Postdoctoral Researcher position in Edge AI available (deadline 08/06/2025) <b>(vacancy closed)</b>

🚀 Postdoctoral Researcher in Edge AI

Salary scale 11 according to UFO profile Researcher (€4537.00 and €6209.00 gross per month, 8.0% holiday allowance, 8.3% year-end bonus)

Duration: 24 months

Deadline: June 8, 2025

Are you passionate about pushing the boundaries of AI and Machine Learning on resource-constrained edge devices? Then apply for this two-year fully-funded 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:

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
Publish results at top-tier (international) conferences and international journals
Present the results in internal research group meetings as well as national and international scientific conferences
Actively participate in grant acquisition activities
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:

a. Algorithm compression / pruning / quantization for resource-constrained environments
b. Low-power algorithm design and optimization
c. Resource-constrained neural architecture search and (federated) continual learning techniques

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 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'.

📩 Interested?

Full job posting at the Maastricht University application portal

For enquiries, please send your CV to:
Dr. Charis Kouzinopoulos
📧 charis.kouzinopoulos@maastrichtuniversity.nl