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0Barcelona Supercomputing Center
Barcelona, ES
Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)
Barcelona Supercomputing Center · Barcelona, ES
. Python LESS Machine Learning
Job Reference
406_25_ES_CES_RE1
Position
Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)
Closing Date
Sunday, 01 March, 2026
Reference: 406_25_ES_CES_RE1
Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)
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.
Context And Mission
The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the framework of the AI Factory initiative.
The AI Factory is a major European project aimed at accelerating the adoption and development of artificial intelligence across industry sectors that is deploying a comprehensive set of AI-focused services, including robust training, networking, and innovation support structures. Its mission is to foster the uptake and effective use of AI, particularly among SMEs and startups across participating countries, and to strengthen the European innovation ecosystem. These services are powered by the AI-specific partition of the MareNostrum5 supercomputer, one of the most advanced infrastructures in Europe, designed to meet the evolving AI needs by harnessing the latest AI-oriented computing technologies.
Within the Earth Sciences department, the selected candidate will support the development and deployment of AI services related to climate change use and test cases, contributing to real-world applications and scientific advancements. Additionally, the selected candidate will be coordinating the availability and integration of AI software, developed internally by consortium members or externally by third parties, on the MareNostrum5 AI partition, ensuring smooth support for the wider AI Factory user community.
Key Duties
- Support the documentation and curation of AI software employed in the AI Factory
- Support the deployment and maintenance of AI software on MareNostrum5 AI partition
- Design, implement, and optimize machine learning pipelines for environmental-related applications.
- Collaborate with domain scientists and external users to develop AI solutions
- Support users from the AI Factory in accessing and utilizing AI tools and services.
- Participate in collaborative development within the AI Factory consortium.
- Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting.
- Education
- Bachelor's or Master’s in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field.
- Essential Knowledge and Professional Experience
- Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, Tensorflow, and Scikit-learn.
- Proven experience in developing and training machine learning models, particularly deep learning architectures.
- Strong background in handling, analyzing, and validating large-scale datasets.
- Experience working in a UNIX-based computational environment.
- Additional Knowledge and Professional Experience
- Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr).
- Experience in high-performance computing (HPC) and parallelized machine learning workflows.
- Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/ or distributed training using Dask.
- Understanding of climate and weather models.
- Competences
- Strong problem-solving and analytical skills, with the ability to optimize computational workflows.
- Ability to work independently while collaborating effectively in a research environment.
- Excellent communication skills, with a strong ability to document and present research findings.
- Proficiency in written and spoken English.
- 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: 22 days of holidays + 6 personal days + 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: As soon as possible
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.
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.
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 [email protected].
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
Application Form
You are applying for the following job offer
Name and Surname *
Gender ** *
Female
Male
Other
Email *
Nationality** *
Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)? *
please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
Indicate what BSC department/s you want to apply.
Computer Sciences
CASE
Life Sciences
Earth Sciences
Indicate what research group/s you want to apply.
Upload CV (select the file, then click the Upload button) *
Please, upload your CV document using the following name structure: Name_Surname_CV
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx.
Cover Letter (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx zip.
Other Documents (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
Files must be less than 10 MB.
Allowed file types: txt rtf pdf doc docx rar tar zip.
- Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.
I accept the data policy *
Other: *
I confirm that the information given in this form is true, complete and accurate.
Leave this field blank
Barcelona Supercomputing Center
Barcelona, ES
Postdoctoral Researcher - Climate Services For The Renewable Energy Sector (R2)
Barcelona Supercomputing Center · Barcelona, ES
. Python Git
Overview
Postdoctoral researcher - Climate services for the Renewable energy sector (R2)
Employer: Barcelona Supercomputing Center
Location: Barcelona, Spain
Sector: Other
Atmospheric Sciences (AS); Climate: Past, Present & Future (CL); Earth and Space Science Informatics (ESSI)
Type: Full time
Level: Experienced
Open
Preferred education: PhD
Dates: 20 February ****; Posted 21 January ****
Reference: 33_26_ES_ESS_R2
Job title: Postdoctoral researcher - Climate services for the Renewable energy sector (R2)
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, and is now hosting entity for EuroHPC JU.
The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress.
BSC combines HPC service provision and R&D into both computer and computational science and has over **** staff from 60 countries.
We promote Equity, Diversity and Inclusion and encourage applications from women and underrepresented groups.
We Value Diversity Of Experiences And Skills.
Context And Mission
The aim of the Earth System Services Group (ESS) is to research the impact of weather, atmospheric chemistry and climate upon socio-economic sectors such as renewable energy, agriculture, water management, forest fires and urban development and to demonstrate the value of earth system services to society and the economy.
The role involves research on climate services related to renewable energy and collaboration on EU and national projects, notably Destination Earth Climate Digital Twin, to provide actionable information on multi-decadal timescales.
The candidate will develop climate services based on high-resolution global climate projections and maintain software for computing renewable energy indicators in an operational environment.
Benefits include an international multidisciplinary environment and advanced applied research training.
We encourage applicants with demonstrated experience in climate science, computer science and renewable energy.
Key Duties
Perform user-oriented research focused in renewable energy.
Post-process and inter-compare climate simulations (raw variables and computed indicators) from a range of sources in an HPC environment.
Maintain and upgrade Python-based software for calculating renewable energy indicators in an operational setting.
Engage with sector-relevant stakeholders to understand user needs.
Participate in management of tasks and work packages in EU projects, including teleconferences, workshops, conferences and writing deliverables.
Disseminate research results in peer-reviewed papers and international conferences.
Collaborate with scientists in the group and department and with external collaborators.
Apply for competitive grants and projects.
Requirements
Education
Degree in Physics, Environmental Sciences, Mathematics (or equivalent)
Ph.D. in atmospheric sciences, applied statistics or related field
Essential Knowledge And Professional Experience
Experience handling, analysing and validating large climate model datasets
Proficiency in scientific programming (Python preferred) and UNIX/HPC environment
Experience with Git for software development
Excellent written and verbal communication skills in English, especially for scientific publications
Ability to work in a multidisciplinary and international team
Additional Knowledge And Professional Experience
Experience with sub-seasonal, seasonal or decadal climate predictions
Experience with climate extreme indices or bioclimatic indicators
Experience developing tailored indicators for sectors such as energy, agriculture, water management or forest fires
Experience with climatic statistical analyses
Knowledge of statistical downscaling, multi-model combination techniques, bias adjustments, or teleconnections is favorable
Experience in energy companies or consultancies favorable
Experience working in an operational software environment
Competences
Problem-solving, proactive, result-oriented attitude
Ability to work in international and fast-paced settings
Good communication skills
Conditions
Location: BSC within the Earth Sciences Department
Full-time contract (37.5h/week), flexible hours, training plan, restaurant tickets, private health insurance, relocation support
Duration: Open-ended contract tied to project and budget duration
Holidays: 22 days plus 6 personal days plus 24th and 31st December
Salary: competitive and commensurate with qualifications and cost of living in Barcelona
Applications procedure and process
All applications must be submitted via the BSC website and include:
A cover/motivation letter in English specifying areas and topics of interest; include two references.
Development of the recruitment process
The selection is competitive and consists of two phases: Curriculum Analysis (40 points) and Interview (60 points).
A minimum of 30 points in the interview is required.
The recruitment panel will be gender-balanced and include at least three people; feedback will be provided to all interview participants.
We follow OTM-R principles.
For more information, contact ******.
Deadline and principles
The vacancy remains open until a suitable candidate is hired.
We are an equal opportunity employer committed to diversity and inclusion.
More information follows in the linked pages.
#J-*****-Ljbffr
Junior Research Engineer (RE1)
17 ene.Barcelona Supercomputing Center
Barcelona, ES
Junior Research Engineer (RE1)
Barcelona Supercomputing Center · Barcelona, ES
. Python C++ LESS
Job Reference
27_26_CS_HAMHPC_RE1
Position
Junior Research Engineer (RE1)
Closing Date
Saturday, 31 January, 2026
Reference: 27_26_CS_HAMHPC_RE1
Job title: Junior Research Engineer (RE1)
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.
Context And Mission
The Mobile and Embedded HPC team collaborates with Aingura IIoT, an industrial partner developing Industry 4.0 solutions for highly sensor-rich industrial environments.
The team focuses on the design, deployment, and optimization of heterogeneous HPC systems operating in real industrial settings. These systems combine commercial off-the-shelf components integrated into custom industrial setups together with RISC-V–based research prototypes, and act as highly instrumented compute nodes for advanced data processing.
The Main Activities Of The Team Include
- Deploying and maintaining hardware/software infrastructures in industrial environments, including commercial platforms and RISC-V–based prototypes
- Analyzing and optimizing the performance of benchmarks, mini-applications, and libraries provided by Aingura IIoT for predictive maintenance and sensor fusion workloads
- Supporting Aingura IIoT in the evaluation of novel architectures, performance analysis and optimization of their applications, and comparison with state-of-the-art HPC systems
Key Duties
- Implement algorithms using high-level programming languages (e.g., FORTRAN, C, C++, Python) as well as hardware description languages (e.g., VHDL, SystemVerilog)
- Integrate software components within the BSC tools and system software infrastructure
- Validate implementations by comparing results against reference versions of the studied codes
- Provide technical support to team members and users of the Aingura IIoT platforms involved in the project
- Education
- Ongoing or recently completed higher-degree studies in Computer Science, Electrical or Computer Engineering, Physics, or Mathematics
- Essential Knowledge and Professional Experience
- Experience with embedded programming environment (Arm and RISC-V)
- Basic knowledge of parallel and cluster computing environments
- Competences
- Ability to compile, run, and debug parallel scientific applications
- Knowledge of high-level programming languages and general software development practices
- The position will be located at BSC within the Computer 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: 22 days of holidays + 6 personal days + 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: 16/2/2026
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.
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.
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 [email protected].
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
Application Form
You are applying for the following job offer
Name and Surname *
Gender ** *
Female
Male
Other
Email *
Nationality** *
Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)? *
please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
Indicate what BSC department/s you want to apply.
Computer Sciences
CASE
Life Sciences
Earth Sciences
Indicate what research group/s you want to apply.
Upload CV (select the file, then click the Upload button) *
Please, upload your CV document using the following name structure: Name_Surname_CV
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx.
Cover Letter (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx zip.
Other Documents (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
Files must be less than 10 MB.
Allowed file types: txt rtf pdf doc docx rar tar zip.
- Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.
I accept the data policy *
Other: *
I confirm that the information given in this form is true, complete and accurate.
Leave this field blank