Job Reference
541_25_ES_FM_RE2
Position
Research Engineer - Machine Learning - Emulators (RE2)
Closing Date
Monday, 08 September, 2025
Reference: 541_25_ES_FM_RE2
Job title: Research Engineer - Machine Learning - Emulators (RE2)
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
We are looking for a computer scientist or a climate scientist with experience in programming to work on projects that involve Machine Learning applied to Earth Sciences.
The person appointed will be involved in different EU and applied research projects, with the aim of (but not limited to) creating large-scale machine learning datasets, data workflows, and machine learning models for different applications in Earth Sciences, including a machine learning-based climate emulator.
This position, therefore, presents the opportunity to work alongside a wide range of leading international machine learning experts and climate scientists delivering cutting-edge climate science across Europe.
Successful candidates will benefit from expert training and BSC-CNS staff benefits: an international multidisciplinary scientific environment and advanced applied research training.
We encourage applications from highly motivated candidates with demonstrated experience in machine learning and climate science and interest in applied research projects within the context of climate prediction.
The person appointed will be involved in different EU and applied research projects, with the aim of (but not limited to) creating large-scale machine learning datasets, data workflows, and machine learning models for different applications in Earth Sciences, including a machine learning-based climate emulator.
This position, therefore, presents the opportunity to work alongside a wide range of leading international machine learning experts and climate scientists delivering cutting-edge climate science across Europe.
Successful candidates will benefit from expert training and BSC-CNS staff benefits: an international multidisciplinary scientific environment and advanced applied research training.
We encourage applications from highly motivated candidates with demonstrated experience in machine learning and climate science and interest in applied research projects within the context of climate prediction.
Key Duties
- Contribute to the creation of data workflows for creating large-scale Machine Learning datasets for Earth Sciences applications
- Design, develop, and evaluate data-driven emulators testing different types of machine learning models
- Interact with scientists in the group and in the department and possibly conduct a broader user study in order to improve usability of the dataset created
- Participate in scientific publications
- Explore the use of foundation models for weather and climate prediction
- Exploring avenues for improving interpretability, plausibility, and physical consistency of the machine learning-based climate emulator predictions
Requirements
- Education
- Having a degree in Telecommunication, Computer Science, Environmental Sciences or equivalent
- Essential Knowledge and Professional Experience
- Master's in computer science, machine learning, data science or related fields
- Experience handling, analyzing and validating large datasets
- Experience in developing and training Machine Learning models
- Proficiency in Python, Machine Learning libraries and familiarity with working in a UNIX environment
- Additional Knowledge and Professional Experience
- Experience working with climate models
- Experience working with climate datasets
- Knowledge on some of the following topics: Seasonal climate prediction, Explainable AI, Generative Neural Networks, large-scale dataset creation
- Competences
- Problem-solving, pro-active, result-oriented work attitude
- Capability to work in an international and fast-paced work
- Good communication skills
- Good written and verbal communication skills in English
- Ability to work in a professional environment within a multidisciplinary and international team
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, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: asap
Applications procedure and process
All applications must be submitted via the BSC website and contain:
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- 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