Job Reference 627_24_CASE_DPPP_R3 Position Researcher - AI social urban digital twins (R3) - AI4S Closing Date Monday, 30 September, 2024 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, 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.
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.
Context And Mission The Barcelona Supercomputing Center's Data Visualization and Analytics group is looking for a research lead on AI applied to science.
The goal of this position is to lead the research and projects on the Industrial Data Science line, interacting with other lines to complement and finish applied research into current industry problems: advanced manufacturing and factory operation, AI-powered digital services, and extraction, processing, and modeling of unstructured information to improve efficiency.
The candidate will join the currently ongoing projects, guiding their correct progress and interacting with all the technical leads of the group as well as with external partners and providers.
Furthermore, the candidate will participate and actively work on finding and securing funding for future projects.
Key Duties Define AI strategy and research for industry.
Lead the research of the group projects related to this area.
Advise younger researchers and engineers in the group.
Take a lead role in identifying and securing new funding opportunities.
Find applications of the research in the problems led by the urban, interactive, and arts research lines.
Lead and coordinate the writing of reports and deliverables.
Requirements Education PhD Degree in Physics, Mathematics, Engineering, or technology-related field.
Essential Knowledge and Professional Experience Experience with AI and advanced statistical models applied to science and industry.
Experience working and managing applied data science projects.
Experience in leading and managing a research team.
Strong initiative to carry on multidisciplinary research projects.
Additional Knowledge and Professional Experience Fluency in English is essential.
Proficiency in Spanish and other European languages would be advantageous.
Experience teaching and disseminating technology.
Broad experience in different technological fields.
Competences Ability to work in a team and in a multi-cultural environment.
Excellent communication skills, especially for producing documentation.
Conditions The position will be located at BSC within the CASE Department.
We offer a full-time contract (37.5h/week), a good working environment, 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.
Salary: 55,000€.
Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses.
Starting date: asap - 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.
Development of the recruitment process The selection will be carried out through a competitive examination system.
The recruitment process consists of two phases: Curriculum Analysis: Evaluation of previous experience and/or scientific history.
Interview phase: The highest-rated candidates will be invited to the interview phase.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
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.
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