Job Reference
619_24_ES_CVC_R2
Position
Researcher - Integrate the global carbon cycle into the digital twins of the Earth through AI-based solutions (R2) - AI4S
Data de tancament
Dimarts, 01 Octubre, 2024
Reference: 619_24_ES_CVC_R2
Job title: Researcher - Integrate the global carbon cycle into the digital twins of the Earth through AI-based solutions (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.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
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.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
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
This position is hosted by the Climate Variability and Change (CVC) Group within BSC's Earth Science Department. The CVC Group undertakes fundamental research to (1) understand climate variability and change, including for climate extremes, (2) investigate global biogeochemical dynamics, effectiveness and impacts of carbon removal technologies to mitigate climate change, (3) developing new Earth System modeling capabilities, and (4) improving our ability to forecast the climate variations from one month to multiple decades into the future, both at global and regional scales.
The successful applicant will be responsible for designing and overseeing the development of AI- and ML-based solutions for the integration of Earth System processes into the next generation of very-high resolution Earth System Models and digital twins of the Earth. Particular focus will be given to a full representation of the global carbon cycle, with a priority to components that are traditionally more costly from a computational point of view (e.g. ocean biogeochemistry). The objective of AI- and ML-based solutions is on one hand to reduce computational cost, making them affordable at very-high spatial resolution, and on the other hand, to improve their skill at reproducing observed variables. Consequently, the successful candidate will have interest and experience in building emulators of existing models and new emulators trained on available observations. The applicant will work closely with scientists within the Climate Variability and Change group and the Computational Earth Science group of the Earth Sciences Department. This post will offer the opportunity to work in a multidisciplinary environment that will place the successful applicant in the ideal position to deliver cutting-edge science in a rapidly expanding field that seeks to apply AI and ML techniques to Earth System Science.
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
The successful applicant will be responsible for designing and overseeing the development of AI- and ML-based solutions for the integration of Earth System processes into the next generation of very-high resolution Earth System Models and digital twins of the Earth. Particular focus will be given to a full representation of the global carbon cycle, with a priority to components that are traditionally more costly from a computational point of view (e.g. ocean biogeochemistry). The objective of AI- and ML-based solutions is on one hand to reduce computational cost, making them affordable at very-high spatial resolution, and on the other hand, to improve their skill at reproducing observed variables. Consequently, the successful candidate will have interest and experience in building emulators of existing models and new emulators trained on available observations. The applicant will work closely with scientists within the Climate Variability and Change group and the Computational Earth Science group of the Earth Sciences Department. This post will offer the opportunity to work in a multidisciplinary environment that will place the successful applicant in the ideal position to deliver cutting-edge science in a rapidly expanding field that seeks to apply AI and ML techniques to Earth System Science.
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
- Lead the design and development of AI-based solutions that allow the representation of Earth system processes in the next generation of very-high resolution Earth System Models and digital twins of the Earth.
- Lead the implementation of innovative solutions to accelerate equilibration time of Earth system Models
- Establishing a framework and best practices in the development of AI-based emulators for Earth System processes
Requirements
- Education
- A PhD in Earth sciences, physics, atmospheric physics, fluid dynamics, meteorology, oceanography, mathematics or a related discipline
- Essential Knowledge and Professional Experience
- Good knowledge of climate dynamics and Earth System processes.
- Programming skills: high level (e.g. R, Python), low level (e.g. Fortran, C++) languages and/or data analysis and visualization software.
- Good knowledge and experience in designing ML-based solutions in a climate-related context.
- Experience in working with coupled Earth System Models, in particular, experience with ocean biogeochemical models is highly valued.
- Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Proven ability to independently manage and coordinate software development projects
- Strong communication and interpersonal skills to facilitate collaboration within a multidisciplinary team.
- Preparation of research and computing proposals
- Competences
- Ability to work in a team and in a multi-cultural environment.
- Ability to interact with physical and computer scientists to conduct collaborative research
- Excellent writing skills both for scientific journals and research applications
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
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
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