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Claus Danielson

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PhD in Control Theory, Optimization, Dynamical Systems, and Machine Learning for Safe Autonomous Systems The University of New Mexico in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of New Mexico

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Keywords

Computer Science
Electrical Engineering
Mathematics
Dynamical Systems
Optimisation
Robotics
Statistics
Autonomous System
Applied Mathematic
Machine learning

About this position

Claus Danielson, Assistant Professor at The University of New Mexico, is recruiting a PhD student to join his research group.

The group works on the mathematical foundations for safe and reliable autonomous systems, with research at the intersection of control theory, dynamical systems, optimization, and machine learning. A major theme is developing rigorous, provable guarantees for learning-enabled systems, including safety, reliability, and performance guarantees for complex decision-making systems.

This opportunity is especially suitable for students who enjoy mathematics and are motivated by challenging, open-ended research problems. Strong preparation in applied mathematics, control theory, optimization, dynamical systems, or machine learning is highly desirable. The post emphasizes theory development and fundamental advances rather than simply applying existing methods.

Interested prospective PhD students should contact Claus Danielson directly at [email protected] and include a brief description of their background, research interests, and relevant coursework or research experience.

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.

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