Post-doctoral Researcher in Machine Learning-based
2 maanden geleden
The position is embedded in the Systems and Control research group of DACS.
You will conduct research on data-driven decomposition of signals. More specifically, you will work on advancing the theoretical background of traditional techniques, and integrating those with both deep learning frameworks and tensor-based decomposition approaches. You will start by working on developing methods for decomposing univariate signals, followed by extending your findings to methods for decomposing multivariate signals. The final goal is to develop new flexible and versatile methods for decomposition of (multivariate) signals in physically meaningful components.
Your tasks will include:
- Perform scientific research in machine learning-based data-driven signal decomposition;
- Publish results at top-tier (international) conferences and in international journals;
- Present the results in internal research group meetings as well as national and international scientific conferences;
- Assist with educational tasks (e.g., assist labs, supervise bachelor and master students, PhD students, and internships);
- Participate actively in the activities of the Systems and Control research group such as grant acquisition and event organization.
We encourage collaboration and you will also benefit from a supportive local research community as well as a strong industry and research network.
**Requirements**:
- PhD (completed, or to be completed shortly) in Signal Processing, Machine Learning / Deep Learning, Applied Mathematics, Artificial Intelligence, or a related field.
- Demonstrated (e.g., through publications, code, projects, etc.) interest and experience with the field of signal processing, and at least one of the following fields: signal decomposition, machine learning / deep learning, tensor decomposition.
- Knowledge of at least one of the following techniques and interest in developing skills in the other two:
- Traditional decomposition techniques like Empirical Mode or Variational Mode Decomposition, Wavelet Decomposition, Principal and Independent Component Analysis.
- Machine learning and deep learning frameworks.
- Tensor-based methods for signal processing or machine learning decomposition (e.g., canonical polyadic decomposition, multilinear singular value decomposition, and tensor trains).
- Experience in programming (preferably in Python and Matlab).
- Proficiency in English (oral and written).
- Excellent communication skills, and ability to collaborate in a multi-disciplinary and team-oriented research environment.
**What we offer**
**As **post-doctoral researcher** **at **Faculty of Science & Engineering**, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you**:
- Good employment conditions. The position is graded in scale 11 according to UFO profile Researcher, with corresponding salary based on experience ranging from €4492,00 and €6148,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
- An employment contract for a period of 12 months with a scope of 1,0 FTE.
- At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.
- As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.
- Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'.
The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.
**Maastricht University**
Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research
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