Haozhe Wang
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Postdoc and PhD openings in AI for Science at Duke ECE: autonomous labs and LLMs for scientific discovery Duke University in United States
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
The post does not specify stipend, salary, tuition coverage, or whether the positions are fully funded, but it presents two openings in the Wang Lab at Duke ECE with access to real instruments, real compute, and real problems.
Country
United States
University
Duke University

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About this position
Two openings are available in the Wang Lab at Duke ECE, led by Assistant Professor Haozhe Wang, in the broad area of AI for Science.
Postdoc opening: immediate start for research on autonomous/self-driving labs, including automated synthesis and characterization of semiconductors, closed-loop experimentation, and robotic platforms.
PhD opening: for Spring/Fall 2027, focused on large language models for scientific discovery, especially post-training methods such as reinforcement learning, fine-tuning, and agentic systems.
The group emphasizes hands-on research with real instruments, real compute, and real-world scientific problems, and notes close collaboration with AI frontier labs.
Keywords: AI for Science, semiconductor synthesis, characterization, autonomous labs, robotics, LLMs, reinforcement learning, fine-tuning, agentic systems.
How to apply: Email [email protected] with your CV and a brief statement of interest. Reposts are welcomed.
Funding details
The post does not specify stipend, salary, tuition coverage, or whether the positions are fully funded, but it presents two openings in the Wang Lab at Duke ECE with access to real instruments, real compute, and real problems.
What's required
Postdoc applicants should be ready for an immediate start and have interest in autonomous/self-driving labs, automated synthesis and characterization of semiconductors, closed-loop experimentation, and robotic platforms. PhD applicants are for Spring/Fall 2027 and should be interested in large language models for scientific discovery, especially post-training methods such as reinforcement learning, fine-tuning, and agentic systems. The post does not list formal degree, GPA, or test requirements.
How to apply
Email [email protected] with your CV and a brief statement of interest. Mention whether you are applying for the postdoc or PhD opening.
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