AI Institute Coordinator - AI4S

The AI Institute Coordinator will support the AI Institute’s Director in the following activities:

• AI roadmap – support in the definition of the structure of the roadmap and the definition and implementation of the consultation and prioritisation process for the roadmap, as well as it’s periodic updating
• BSC’s capacity to develop AI algorithms – support the Institute’s manager in analysing the centre’s current capacity and defining with BSC leadership, a vision and a plan to realise it
• Help to align AI developments with the various lines of development of “digital twin” simulations (e.g. digital twins of the earth “Destination Earth”, digital twins of cities or human twins, among others) and explore novel AI approaches to improve different aspects of simulations and the analysis of the results of the simulations themselves.
• Increase the visibility of the BSC nationally and internationally – work with BSC’s directors, its communication unit, its departments and others to raise BSCs profile as a centre of AI excellence. Liaise with research institutions across Europe, the US, India, and Japan, ensuring the AI Institute’s active participation in international AI and HPC initiatives. Provide logistical support for international collaborations with institutions like Argonne and Columbia University (USA), Riken (Japan), and other global research partners, particularly the Trillion Parameter Consortium.
• Collaborate with the Education & Training team in order to foster AI training – work with the BSC departments, its Education and Training area, and other initiatives such as AI factories, in order to promote AI training activities at BSC
• Collaborate with industry and public administration – work with BSC’s Innovation and Business Development Area to facilitate contacts with industry and public administration in order to promote research collaboration and transfer of results and promote key collaborations, including the Spain-IBM Memorandum of Understanding, particularly related to Large Language Models (LLM) and generative AI.
• Help to facilitate access to necessary data, including data for training and evaluating models in the different application areas will be increased. – work with BSC’s operations department, particularly the data management group, the scientific departments, BSC Legal, and others, in order to help enable access to data while respecting all relevant regulation.
• Liaise with BSC’s Operations Dept. and scientific departments and provide current and expected future needs for the infrastructure of AI-specific hardware accelerators and software environments optimized for AI workloads to allow researchers to efficiently train and deploy models on a large scale.
• Assist in planning, organizing, and overseeing multiple projects related to the Institute's research, development, and training initiatives, in collaboration with BSC PIs and PMO.
• Track project metrics, outcomes, and performance indicators and report on progress to the AI Institute Manager and senior leadership
• Help position The Institute as a meeting point for the teams that develop the applications in each scientific domain, with the organization of seminars, workshops, hosting guests and other activities that are useful for discussing new technologies, potential areas of application and, fostering internal collaborations.
• All of the above should be done within a context which prioritises ethical and social considerations and facilitates communication and collaboration across departments, research groups, and with external partners involved in AI projects and initiatives.

• Education
  • Bachelor’s degree in Computer Science, Engineering, Project Management, or related field.
  • A Master’s degree is a plus.
• Essential Knowledge and Professional Experience
  • 3-5 years of experience in R&D projects as a researcher or a manager, ideally within the AI, HPC, or technology sectors.
  • Proven experience in interdisciplinary and research-driven environments, with an understanding of project timelines, budgets, and deliverables.
  • Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
• Additional Knowledge and Professional Experience
  • Familiarity with research environments and large-scale interdisciplinary projects.
  • Experience in international collaborations, preferably involving academic or industry research partners.
• Competences
  • Strong organizational and time management skills, with the ability to handle multiple activities simultaneously.
  • Excellent communication and interpersonal skills, with experience in stakeholder and partnership management.
  • Able to maintain the global vision with problem-solving skills and adaptability in a fast-paced, innovative environment.
  • Able to work collaboratively within a diverse, multi-disciplinary team.