(R-127) | Research Engineer - Ai-Driven Development Of

Detalles de la oferta

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
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, and is a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe). 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.
Context And Mission: 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.
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.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: 50,000.00€.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:
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: The recruitment panel will be composed of at least three people, ensuring at least 25% representation.
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Salario Nominal: A convenir

Fuente: Jobleads

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