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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.

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Country

United States

University

Duke University

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Keywords

Computer Science
Electrical Engineering
Materials Science
Reinforcement Learning
Robotics
Scientific Discovery
Physics
Large Language Models

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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.

More information can be found here

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