Postdoctoral Research Fellow: AI, HPC & Open-Source Tools

Adelaide University; Adelaide; On-site; AUD 117,000 - 164,000; Full time

Job summary

Adelaide University invites applications for a research-focused role in the School of Computer Science and Information Technology. You will contribute to experimental computer systems research, publish results and collaborate with industry partners.

Required are a PhD or near completion, strong programming skills (Python/C++) and experience in performance evaluation, benchmarking, and HPC/embedded systems. The team values teamwork and rigorous experimentation.

Qualifications

• PhD (completed or near completion) in Computer Science, Computer Engineering, or related field.
• Demonstrated research in experimental computer systems and performance evaluation.
• Experience designing controlled, repeatable experiments with quantitative analysis.
• Familiarity with FPGA, GPU or accelerator technologies.
• Strong programming and data-analysis skills (Python and C/C++).
• Ability to communicate complex technical findings clearly and to work with software engineers and researchers.

Responsibilities

• Plan and conduct experiments in computer systems with rigorous data analysis.
• Publish high-quality research results and present findings to stakeholders.
• Collaborate with software engineers, researchers and industry partners to deliver milestones.
• Manage experimental projects and ensure security/compliance with university requirements.

Skills

PhD level

Python

C/C++

Experiment design

Data analysis

Collaborative work

High performance computing

FPGA/GPUs

Education

PhD (completed or near completion)

Tools

Python

C/C++

System profiling tools

Job description

Adelaide University invites applications for a research-focused role in the School of Computer Science and Information Technology. You will contribute to experimental computer systems research, publish results and collaborate with industry partners.

Required are a PhD or near completion, strong programming skills (Python/C++) and experience in performance evaluation, benchmarking, and HPC/embedded systems. The team values teamwork and rigorous experimentation.