Lead of the Data and Methods for HPCSSH (RE3_T2) - AI4S

Job Reference

531_24_DIR_CSS_RE3-T2

Position

Lead of the Data and Methods for HPCSSH (RE3_T2) - AI4S

Data de tancament

Diumenge, 01 Setembre, 2024
Reference: 531_24_DIR_CSS_RE3-T2
Job title: Lead of the Data and Methods for HPCSSH (RE3_T2) - 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.

Look at the BSC experience:
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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 Computational Social Science and Humanities program envisions preparing the social sciences and humanities for the era of data, artificial intelligence (AI), and Exascale supercomputing. Our mission is to foster collaboration between social scientists and computer scientists, making high-performance computing (HPC) accessible to all researchers in the field. Through innovative approaches, we aim to apply social science research to contribute valuable insights for informed policymaking.

In our pursuit, we focus on a wide range of key societal research areas such as Population and Household changes, Democratic Quality, Social Media, Public Opinion and Political Communication, Equity and Welfare in Education and Labor Market, tlegal systems and Legislation, Social-Ecology, Science of Science, and History, Archeology and Cultural Heritage. Employing a mixed of advanced statistical models, AI/Machine Learning, Large Language Models (LLMs), Agent-Based Modeling (ABM), Social Network Analysis (SNA), high-performance computational methods are applied to a wide range of large datasets from official statistics, surveys, social media, news, laws, historical archives, current data archives, archaeology data, citizens' volunteered and web-scraping data, and public administration and industry data.

We are seeking a highly experienced and committed IT manager to lead the group of Data and Methods for HPCSSH (High-Performance Computational Social Science and Humanities). You will report directly to Dr. Mercè Crosas, director of the CSSH program.

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

"La financiación de estas actuaciones/becas y contratos, procede del Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, en el marco de la Invitación General de la entidad pública empresarial Red.es para participar en los programas de atracción y retención del talento dentro de la Inversión 4 del Componente 19 del Plan de Recuperación, Transformación y Resiliencia.
Para más información: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s "

 

Key Duties
 
  • Lead and manage the Data and Methods for HPCSSH group
  • Contribute to the strategy for technical AI and HPC support for the researchers in the CSSH program, aligned with BSC strategy
  • Work closely with the PIs of the CSSH program to understand and provide support to their technology needs, including AI and Data tools, HPC research software, and data repository for training datasets and Big data for CSSH
  • Ensure that the HPCSSH group provides support for FAIR data, data curation, and reproducible research with adequate metadata and computational workflows
  • Coordinate the support for security and sensitive data for research projects within the CSSH program
  • Manage the development of software applications needed for the program’s competitive research projects
  • Manage and coordinate the development of new, cutting-edge computational methods for advancing CSSH
  • Ensure support for all technical aspects of the research projects within CSSH
  • Represent the CSSH program on the coordination of research technology, data, methods and HPC efforts with other departments at BSC and with external collaborations
 
Requirements
 
  • Education
    • MsC in Information Technology
    • Master or BA in area related to social sciences, humanities or arts is a plus
  • Essential Knowledge and Professional Experience
    • At least 10 years experience leading an IT team in a highly demanding context
    • Proven track of goal-oriented technology achievements
    • Extended experience managing and coordinating technology projects in a research or academic environment, including providing services for data science and security
    • Good understanding of best practices in software engineering processes
    • Participation in strategic planning for technology support for research
  • Additional Knowledge and Professional Experience
    • Experience mentoring or teaching in academic environment
    • Experience developing research applications or platforms, including front-end and back-end development
    • Working closely with Research Computing (or Cloud) environments is a plus
    • Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
  • Competences
    • Ability to stay updated with emerging technologies and research needs.
    • Ability to work in a team and in a multi-cultural environment.
    • Excellent leadership skills
    • Excellent problem-solving skills, with a keen attention to detail
    • Hard-working and highly organized
    • Good communication skills for effective collaboration with researchers, research engineers and data scientists.
 
Conditions
 
  • The position will be located at BSC within the Computational Social 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
  • Duration: 4 years
  • Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
  • Salary: 70.000 €
  • 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 - the incorporation for this vacancy must be before the 16th of December 2024
 
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.

 
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

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
Please, upload your CV document using the following name structure: Name_Surname_CV
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Tipus de fitxers permesos: txt rtf pdf doc docx.
Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
Els fitxers han de ser de menys de 3 MB.
Tipus de fitxers permesos: txt rtf pdf doc docx zip.
Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
Els fitxers han de ser de menys de 10 MB.
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** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.