Postdoc: Distributed Foundation Model Inference (Edge-Cloud)

Communication, Control and Automation; Denmark; Presencial; DKK 420.000 - 480.000; Jornada completa

Descripción de la vacante

Communication, Control and Automation at Aarhus University seeks a postdoctoral researcher to advance adaptive, distributed foundation model inference across the computing continuum.

The role focuses on edge and cloud resource utilization, MoE placement, compression techniques, and resource-aware inference optimization, with opportunities to publish and collaborate with leading partners.

Formación

• PhD in Computer Science, Computer Engineering or Electrical Engineering or a related field.
• Strong background in Deep Learning, including transformers and foundation models.
• Proficient in Python and PyTorch; experience with DL frameworks.
• Experience with distributed systems and edge AI.
• Proven publication record and strong English communication.

Responsabilidades

• Contribute to cutting-edge research on distributed foundation model inference.
• Investigate MoE placement/scheduling for inference acceleration.
• Explore token or feature compression for efficiency.
• Publish results in top venues and collaborate with partners.

Conocimientos

Deep Learning

Python

PyTorch

Distributed Systems

English Communication

Educación

PhD in Computer Science / Electrical Engineering

Herramientas

PyTorch

Descripción del empleo

Communication, Control and Automation at Aarhus University seeks a postdoctoral researcher to advance adaptive, distributed foundation model inference across the computing continuum.

The role focuses on edge and cloud resource utilization, MoE placement, compression techniques, and resource-aware inference optimization, with opportunities to publish and collaborate with leading partners.