Publisher
source

University of Maryland at College Park

PhD, MS, and Postdoc Positions in Industrial Artificial Intelligence and Machine Learning at University of Maryland University of Maryland, College Park in United States

Degree Level

Master's, PhD, Postdoc

Field of study

Computer Science

Funding

No explicit funding details are provided. The announcement does not specify whether the positions are fully funded, partially funded, or self-funded, nor does it mention stipend amounts or tuition coverage.

Deadline

Expired

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Country

United States

University

University of Maryland at College Park

Suggested positions

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Jay Lee

University of Maryland

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United States

University of Maryland, College Park is recruiting for Fall 2027 for PhD, MS, and postdoctoral research opportunities in the Industrial Artificial Intelligence Center . The center, led by Jay Lee , focuses on Industrial Artificial Intelligence and the broader intersection of Computer Science , Industrial Engineering , Mechanical Engineering , Electrical Engineering , and related applied AI fields. Research themes highlighted in the post include Industrial Physical AI , Domain Foundation Models ,...

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University of Texas at San Antonio

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United States

Postdoctoral Research in AI/ML for Engineering Applications at the University of Texas San Antonio (UTSA), United States. This postdoctoral opening is in NASA-funded research at the Institute of Scientific Research of Air Pollution, focusing on AI, Machine Learning, Large Language Models (LLMs), and Scientific Machine Learning for engineering applications. Relevant study areas include Computer Science, Mechanical Engineering, Aerospace Engineering, and related fields. Strong programming skills i...

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Syracuse University

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United States

Two fully funded openings are available in Robotics and AI for construction at Syracuse University , in the Lab of Dr. Yizhi Liu within Civil & Environmental Engineering. The positions can be filled by two PhD students or by one PhD student and one postdoc . The research focuses on developing and evaluating intelligent robots that can perceive, learn, and interact with humans in dynamic, unstructured construction environments . The work spans the full research pipeline: AI/robotics algorithm dev...

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4 weeks ago

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Shaif Chowdhury

Texas A&M University Kingsville

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United States

Reposting: a fully funded PhD position is still open for Fall 2026 at Texas A&M University–Kingsville in the PhD in Engineering Program . The project is centered on AI , Machine Learning , Computer Vision , and Contrastive Learning . This is a strong fit for applicants interested in modern intelligent systems, visual learning, and data-driven engineering research. Applicants should have an MS degree in Computer Science , Engineering , AI/ML , or a related field. The post is from Shaif Chowdhury ...

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5 months ago

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Sayan Mitra

University of Illinois at Urbana-Champaign

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United States

Sayan Mitra, Professor at the University of Illinois at Urbana-Champaign, is recruiting PhD students and postdocs for Spring and Fall 2027. The lab’s research interests include agile aerial autonomy, information bottlenecks in robotics, and certified visual reasoning. These topics are well suited for applicants with backgrounds in robotics, computer science, electrical engineering, aerospace engineering, and mathematically strong preparation. Interested PhD applicants should apply to the Illinoi...

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Posted Yesterday

Keywords

Computer Science
Machine Learning
Mechanical Engineering
Electrical Engineering
Aerospace Engineering
Artificial Intelligence
Transport
Manufacturing Engineering
Transfer Learning
Domain Adaptation
Multi-task Learning
Continual Learning
Large Language Models

About this position

The Industrial Artificial Intelligence (IAI) Center at the University of Maryland, College Park, is recruiting 20 highly motivated MS, PhD students, and Postdoctoral Researchers for Spring and Fall 2026. The IAI Center, as part of its AI Factory initiative, is building a world-class research team focused on applying artificial intelligence to solve real industrial challenges. The research group is particularly interested in candidates with expertise in machine learning, large language models, and interdisciplinary engineering applications, especially those eager to work with real-world industrial data from sectors such as semiconductors, aerospace, electronics, manufacturing, and transportation.

Research at the IAI Center covers a range of advanced machine learning topics, including transfer learning, domain adaptation, federated learning, multi-modal learning, continual learning (Stream-of-X), agentic AI, image-based foundation models, and industrial large knowledge models. The center collaborates closely with leading industries in semiconductor, aerospace, automotive, transportation, and energy systems to ensure that research outcomes have meaningful theoretical and practical impacts.

The positions are open to MS, PhD, and postdoctoral candidates who are passionate about industrial AI and its applications. Applicants should have a strong background in machine learning, large language models, or interdisciplinary engineering, and experience with industrial data is highly valued. The announcement does not specify detailed entry requirements, funding details, or stipend information.

To apply, interested candidates should visit the IAI Center website (www.iaicenter.com) for more information and email Professor Jay Lee, CC'ing [email protected], with the subject line 'Join IAI Center:' followed by the position of interest. The IAI Center is located in the Jeong H. Kim Engineering Building at the University of Maryland, College Park.

Funding details

No explicit funding details are provided. The announcement does not specify whether the positions are fully funded, partially funded, or self-funded, nor does it mention stipend amounts or tuition coverage.

What's required

Applicants should be highly motivated and have expertise in machine learning, large language models, or interdisciplinary engineering applications. Experience with real-world industrial data from sectors such as semiconductors, aerospace, electronics, manufacturing, or transportation is preferred. No specific degree, GPA, or language test requirements are mentioned, but positions are open for MS, PhD, and postdoctoral candidates.

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Professors

Professor

University Name
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United States

Research Interests

Industrial Automation

Hardware Engineering

Machine Learning

Manufacturing Engineering

Industrial Application