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.
The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress.
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.
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 mission is to make climate and air quality data accessible and actionable by creating compelling narratives from complex data.
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, and a highly stimulating environment with state-of-the-art infrastructure.
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 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.
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, degree, training, and other professional information relevant to the position.
Interview phase: The highest-rated candidates will be invited to the interview phase, conducted by the corresponding department and Human Resources.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
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).
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