Postdoctoral Researcher in Artificial Intelligence

hace 4 meses


Barcelona, España Barcelona Supercomputing Center (BSC) A tiempo completo

**Job Reference**:

- 632_24_ES_CS_R2**Position**:

- Postdoctoral Researcher in Artificial Intelligence Applied to Climate Services (R2) - AI4S**Closing Date**:

- Monday, 30 September, 2024**Reference**: 632_24_ES_CS_R2**Job title**: Postdoctoral Researcher in Artificial Intelligence Applied to Climate Services (R2) - AI4S**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 1000 staff from 60 countries.

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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 role of the postdoc in Artificial Intelligence applied to Climate Services takes place in a rapidly evolving field where the integration of AI and machine learning is transforming how climate data is processed, analyzed, and applied. This position is situated within a research group focused on developing cutting-edge methods for climate model calibration, validation, and predictive skill enhancement. The postdoc will contribute to the ongoing efforts to improve climate services by utilizing explainable AI techniques and integrating them into the BSC (Barcelona Supercomputing Center) ecosystem, which supports environmental and climate research.

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.**Key Duties**
- Identify windows of opportunity for increased predictive skill using Machine Learning.
- Support the development, testing, streamlining, and documentation of new code within the BSC software ecosystem for model validation, calibration, and forecast verification.

**Requirements**:

- Education
- PhD in Climate Sciences, Environmental Sciences, Physics, Mathematics, or related fields.
- Essential Knowledge and Professional Experience
- Proficiency in object-oriented programming, preferably in R or Python.
- Familiarity with calibration methods (local and non-local) and forecast verification.
- Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Experience in High-Performance Computing (HPC) environments (preferred, but not required).
- Knowledge of predictive skill evaluation techniques in climate models.
- Competences
- Ability to work in a team and in a multi-cultural environment.
- Ability to explain and interpret Machine Learning models in the context of climate services.
- Skills in developing, testing, and documenting code within a collaborative software ecosystem.
- Strong communication skills for collaboration with multidisciplinary teams.

**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: 45.00,00€
- 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**
- 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 consis



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