Spain Job Openings

Barcelona Supercomputing Center (BSC)

Research Engineer - AI-Driven Development of ML-Based Climate Forecast Models (RE3) - AI4S

Barcelona

FULL TIME

September 13, 2024

Job Reference
635_24_ES_KI_RE3
Position
Research Engineer - AI-Driven Development of ML-Based Climate Forecast Models (RE3) - AI4S
Closing Date
Monday, 30 September, 2024
Reference: 635_24_ES_KI_RE3
Job title: Research Engineer - AI-Driven Development of ML-Based Climate Forecast Models (RE3) - AI4S


About BSC


The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses Mare Nostrum, 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 Euro HPC 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 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.


Context And Mission


The Research Engineer role in AI-Driven Development of ML-Based Climate Forecast Models at AI4S involves applying AI and machine learning techniques to enhance climate forecasting and air quality services. The role focuses on translating complex climate data into understandable narratives and leading cross-functional teams to drive innovation in product development.

The mission is to make climate and air quality data accessible and actionable by creating compelling narratives from complex data. This involves guiding product teams in identifying research opportunities, shaping product development strategies, and using qualitative research methods to design and refine AI-driven products.

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


Key Duties


  • Distill complex data into compelling narratives that empower users to better understand climate and air quality services.
  • Foster innovation by guiding cross-functional product teams in identifying research opportunities and shaping the product roadmap.
  • Lead and participate in qualitative research methods (e.g., interviews, workshops) to design and improve AI and personalization products.


Requirements


  • Education
    • Bachelor’s, Master’s, or Professional degree in Design, Research, or related fields, with 6+ years of relevant experience.
  • Essential Knowledge and Professional Experience
    • Proficiency in qualitative research methods such as in-depth interviews and focus groups.
    • Experience with service design approaches, including co-creation sessions and journey mapping.
  • Additional Knowledge and Professional Experience
    • Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
    • Experience in AI or personalization product research is preferred.
    • Understanding of data storytelling and its application in user empowerment.
  • Competences
    • Ability to work in a team and in a multi-cultural environment.
    • Strong narrative-building skills, able to distill complex data into compelling stories.
    • Ability to foster innovation and improve user understanding of climate and air quality services.


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
  • Duration: 4 years
  • Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
  • Salary: 50.00,00€
  • Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
  • Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024


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, 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.


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
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