Research Engineer - Python software engineer for atmospheric composition tools (RE1-RE2)

Job Reference

111_24_ES_EDD_RE1/RE2

Position

Research Engineer - Python software engineer for atmospheric composition tools (RE1-RE2)

Fecha de cierre

Viernes, 31 Mayo, 2024
Reference: 111_24_ES_EDD_RE1/RE2
Job title: Research Engineer - Python software engineer for atmospheric composition tools (RE1-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 900 staff from 55 countries.

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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.

Context And Mission

Within the Earth Sciences Department of Barcelona Supercomputing Center (BSC), led by Prof Francisco Doblas-Reyes, the Computational Earth Sciences group is looking for a software engineer to be part of the Models and Workflows Team.

The successful candidate will support the development and optimization of the in-house emission model for supporting air quality modeling research carried out within the Atmospheric Composition group. These activities are part of a large initiative in the framework of the European Recovery, Transformation, and Resilience Plan funded by the European Union-Next Generation EU.

Successful candidates will benefit from expert training and BSC-CNS staff benefits: international multidisciplinary scientific environment and advanced applied research training. We encourage applications from highly motivated candidates with demonstrated experience in climate science and interest in applied research projects within the context of climate services.

Key Duties

  • Contribute to the development and optimization of the in-house emission model in a robust, flexible, and computationally efficient way.
  • Support the operational implementation of the system.
  • Interact with atmospheric composition scientists to understand and respond to their needs.
  • Support other colleagues to include their own solutions into the set of tools developed and maintained by the Earth Sciences Department. The codes will be appropriately documented and updated using GIT tools interacting with scientists in the group and the department to foster synergies.

Requirements

  • Education
    • Bachelor in Computer Science, Physics, Mathematics, or related discipline. Having a Master’s degree will be valued.
  • Essential Knowledge and Professional Experience
    • Strong computing skills in Python language and experience with UNIX/LINUX environments and scripting languages (bash, …)
  • Additional Knowledge and Professional Experience
    • Ability to work in a professional environment and within a multidisciplinary research team
    • Experience with Pandas/GeoPandas
    • Experience in HPC and parallelization paradigms will be valued
    • Experience with GIS data and tools
  • Competences
    • Fluency in English, both written and spoken
    • Critical and creative thinking skills
    • Ability to take initiative, prioritize, and work under set deadlines and pressure
    • Ability to work independently and in a team
    • Excellent written and verbal communication skills
    • Capacity to interact and build strong relations with a diverse members/stakeholder/staff base

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, 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: ASAP

Applications procedure and process

All applications must be made through BSC website and contain:

  • 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

    In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.

    The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.

    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.

    For more information follow this link

  • Deadline

    The 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 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). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
    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.
    For more information follow this link

    Application Form

    please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
    Please, upload your CV document using the following name structure: Name_Surname_CV
    Los archivos deben ser menores que 3 MB.
    Tipos de archivo permitidos: txt rtf pdf doc docx.
    Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
    Los archivos deben ser menores que 3 MB.
    Tipos de archivo permitidos: txt rtf pdf doc docx zip.
    Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
    Los archivos deben ser menores que 10 MB.
    Tipos de archivo permitidos: txt rtf pdf doc docx rar tar zip.
    ** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.