Reference: 584_25_es_ces_R

About Bachelor

The Barcelona SuperMating Center – Centro Nacional de Supercomputación (BSC -CNS) is the leading center computing center in Spain. Marestrum, one of the most powerful computers in Europe, includes a founding and host member of the former European Practc Ju (partnership for advanced computing in Europe), and is now hosting an entity for Eurohpc Ju, which is led by the subscriber that leads to large -scale investments and HPC providing in Europe. The BSC mission is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC and R&D service in both computer and accounting sciences (LIFE, Earth and Engineering Sciences) under one roof, and he currently has more than 1,000 employees from 60 countries.

Look at the BSC experience: BSC-CNS on YouTube, let’s stay in contact with the Bachelor’s degree!

We are particularly interested in this role in the strengths and live experiences of women and groups represented by an incomplete representation to help us avoid sustaining biases and supervision of science and research.

We enhance fairness, diversity and inclusion, and we enhance an environment in which each of us is estimated for whom we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for a job offer. We appreciate the diversity of experiences and skills, and you can present unique views of our team.

Context and mission

The Ministry of Earth Sciences at the centralism of Barcelona SuperCEMENTING CENTRE NACIONAL De Supercomputación (BSC-CNS), and BSC-AES from now on (BSC.es/EARTH-SCIENCES) is one of the most active groups in air quality, air installation modeling, regular prediction, climate services in Europe. The department includes about 200 people, including scientists and technical staff. It was organized into five distinct research groups but interaction: air formation, climate prediction, Earth system services (ESS), global health flexibility, and mathematical earth sciences.

Successful candidates will benefit from the training program and the benefits of BSC-CNS employees: a multidisciplinary international scientific environment, advanced research training, and advanced mathematical facilities.

We are looking for a very enthusiastic student in computer science or environmental science or a related field to contribute to advanced research in automated learning applications for Earth Sciences. This position provides the opportunity to contribute to the development of an open science platform that supports the transparent, repetitive and developed workflow to predict the regional climate and assign extreme events. The chosen candidate will work within the framework of the expected European project, which focuses on improving prediction and understanding regional climate changes and matching through advanced climate simulation, land notes and machine learning.

The open science platform aims to enable the climate science community by providing access to tools and resources that can be accessed, including data processing pipelines, aid learning model training code, local models, standards, and evaluation protocols. This platform plays an important role in building the ability of data science and enhancing cooperation between researchers through disciplines.

The Training or Bachelor’s Training Project will provide practical experience in developing and maintaining the workflow of frequent data science, contributing to open source warehouses, and supporting automated learning integration in climate science applications. The role provides a multidisciplinary dynamic environment with close cooperation between climate scientists, data engineers and automated learning researchers.

Main duties

The development and maintenance of open source warehouses contains data processing pipelines, automated learning training texts, and models assessment tools related to climate forecasting and attributing extreme events. Contribute to designing and implementing the process of reproductive data, ensuring transparency and ease of use for the broader climate science community. Cooperation with climate scientists and automated learning experts to integrate models and data groups into the statute, adapting tools to various cases of use and research needs. Documentation of pre -models, standard data groups, and evaluation protocols, which makes them accessible and easy to use by external researchers. Supporting the publication and maintenance of the open science platform, including release control, continuous integration, and the basic basic system test. Participated in the meetings and efforts of the expected collaborative consortium and with external users to collect comments and improve the ability to use for the platform and the scientific value. Contributing to communication and training, such as educational programs and notes, to support the adoption of the platform by the Climate Research Society

requirements

Education registered in the undergraduate or master’s program in computer science, mathematics, data science, environmental science, or a related field. Basic knowledge and professional experience strong programming skills in Bethon and familiarity with machine learning libraries such as Pytorch, Tensorflow, or Scikit-Learn. Experience in dealing with large data groups, analyzing and verifying them. Experience in developing and training automated learning models. Infinitely with work in an unix -dependent calculation environment. Additional experience in professional knowledge and experience in work with climatic data and weather groups format (NetCDF, Zarr, …). Knowing the work of highly performance computing (HPC). Experience with GPU’s automatic learning frameworks like Rapids. Talents strong skills to solve problems and analytical. The ability to work independently and replace the research environment. Effective communication and group work skills. Efficiency in the written English language and the word.

conditions

This position will be present in the Bachelor’s degree within the Department of Earth Sciences, we offer a full -time contract (37.5 hours/week), a good work environment, a very stimulating environment with modern infrastructure, flexible flexible working hours, wide training plan, restaurant tickets, private health insurance, and support for transportation procedures: December for each collective agreement: We offer a competitive salary that is commensurate with qualifications And the expertise of the candidate, according to the cost of living in Barcelona, ​​the start date: 01/10/2025

Application and process procedures

All requests must be submitted via BSC and contains:

The full autobiography in English including connection details is a coverage/stimulation message with an interest in the English language, clearly determines any specific field and topics the applicant wishes to consider. In addition, two references should be included for more connections. Applications that do not contain this document will not be considered.

Development of the recruitment process

The selection will be made through the competitive examination system (“Concurso-Oposición”). The recruitment process consists of two phases:

Curricula analysis: evaluation of previous experience and/or scientific history, degree, training, and other professional information related to the situation. – 40 points of interview: The highest -rated candidates will be invited at the level of the curriculum to the interview stage, which is managed by the corresponding administration and human resources. At this stage, technical competencies, knowledge, skills, and professional experience related to the situation will be evaluated, as well as the required personal competencies. – 60 points. At least 30 points of 60 should be obtained to be eligible for this position.

The employment committee will consist of at least three people, ensuring that women are represented at least 25 %.

According to the principles of OTM-R, a balanced gender employment plate is formed for each vacant function at the beginning of the process. After reviewing the content content, the committee will start interviews, with at least one technical interview. At least, a personal questionnaire as well as a technical exercise will be conducted during the operation.

The committee will make a final decision, and all individuals who have participated in the interview will receive notes with details about accepting or rejecting their personal file.

In a bachelor’s degree, we seek to constantly improve our recruitment. For any suggestions or comments/complaints about our employment, please call (Email protected). For more information, please follow this link.

Delivery date

The vacancy will remain open until a suitable candidate is appointed. Applications will be reviewed regularly and potential candidates will be contacted.

OTM-R Principles for selection

BSC-CNS is committed to the principles of behavior rules for employing researchers in the European Commission and the principles of open and transparent recruitment on merit (otm-r). This is applied to any potential filter in all our operations, for example by creating gender -balanced employment panels, identifying job breaks, etc. We are pleased to look at all applicants who are qualified for employment without regard to race, color, religion, sexual identity, national origin, age, deficit, or any other basis protected under the local law in force. For more information, follow this link

Reference: 584_25_es_ces_R

About Bachelor

The Barcelona SuperMating Center – Centro Nacional de Supercomputación (BSC -CNS) is the leading center computing center in Spain. Marestrum, one of the most powerful computers in Europe, includes a founding and host member of the former European Practc Ju (partnership for advanced computing in Europe), and is now hosting an entity for Eurohpc Ju, which is led by the subscriber that leads to large -scale investments and HPC providing in Europe. The BSC mission is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC and R&D service in both computer and accounting sciences (LIFE, Earth and Engineering Sciences) under one roof, and he currently has more than 1,000 employees from 60 countries.

Look at the BSC experience: BSC-CNS on YouTube, let’s stay in contact with the Bachelor’s degree!

We are particularly interested in this role in the strengths and live experiences of women and groups represented by an incomplete representation to help us avoid sustaining biases and supervision of science and research.

We enhance fairness, diversity and inclusion, and we enhance an environment in which each of us is estimated for whom we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for a job offer. We appreciate the diversity of experiences and skills, and you can present unique views of our team.

Context and mission

The Ministry of Earth Sciences at the centralism of Barcelona SuperCEMENTING CENTRE NACIONAL De Supercomputación (BSC-CNS), and BSC-AES from now on (BSC.es/EARTH-SCIENCES) is one of the most active groups in air quality, air installation modeling, regular prediction, climate services in Europe. The department includes about 200 people, including scientists and technical staff. It was organized into five distinct research groups but interaction: air formation, climate prediction, Earth system services (ESS), global health flexibility, and mathematical earth sciences.

Successful candidates will benefit from the training program and the benefits of BSC-CNS employees: a multidisciplinary international scientific environment, advanced research training, and advanced mathematical facilities.

We are looking for a very enthusiastic student in computer science or environmental science or a related field to contribute to advanced research in automated learning applications for Earth Sciences. This position provides the opportunity to contribute to the development of an open science platform that supports the transparent, repetitive and developed workflow to predict the regional climate and assign extreme events. The chosen candidate will work within the framework of the expected European project, which focuses on improving prediction and understanding regional climate changes and matching through advanced climate simulation, land notes and machine learning.

The open science platform aims to enable the climate science community by providing access to tools and resources that can be accessed, including data processing pipelines, aid learning model training code, local models, standards, and evaluation protocols. This platform plays an important role in building the ability of data science and enhancing cooperation between researchers through disciplines.

The Training or Bachelor’s Training Project will provide practical experience in developing and maintaining the workflow of frequent data science, contributing to open source warehouses, and supporting automated learning integration in climate science applications. The role provides a multidisciplinary dynamic environment with close cooperation between climate scientists, data engineers and automated learning researchers.

Main duties

The development and maintenance of open source warehouses contains data processing pipelines, automated learning training texts, and models assessment tools related to climate forecasting and attributing extreme events. Contribute to designing and implementing the process of reproductive data, ensuring transparency and ease of use for the broader climate science community. Cooperation with climate scientists and automated learning experts to integrate models and data groups into the statute, adapting tools to various cases of use and research needs. Documentation of pre -models, standard data groups, and evaluation protocols, which makes them accessible and easy to use by external researchers. Supporting the publication and maintenance of the open science platform, including release control, continuous integration, and the basic basic system test. Participated in the meetings and efforts of the expected collaborative consortium and with external users to collect comments and improve the ability to use for the platform and the scientific value. Contributing to communication and training, such as educational programs and notes, to support the adoption of the platform by the Climate Research Society

requirements

Education registered in the undergraduate or master’s program in computer science, mathematics, data science, environmental science, or a related field. Basic knowledge and professional experience strong programming skills in Bethon and familiarity with machine learning libraries such as Pytorch, Tensorflow, or Scikit-Learn. Experience in dealing with large data groups, analyzing and verifying them. Experience in developing and training automated learning models. Infinitely with work in an unix -dependent calculation environment. Additional experience in professional knowledge and experience in work with climatic data and weather groups format (NetCDF, Zarr, …). Knowing the work of highly performance computing (HPC). Experience with GPU’s automatic learning frameworks like Rapids. Talents strong skills to solve problems and analytical. The ability to work independently and replace the research environment. Effective communication and group work skills. Efficiency in the written English language and the word.

conditions

This position will be present in the Bachelor’s degree within the Department of Earth Sciences, we offer a full -time contract (37.5 hours/week), a good work environment, a very stimulating environment with modern infrastructure, flexible flexible working hours, wide training plan, restaurant tickets, private health insurance, and support for transportation procedures: December for each collective agreement: We offer a competitive salary that is commensurate with qualifications And the expertise of the candidate, according to the cost of living in Barcelona, ​​the start date: 01/10/2025

Application and process procedures

All requests must be submitted via BSC and contains:

The full autobiography in English including connection details is a coverage/stimulation message with an interest in the English language, clearly determines any specific field and topics the applicant wishes to consider. In addition, two references should be included for more connections. Applications that do not contain this document will not be considered.

Development of the recruitment process

The selection will be made through the competitive examination system (“Concurso-Oposición”). The recruitment process consists of two phases:

Curricula analysis: evaluation of previous experience and/or scientific history, degree, training, and other professional information related to the situation. – 40 points of interview: The highest -rated candidates will be invited at the level of the curriculum to the interview stage, which is managed by the corresponding administration and human resources. At this stage, technical competencies, knowledge, skills, and professional experience related to the situation will be evaluated, as well as the required personal competencies. – 60 points. At least 30 points of 60 should be obtained to be eligible for this position.

The employment committee will consist of at least three people, ensuring that women are represented at least 25 %.

According to the principles of OTM-R, a balanced gender employment plate is formed for each vacant function at the beginning of the process. After reviewing the content content, the committee will start interviews, with at least one technical interview. At least, a personal questionnaire as well as a technical exercise will be conducted during the operation.

The committee will make a final decision, and all individuals who have participated in the interview will receive notes with details about accepting or rejecting their personal file.

In a bachelor’s degree, we seek to constantly improve our recruitment. For any suggestions or comments/complaints about our employment, please call (Email protected). For more information, please follow this link.

Delivery date

The vacancy will remain open until a suitable candidate is appointed. Applications will be reviewed regularly and potential candidates will be contacted.

OTM-R Principles for selection

BSC-CNS is committed to the principles of behavior rules for employing researchers in the European Commission and the principles of open and transparent recruitment on merit (otm-r). This is applied to any potential filter in all our operations, for example by creating gender -balanced employment panels, identifying job breaks, etc. We are pleased to look at all applicants who are qualified for employment without regard to race, color, religion, sexual identity, national origin, age, deficit, or any other basis protected under the local law in force. For more information, follow this link