Reference:

436_26_CASE_DPPP_R2

Job title:

Researcher - AI data scientist (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.

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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’ Data Visualization and Analytics group is looking for a data scientist specialized in AI.

The group has 5 research lines -Industrial Data Science, Urban Data Science, Interactive Data Visualization, Data Storytelling, and Arts+Science Driven Innovation. The goal of this position is to work as data scientist across all of the lines, as most projects include a combination of skills. In particular, to apply AI and advanced statistical methods to problems in advanced manufacturing and factory operation, digital services, energy efficiency, urban planning, digital democracy, as well as science dissemination.

The candidate will join the currently ongoing projects and work with the teams from all the related lines of research. The candidate will also work on procuring funding for future projects.

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

• Data exploration and preparation.

• Talking to end users and domain experts to capture the key components of a problem.

• Exploratory modeling (architecture design, pipeline design).

• Visualization and presentation of preliminary results.

• Advise younger researchers and engineers in the group.

• Help write reports, deliverables, and research proposals.

Requirements

• Education

  • Masters or PhD Degree in Computer Science, Mathematics, or technoogy related field.

• Essential Knowledge and Professional Experience

  • Experience with AI and advanced statistical models applied to science and industry
  • Experience working on applied data science projects.
  • Strong AI programming experience, preferably in Python
  • Strong initiative to carry on research and development independently.

• Additional Knowledge and Professional Experience

  • Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
  • Experience on some of the application fields of the group’s projects

• Competences

  • Ability to work in a team and in a multi-cultural environment.
  • Excellent communication skills, especially for producing documentation (reports, manuals, papers).

Conditions

• The position will be located at BSC within the CASE Department

• We offer a full-time contract (35h/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: until 31/12/2028

• Holidays: 22 days of holidays + 6 personal days + 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

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:

1. Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points

2. 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 This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.