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University of Luxembourg

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Fully Funded PhD in Machine Learning and Signal Processing at University of Luxembourg University of Luxembourg in Luxembourg

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Deep Learning
Mathematics
Artificial Intelligence
Wireless Communication
Computer Vision
Optimisation
Statistics
Machine learning

About this position

A fully funded PhD position is available at the University of Luxembourg in Machine Learning and Signal Processing.

The project sits at the intersection of machine learning, signal processing, optimization, intelligent systems, and applications in next-generation communication networks and data-driven technologies. Research directions may include deep learning, artificial intelligence, statistical learning, wireless communications, intelligent sensing, computer vision, and data analytics.

This opportunity is well suited to candidates with backgrounds in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence, Machine Learning, Signal Processing, Mathematics, or related areas.

Eligibility highlights: a Master’s degree or equivalent, strong mathematical and programming skills, experience with Python, MATLAB, or similar scientific computing tools, interest in ML/AI research, and good written and spoken English.

Funding: fully funded PhD position, competitive salary as a university employee, full social security and employment benefits, access to research facilities, and opportunities for international collaboration and conference participation.

Location: Luxembourg.

How to apply: use the official University of Luxembourg careers portal via the provided application link. No deadline was stated in the post.

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.

More information can be found here

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