Reference: 590_25_es_ces_r2 job name: post PhD researcher in multimedia basic models for modeling the Earth system (R2)

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.

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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

We are looking for a gifted post -doctoral and motivated doctorate researcher to join our team for the prestigious Elliot Horizon Eurobe project. Elliot is a prominent initiative of 25 million euros, a four -year duration with 30 partners in 12 countries, dedicated to progress in the next generation of Multimodal Generals (MGFMS) models. This project will be effective in facing the complex challenges in the modeling of the Earth system and environmental monitoring by taking advantage of the leading infrastructure in Europe (HPC), including Marestrum’s BSC, Lumi, JuPiter and Leonardo. A successful candidate will play a decisive role in developing and improving the functions of machine learning work to analyze large -scale environmental data, which contributes to creating strong and generalized climate science models. This position provides a unique opportunity to work at the intersection of machine learning, high -performance computing, and climate research, within a vibrant research environment.

Main duties

Cooperation in training and controlling the large -scale multimedia basic models for the Earth’s system data. Create and implement converters for basic models to effectively process and understand the various spatial environmental data flows. Developing energy -saving variables and calculating for the basic basis models for publication on HPC platforms. Contribute to the establishment of open source data collections, pipelines and research tools that can be repeated for the scientific community. Cooperation with a multidisciplinary team from BSC researchers and Elliot Federation. Publishing research results in magazines and higher scientific conferences. Leadership of Developing responsibilities reporting the project and reporting

requirements

PhD education in computer science, data science, computational environmental science, or a relevant field. Basic knowledge and professional experience know the basis models, adaptation techniques, and the development of models (models development in Pytorch, swallowing multimedia data, HPC knowledge, etc.) with deep learning models, especially in the context of data collections on a large scale. The experience of working with the data of the environmental system or the Earth system (satellite images, re -analysis data, etc., the ability to provide and experience in reporting and managing European Union projects. Communication and collective communication skills, with a high level of efficiency in the English language. An additional experience and a professional experience with management and great analysis in computing (HPC) and parallel programming (EG, MPI, OpenMP). (For example, NetCDF, GRIB, Zarr).

conditions

This position will be present in the Bachelor’s degree within the Earth Sciences Department, we offer a full -time contract (37.5 hours/week), a good work environment, and 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 of our collective agreement: We offer a competitive salary that is commensurate with qualifications And the expertise of the candidate and according to the cost of living on the date of the start of Barcelona: as soon as possible

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