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Haoqing Li

4 days ago

Fully Funded PhD in Robust Inference for Sensing Systems Constructor University in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position.

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Country

Germany

University

Constructor University

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Deep Learning
Remote Sensing
Mathematics
Image Processing
Estimation Theory
Robust Statistics
Applied Mathematic

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About this position

Constructor University in Bremen, Germany is advertising a fully funded PhD position in Robust Inference for Sensing Systems with Prof. Dr. Haoqing Li in Electrical and Computer Engineering.

The project focuses on challenging inference problems in sensing environments where standard methods may fail. Research directions include Bayesian filtering, deep learning, statistical machine learning, and robust statistics.

Possible application areas include GNSS signal processing (interference detection and mitigation, model mismatch analysis and mitigation), image processing for spaceborne remote sensing (cloud and shadow mitigation), and other sensing systems such as wearables.

Applicants should have, or be close to completing, a Master’s degree in Electrical Engineering, Signal Processing, Geomatics, or a closely related field. A strong background in signal processing, estimation, probability, or applied mathematics is expected. Experience with GNSS, Bayesian filtering, robust statistics, machine learning, or remote sensing is an advantage. Good programming skills in MATLAB and Python are desirable.

The position starts as soon as possible and applications are reviewed on a rolling basis until filled. To apply, email your CV, motivation letter, transcripts, a representative publication or Master’s thesis if available, and contact details for two referees to [email protected] with the subject line PhD Application.

Funding details

Fully funded PhD position.

What's required

Applicants should have or be close to completing a Master’s degree in Electrical Engineering, Signal Processing, Geomatics, or a closely related field. A strong background in signal processing, estimation, probability, or applied mathematics is expected. Experience with GNSS, Bayesian filtering, robust statistics, machine learning, or remote sensing is an advantage. Good programming skills in MATLAB and Python are desirable.

How to apply

Email your CV, brief motivation letter, Bachelor’s and Master’s transcripts, a representative publication or Master’s thesis if available, and contact information for two referees to [email protected] with the subject line “PhD Application”. Applications are reviewed on a rolling basis until the position is filled.

More information can be found here

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