AI Researcher Audio And Multimodal AI

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.

The Artificial Intelligence and Digital Science Research Centre (AIDRC) is the machine learning powerhouse of TII. We work closely with other research centers to harness the full potential of AI across multiple domains — from healthcare and cybersecurity to government and advanced technology systems.

We incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure.

Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

We are seeking a talented and motivated AI Researcher — whether early‑career or experienced — to join our team and contribute to cutting‑edge research in multimodal generative AI, with a primary focus on audio, spanning speech, music, and sound. The successful candidate will bring strong technical foundations and scientific curiosity, with the opportunity to grow into research leadership, shape our audio AI program, build strategic partnerships, and produce impactful contributions that advance both the field and the capabilities of our center.

• Contribute to and progressively lead research programs in multimodal foundation models, with a particular emphasis on Speech/Audio Large Language Models (LLMs) and generative audio systems
• Participate in defining research direction — identifying high-impact opportunities and aligning scientific priorities with the center's strategic goals.
• Support and, over time, mentor junior researchers and engineers, contributing to a culture of scientific excellence and continuous learning.
• Engage actively in decisions regarding research roadmaps, model development priorities, and team initiatives.

• Design, implement, and rigorously evaluate novel model architectures and training algorithms for audio and multimodal generative systems.
• Participate in the full research lifecycle: dataset curation and selection, model training, fine‑tuning, scaling, and systematic performance evaluation.
• Contribute to large‑scale data processing and experiment management across distributed training environments.
• Drive open‑source releases and publish research findings in top‑tier venues, contributing to the external profile of the research center.

• Collaborate with internal research centers, industry partners, academic institutions, and end‑user communities to advance shared research goals.
• Present research outcomes through publications, technical reports, demonstrations, and conference presentations at leading venues.
• Contribute to proposals for new research programs and strategic initiatives in collaboration with senior researchers and leadership.

• Ensure adherence to ethical standards, responsible AI practices, and AI safety guidelines.
• Contribute to establishing best practices, shared infrastructure, and reusable research components across teams.

• PhD in Computer Science, Artificial Intelligence,…