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Fatemeh Ghoreishi

1 week ago

Fully Funded PhD Positions in Machine Learning, Optimization, and Bayesian Statistics for AI Under Uncertainty Northeastern University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Multiple fully funded PhD positions are available in the research group.

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Country

United States

University

Northeastern University

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Keywords

Computer Science
Electrical Engineering
Mathematics
Artificial Intelligence
Industrial Engineering
Bayesian Statistics
Optimisation
Robotics
Statistics
Infrastructure Resilience
Programming Language
Autonomous System
ML

Suggested positions

About this position

Fatemeh Ghoreishi, Assistant Professor at Northeastern University, is advertising multiple fully funded PhD positions in her research group starting in Fall 2027.

The group works at the intersection of machine learning, optimization, and Bayesian statistics, developing AI methods for design and decision-making under uncertainty. Research applications include autonomous systems, robotics, and resilient infrastructure.

Ideal applicants should have strong programming skills and a solid foundation in mathematics and statistics. Students from engineering, computer science, applied mathematics, statistics, and related fields are encouraged to reach out.

Funding is described as fully funded. No deadline is stated in the post.

To apply, email [email protected] with your CV, transcripts, and English test scores if applicable.

Funding details

Multiple fully funded PhD positions are available in the research group.

What's required

Applicants should be motivated students with strong programming skills and a solid foundation in mathematics and statistics. Students from engineering, computer science, applied mathematics, statistics, and related fields are welcome. English test scores should be provided if applicable.

How to apply

Email the professor with your CV, transcripts, and English test scores if applicable. Include a brief expression of interest in the PhD positions and relevant background.

More information can be found here

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