaluate and represent different performance metrics. Having identified those areas in the code, the experts in the team proceed to modify them without impacting the final results. Possible solutions can go from using more efficient numerical algorithms to modifying the way the model exploits the HPC infrastructure.**Key Duties**
- This position involves close interaction with the Climate Variability and Change (CVC) group and external collaborators/software vendors.
**Requirements**:
- Education
- Having a Bachelor in Computer Science, Engineering, Mathematics, Physics or related discipline
- Having a Master’s degree will be valued
- Essential Knowledge and Professional Experience
- Excellent computing skills in high-level computer languages (especially Fortran or C/C++) and experience with Unix/Linux environments and scripting languages (Bash, Python, etc)
- Programming skills to manage big and collaborative projects and experience with git and/or SVN
- Knowledge of HPC performance and profiling tools as Intel Vtune
- Experience or knowledge in running and optimizing scientific codes on large HPC systems.
- Experience or knowledge in the usage and support of Unix
- or Linux-based HPC systems
- Competences
- Excellent problem-solving skills
- Proactive attitude
- Learning capacity and motivation to maintain a learning progression
- Good written and verbal skills and capacity to support Earth and Computational scientists
- Fluency in English
**Conditions**
- The position will be located at BSC within the Earth Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, adaptable 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: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Starting date: ASAP
**Applications procedure and process**
- A full CV in English including contact details
- A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
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**Deadline**OTM-R principles for selection processes**
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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