Job Reference
562_24_ES_CES_RE3
Position
Senior HPC for Earth Sciences Team Leader (RE3) - AI4S
Closing Date
Friday, 23 August, 2024
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. 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 under one roof, and currently has over 1000 staff from 60 countries.
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 mission of the Earth Sciences Department of BSC is to carry out research and develop methods for environmental forecasting, with a focus on the atmosphere-ocean-biosphere system. The successful candidate will join the Computational Earth Sciences group to co-lead the activities of the HPC for Earth Sciences team, responsible for optimizing Earth models and applications using cutting-edge performance tools and HPC techniques.
The HPC for Earth Sciences team plays a crucial role in the research to operations cycle, including initiatives such as Destination Earth and the European Digital Twin of the Ocean.
Key Duties
Contribute to the coordination and supervision of a team of 15 research engineers and scientists.
Lead the planning, execution and completion of ongoing and new engineering and research projects.
Identify and pursue opportunities for the sustainability of the team and the department's models and tools.
Contribute to the development strategy of the department's tools.
Assist in the publication and dissemination of the team's research activities.
Lead the HPC for Earth Sciences team and supervise team members.
Requirements
Education
Possess a bachelor's or master's degree in computer science, physical engineering, mathematics, physics, or a closely related field.
Essential Knowledge and Professional Experience
Experience in Earth science research or applied work, with a focus on HPC performance analysis and development.
Experience in leading or managing a team.
Excellent communication and interpersonal skills.
Additional Knowledge and Professional Experience
Fluency in English is essential.
Proficiency in high-level programming languages such as FORTRAN and C/C++, and experience in UNIX/Linux environments.
Familiarity with large HPC systems and profiling tools.
Competences
Ability to work in a team and in a multi-cultural environment.
Proven leadership skills.
Strong organisational skills.
Strategic thinking and problem-solving skills.
Conditions
Full-time contract (37.5h/week), flexible working hours, private health insurance.
Duration: 4 years, with 23 paid vacation days.
Salary: 50.000 €.
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.
Development of the recruitment process
The selection will be carried out through a competitive examination system. The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of previous experience and/or scientific history.
Interview phase: Evaluation of technical competencies and personal competencies.
The recruitment panel will ensure gender balance and will provide feedback to all interview participants.
Deadline
The vacancy will remain open until a suitable candidate has been hired.
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).
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