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 Wave Phenomena and Natural Hazards Group of the Department of Computer Applications for Science and Engineering (CASE) leads the core design and implementation of an advanced agentic Artificial Intelligence (AAI), as part of a 3-year European project. The core design and programming effort aims at making learning machines, interfaced with a natural language dialog system and augmented by a knowledge base, capable of reliable reasoning and action planning in uncertain and rapidly evolving contexts, leading to the automatic execution of fast simulations in the natural hazards area. This earth science application belongs to the general area of AI design and software engineering applied to Machine Learning (ML), asynchronous workflow orchestration, and uncertainty aware AI agents.
To advance that initiative we seek an AI Scientist or applied Mathematician with at least 3 years of demonstrable previous research experience, after having earned a PhD. Candidates should be interested in bridging the gap between self-correcting learning machine and reasoning and planning logic, based on complex data structures that reflect uncertain, updatable knowledge. The candidate can expect to team up with applied mathematicians, physicists and software developers in the development of frontier algorithms and the deployment of HPC workflows in distributed computing environments.
As an on-premise, full-time agent AI Researcher, you will integrate a tight-knit team of 8 people on-site, plus other ML/AI specialists located at European partnering organizations.
Key Duties
- Participate in the development of algorithms and modular components for the AI agent's key functions bridging the gap between mathematical formalism, model representation learning and contextual reasoning with natural language
- Generate and apply new and existing knowledge on probabilistic data model updates, taking into account, for instance and among other aspects, uncertainty propagation and a modified Fréchet distance as core computational components of self-correcting learning machines.
- Take responsibility on tasks related to an ongoing multi-partner international project on an agentic AI for trustworthy impact simulation integrating digital twins and epistemically uncertain contexts.
- Collaborate with scientists and engineers, on a daily basis, across partner institutions.
Requirements
- Education
- PhD in either Applied Mathematics, Physics, Computer Science, or Data Science with a earlier academic background in same.
- Essential Knowledge and Professional Experience
- OO-Programming skills: Python (required), JAX or C++, SQL, *nix shell.
- Statistical modeling and machine learning, as well as convex problem solving skills. (>2 years).
- Familiarity with linear and non-linear dynamic system state update mechanisms.
- Familiarity with probabilistic reasoning or AI agents.
- At least 2 years of experience in software engineering / programming.
- Additional Knowledge and Professional Experience
- HPC exposure: COMPSs, MPI, OpenMP, CUDA.
- Agile development practices.
- Previous collaboration in international research project(s) involving scientific or data-intensive workflows.
- Fluency in English, written and spoken is essential. Spanish and/or Catalan will be highly valued.
- Competences
- Analytical and problem-solving skills.
- Ability to learn and work independently as well as in team.
- Ability to work in interdisciplinary environments.
- Communication, initiative and prioritization under constraints.
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, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: 01/08/2026
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:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- 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.
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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.
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