**Director of Distributed Artificial Intelligence (DAI) Research Group
The i2CAT Foundation seeks a Director to lead the overall strategy in Artificial Intelligence (AI). The DAI research group conducts research and innovation activities in explainable and distributed AI, multimodal AI perception, and cognitive cloud. With a long track record of participation in EU R&D projects, the group develops and updates a research roadmap to steer its activities and identify new fields to explore.
The successful candidate will define a strategy and coordinate all AI-related research and innovation, identifying synergies across research groups and defining a long-term vision of the value of i2CAT in the field of AI.
Key Responsibilities:
* Lead the Distributed Artificial Intelligence Research Group, consisting of 22 researchers/engineers working in 3 research lines.
* Contribute to the achievement of the overall strategic objectives of i2CAT, aiming at scientific and technological excellence, as well as the generation of impact on technology, economy, and society.
* Define the strategy in the area of AI for the entire organization, ensuring smooth coordination across teams in different research groups.
* Become a reference person in the area of AI for i2CAT, participating in meetings with key stakeholders and public events.
* Develop the professional career of the DAI research group team members.
About i2CAT:
The i2CAT Foundation is a non-profit research and innovation center promoting mission-driven R&D activities on advanced Internet architectures, applications, and services. We partner with companies, public administration, academia, and end-users to leverage our knowledge in order to meet real social and business challenges.
We value diversity and inclusivity, creating an environment where everyone can develop their full potential. We are committed to promoting female talent and underrepresented groups in the scientific and technological fields.
Requirements:
* PhD in Telecommunications Engineering, Computer Science, or a related discipline.
* Demonstrable Post-PhD R&D experience of at least 3 years in the relevant field.
* Sound knowledge of AI challenges, trends, and technologies, with particular focus on Generative AI (including LLMs).
* Experience leading technical teams in the past, leadership skills, and project management experience.
Nice to Have:
* Strong scientific/technical publication record.
* Be a recognized person in the research ecosystem of AI.
* Have occupied positions of responsibility in large R&I collaborative projects.