PhD Candidate: Efficient Edge Intelligence

Ntnu; Trondheim; On-site; NOK 522,000 - 638,000; Full time

Job summary

NTNU's Department of Computer Science invites applications for a PhD Candidate in Efficient Edge Intelligence Models. The successful candidate will join an international, collaborative research environment and work toward a doctorate while gaining experience in advanced AI systems.

The position involves conducting high-quality research at the intersection of deep learning and computer systems, publishing work, and participating in an active research group with opportunities for international

Qualifications

• Must have a relevant Master's degree in Computer Science with a major independent project (≥30 ECTS).
• Strong academic background with average grade equal to B or better on NTNU scale or equivalent.
• English proficiency: IELTS 7 or TOEFL >100.
• First-author publication in ML/edge AI topics.
• Hands-on experience with Nvidia Jetson or similar edge platforms.
• Strong knowledge of deep learning, LLMs, or multimodal models.
• Experience in deep learning optimization (pruning, quantization).
• Strong academic writing skills.

Responsibilities

• Complete the doctoral education until the doctorate is obtained.
• Conduct high-quality research in efficient edge intelligence.
• Publish academic papers and disseminate findings.
• Participate in the research group (system software)
• Attend international conferences and research stays.
• Engage in career-promoting activities as assigned by the unit.

Skills

IELTS 7 or TOEFL 100

First-author publication

Jetson boards experience

Deep learning knowledge

Academic writing

Independent work

English presentation skills

Education

Master's in Computer Science

Major project (≥30 ECTS)

Strong academic record (B or better)

English proficiency evidence

Tools

Jetson

Job description

NTNU's Department of Computer Science invites applications for a PhD Candidate in Efficient Edge Intelligence Models. The successful candidate will join an international, collaborative research environment and work toward a doctorate while gaining experience in advanced AI systems.

The position involves conducting high-quality research at the intersection of deep learning and computer systems, publishing work, and participating in an active research group with opportunities for international