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Up to 30% off — ends 2 Aug
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Purdue University
Top university
4 days ago
PhD Positions in Efficient AI Systems at Purdue University EcoAI Lab Purdue University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Purdue University

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About this position
PhD positions and internships are available at Purdue University in the EcoAI Lab, within the Department of Computer Science. The lab focuses on AI computing systems with efficiency, especially algorithm-hardware co-design for ubiquitous intelligence across edge and cloud environments.
Research pillars include data, algorithms, and systems, with an emphasis on efficient machine learning systems for large language models and vision models under resource constraints. The post highlights work at the intersection of computer science, AI systems, and computing architecture.
Applicants should be self-motivated, hardworking, curious, persistent, and professional, with strong logic, writing, and presentation skills. Required technical experience includes PyTorch, C++, and CUDA, plus prior research experience in AI, systems, or architecture. Interest in efficient AI systems and LLM/LVM optimization is desirable, as is collaboration with industry partners such as Adobe, Meta, Google, Nvidia, and Intel.
The post mentions supervision by Prof. Haoran You, incoming Assistant Professor at Purdue University. It also notes the lab’s strong research environment and publication opportunities in top AI and architecture conferences.
To apply, interested candidates should contact the PI directly at [email protected] and review the lab website for more details. No deadline is stated in the post.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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