项目介绍

2025年5月15日

Are you passionate about uncovering patterns hidden in complex signals? Do you want to explore new ways to visualize, interpret, and understand time-series data in fields like health, audio, and biomedical engineering?

Then join our research team at the Department of Advanced Computing Sciences (DACS) and help develop innovative signal embedding and decomposition methods that reveal the inner workings of dynamical systems.

Job Description:
We are looking for a creative and curious PhD candidate to explore novel approaches for analyzing and visualizing complex signals. You will help develop new methods that transform how we work with data from biomedical devices, audio recordings, or industrial sensors. These signals often contain subtle patterns or irregularities, and your research will focus on uncovering them through smart mathematical techniques.

You will be part of a supportive and experienced research team that brings together expertise in signal processing, mathematical modeling, and systems analysis. Together, we will study how to embed signals in ways that help us identify structure, dynamics, and meaningful patterns, especially when the data is noisy, incomplete, or nonlinear.

What you will do:

• Investigate new ways to embed and visualize time-series signals
• Explore how different mathematical tools, including recurrence analysis and tensor-based methods, can help uncover patterns in multiscale or incomplete data
• Contribute to applications such as audio classification, health signal analysis, or predictive maintenance
• Collaborate on the development of open tools and visualizations to support reproducible research
• Present your work at leading conferences and publish in international journals
• Supervise and mentor BSc and MSc students on related topics
• Support teaching activities in foundational courses such as Linear Algebra and Numerical Methods

Requirements:

• A master’s degree in Applied Mathematics, Mathematical or Electrical Engineering, Artificial Intelligence, or a closely related field.
• Background in at least two of the following fields: signal processing, numerical linear algebra, optimization, or machine learning, and motivation to develop further in the others.
• Strong analytical and problem-solving skills.
• Experience with programming, preferably in Matlab or Python.
• Good communication skills and proficiency in English (oral and written).
• A collaborative mindset and the ability to work independently. 
   

What we offer
As PhD Candidate 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 P according to UFO profile PhD Candidate, with corresponding salary based on experience ranging from €2901,00 and €3707,00 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. Upon a positive evaluation, an extension of 3 years will follow. 
• 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 to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM. 

Faculty of Science and Engineering  
At the Faculty of Science and Engineering (FSE), we focus on themes such as circularity and sustainability, future farming, digitisation and (scientific) instrument development.  FSE’s leading projects, like the Einstein Telescope Pathfinder, are sure to grab anyone’s attention.  The faculty is a vibrant hub of education and research in Science, Technology, Engineering, and Mathematics (STEM) and Liberal Arts and Sciences (LAS).  At FSE, over 450 staff members and 3700 students gather to explore e exciting interdisciplinary research and educational programmes. Feel welcome, be part of our team and put your brilliant mind to work!  
 

FSE at the Brightlands Campuses  
Maastricht, Sittard-Geleen, Heerlen, and Venlo, the home of four creative Brightlands campuses, are bustling with 30,000 entrepreneurs, researchers, and students working diligently to solve global challenges. The Faculty of Science and Engineering is active on all four Brightlands campuses, and this is where our impact reaches its peak. To give you an idea of what is happening at each campus: Sittard-Geleen is home to the largest chemical site in the Euregion, while Venlo is a large hub for agri-food innovation. Maastricht is the site of the Health Campus, and Heerlen is the place to be for Smart Services.  
 

Department of Advanced Computing Sciences
The Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics.  
Over 100 researchers work and study in the Department of Advanced Computing Sciences, whose roots trace back to 1987. The department’s staff teaches approximately 1250 bachelor’s and master’s students in 4 specialized study programmes in Data Science and Artificial Intelligence. Click here for more information.

Curious?
Are you interested in this exciting position but still have questions? Feel free to contact Dr. ir. Martijn Boussé (m.bousse@maastrichtuniversity.nl)  or Dr. ir. Philippe Dreesen (philippe.dreesen@maastrichtuniversity.nl) for additional information about the position or the research direction.

Applying?
Or are you already convinced and ready to become our new PhD Candidate? Apply now, no later than 19 August 2025, for this position.
 

Please upload your CV, Grade list and motivation letter.

Structure your motivation letter as a research statement (max. 500 words), including an answer to the following questions:

• How would you shape this project (project plan/approach)? 
• How does it connect to your previous work or interests?
• What are your ambitions and/or goals with this PhD?

Please note that the first round of interviews will take place in the week of 25 – 29 August 2025 (online) and the second round in the week of 1 – 5 September 2025 (in Maastricht). 

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.