Post-doc in Edge AI

Are you passionate about pushing the boundaries of AI and Machine Learning on resource-constrained edge devices? Then apply for this position as a post-doc researcher in Edge AI at the Department of Advanced Computing Sciences (DACS), part of the Faculty of Science and Engineering at Maastricht University. 

We are seeking a highly motivated and talented postdoctoral researcher to join our team and contribute to cutting-edge advancements in tinyML/Edge AI. The successful candidate will design, develop, and optimize AI models for deployment on autonomous, low-power, resource-constrained edge devices.

Job Description

You will conduct research on novel Machine Learning (ML) and Deep Learning (DL) architectures for low-power resource-constrained edge systems, including efficient and low-latency processing of sensor data as well as energy optimization. More specifically, you will start working on the design and implementation of ML/DL architectures, including CNNs and (vision) transformers on low-power embedded systems and MCUs, including platforms like the NXP MCX N series, STM32U5, PULP/GAP9 processors, RISC-V cores and FPGAs. You will then extend your findings with automatically designed resource-constrained neural architecture search techniques. The final goal is to develop (federated) continual learning methods for edge retraining without forgetting old knowledge.

Your tasks will include:

1. Perform scientific research on novel architectures for edge AI algorithms and state-of-the-art AI techniques for edge devices, including model compression, quantization, neural architecture search and continual learning;
2. Publish results at top-tier (international) conferences and international journals;
3. Present the results in internal research group meetings as well as national and international scientific conferences;
4. Actively participate in grant acquisition activities;
5. Assist with educational tasks (e.g., assist labs, supervise bachelor and master students, PhD students, and internships)

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 Computer Science, Electrical Engineering, Machine Learning / Deep Learning, or a related field.
• Demonstrated (e.g., through publications, code, projects, etc.) interest and experience with inference and re-training of AI and ML algorithms on edge devices
• Knowledge of at least one of the following techniques and interest in developing skills in the other two:
  1. Algorithm compression / pruning / quantization for resource-constrained environments
  2. Low-power algorithm design and optimization
  3. Resource-constrained neural architecture search and (federated) continual learning technique
• Experience in programming (Python and C/C++).
• Proficiency in English (oral and written).
• Demonstrated experience in national and/or international grant acquisition
• Excellent communication skills, and ability to collaborate in a multi-disciplinary and team-oriented research environment

What we offer
As Post-doc in Edge AI 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 €4537,00 and €6209,00 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 24 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 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. Charis Kouzinopoulos (charis.kouzinopoulos@maastrichtuniversity.nl) for more information.

Applying?
Or are you already convinced and ready to become our new Post-doc in Edge AI? Apply now, no later than June 8, 2025 for this position.
 

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.