Post-Doctoral Researcher in Machine Learning: Join Maastricht University’s Department of Advanced Computing Sciences (DACS) as a Post-Doctoral Researcher specializing in advancing signal decomposition methods utilizing artificial neural networks and tensor-based techniques.
Post-Doctoral Researcher in Machine Learning-based Signal Decomposition
Designation: Post-Doctoral Researcher in Machine Learning-based Signal Decomposition
Research Area: Systems and Control
Location: Maastricht University, Netherlands
Eligibility/Qualification:
- PhD in Signal Processing, Machine Learning, Applied Mathematics, or related field
- Demonstrated experience in signal processing, machine learning, and/or tensor decomposition
- Proficiency in programming (Python, Matlab)
- Excellent communication skills and the ability to work in a team
Job Description:
As a Post-Doctoral Researcher, you will:
- Conduct research on data-driven signal decomposition
- Advance traditional signal decomposition techniques integrating deep learning and tensor-based methods
- Develop methods for decomposing univariate and multivariate signals
- Present results at conferences and in journals
- Assist with educational tasks and collaborate within the Systems and Control research group
How to Apply:
Interested applicants should apply no later than October 20, 2024, for this academic position. Please upload your CV, motivation letter, grade list, and contact details of 2 referees. Internal candidates will be given priority in the selection process.
Last Date for Application: October 20, 2024
