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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.
The successful candidate will join the Computational Earth Sciences group to contribute to the activities of the HPC for Earth Sciences team, which is responsible for the good scalability and efficient hardware resource usage of Earth models and applications by identifying computational bottlenecks and optimizing them using cutting-edge performance tools and HPC techniques, including from more efficient numerical algorithms to architecture-aware approaches.
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. It has strong links with the other teams in the Computational Earth Sciences group and with the research groups in the department.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
"La financiación de estas actuaciones/becas y contratos, procede del Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, en el marco de la Invitación General de la entidad pública empresarial Red.es para participar en los programas de atracción y retención del talento dentro de la Inversión 4 del Componente 19 del Plan de Recuperación, Transformación y Resiliencia.
Para más información: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s "
- Contribute to the execution and completion of ongoing and new engineering and research projects related to HPC performance.
- Contribute to the development of the department's HPC tools, thereby increasing the applicability and international visibility - and hence impact - of the research arising from current and future projects.
- Contribute to the research activities of the team by working in the publication and dissemination of the team's research activities.
- Identify and pursue opportunities for the sustainability of the team and the department's models and tools.
- Education
- Possess a bachelor's or master's degree in computer science, physical engineering, mathematics, physics, or a closely related field. A PhD in a related field is not essential but will be appreciated.
- Essential Knowledge and Professional Experience
- Experience in Earth science research or applied work, with a focus on HPC performance analysis and development.
- Excellent communication and interpersonal skills to work effectively within interdisciplinary teams and with external stakeholders.
- Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Proven ability to work in large and collaborative projects, including supervision of PhD or Masters students.
- Proficiency in high-level programming languages such as FORTRAN and C/C++, with experience in UNIX/Linux environments and scripting languages such as bash and Python.
- Proven experience in scientific research, particularly in areas related to climate or ocean modelling.
- Familiarity with large HPC systems, including parallel programming paradigms such as MPI, OpenMP, etc.
- Familiarity in compiling and deploying large codes from source on different HPC systems.
- Familiarity with profiling tools such as Intel VTune.
- Competences
- Ability to work in a team and in a multi-cultural environment.
- Proven leadership skills, including the ability to inspire and motivate team members, foster a collaborative and inclusive working environment, and resolve conflict effectively.
- Ability to interact and build strong relationships with colleagues across scientific disciplines, fostering a collaborative research environment.
- Strong organisational skills, including the ability to prioritise tasks, manage resources efficiently and meet deadlines.
- Strategic thinking and problem solving skills, with the ability to anticipate challenges and develop innovative solutions.
- Proficiency in English, both written and oral. Experience in writing technical reports and/or scientific publications will be appreciated.
- 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, 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: 23 paid vacation days plus 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 asap
- 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.
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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