Postdoc: Efficient Foundation Model Inference (Cloud-to-Edge)

Aarhus Universitet; Favrskov Kommune; On-site; DKK 50,000 - 65,000; Full time

Benefits offered by this job

Access to state-of-the-art facilities

Strong support for career development

Family-friendly policies

Job summary

Aarhus Universitet is seeking a motivated candidate for a postdoctoral position in deep learning research at their Department of Electrical and Computer Engineering. The position focuses on efficient model inference across computing environments, offering a full-time contract with opportunities for extension.

Ideal candidates will have a Ph.D. and strong experience in deep learning, programming, and distributed systems. The role comes with a commitment to diversity and supportive workplace culture, along with access to modern facilities.

Qualifications

• Ph.D. in relevant field required.
• Strong foundation in Deep Learning concepts needed.
• Proficiency in Python and deep learning frameworks expected.

Responsibilities

• Contribute to research on token compression and adaptive pruning.
• Develop distributed collaborative inference strategies.
• Optimize latency and resources for inference.

Skills

Deep Learning

Python programming

Distributed systems

Edge AI

Publication record

Education

Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or related field

Tools

PyTorch

Job description

Aarhus Universitet is seeking a motivated candidate for a postdoctoral position in deep learning research at their Department of Electrical and Computer Engineering. The position focuses on efficient model inference across computing environments, offering a full-time contract with opportunities for extension.

Ideal candidates will have a Ph.D. and strong experience in deep learning, programming, and distributed systems. The role comes with a commitment to diversity and supportive workplace culture, along with access to modern facilities.