Postdoc: Efficient Foundation Model Inference & Edge AI

Aarhus University (AU); Denmark; On-site; DKK 500,000 - 800,000; Full time

Benefits offered by this job

Access to state-of-the-art facilities

Support for research career development

Commitment to diversity, equity, and inclusion

Healthy work-life balance

Job summary

Aarhus University (AU) is seeking a motivated postdoctoral researcher for a 1-year position in efficient foundation model inference with extension possibilities. The successful candidate will engage in cutting-edge research, focusing on topics such as token compression, distributed inference, and edge intelligence.

This role requires a Ph.D. in a relevant field, a strong background in Deep Learning, and excellent programming skills. The work location will be at Helsingforsgade 10, Aarhus. Benefits include access to state-of-the-art facilities and support for research career development.

Qualifications

• Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Strong background in Deep Learning.
• Strong programming skills in Python and experience with deep learning frameworks.
• Experience with distributed systems and edge AI.
• Strong publication record in reputable conferences or journals.
• Excellent written and spoken English communication skills.

Responsibilities

• Contribute to research on token compression and adaptive token pruning.
• Research on distributed and collaborative inference strategies.
• Work on Mixture-of-Experts (MoE) architectures for scalable inference.
• Optimize resource-aware and latency-constrained inference.
• Engage in edge intelligence and on-device foundation model deployment.

Skills

Deep Learning (Transformers, foundation models)

Programming skills in Python

Experience with deep learning frameworks (e.g., PyTorch)

Experience with distributed systems and edge AI

Strong publication record

Excellent written and spoken English

Education

Ph.D. in Computer Science or related field

Job description

Aarhus University (AU) is seeking a motivated postdoctoral researcher for a 1-year position in efficient foundation model inference with extension possibilities. The successful candidate will engage in cutting-edge research, focusing on topics such as token compression, distributed inference, and edge intelligence.

This role requires a Ph.D. in a relevant field, a strong background in Deep Learning, and excellent programming skills. The work location will be at Helsingforsgade 10, Aarhus. Benefits include access to state-of-the-art facilities and support for research career development.