Position Summary
Position:
Department:
D-ITET
Institute:
ETH Zurich
Country:
Switzerland
Research Field:
Electrical Engineering, Computer Engineering, machine learning
Posted Date:
Mar 25, 2026
Deadline:
open until filled
Offer Period:
NA
Offer Start Date:
as soon as available
Postdoc position in Smart Sensors Systems & Edge AI
Project Description:
- D-ITET Center for Project-Based Learning is a research and teaching group at ETH Zurich. The group is looking for a talented and motivated post doctoral research willing to develop the group in both teaching and research on the topics of EdgeAI, Tiny Machine Learning, Embedded System, and Autonomous Robots and Drones. The postdoc position will be hosted in D-ITET deparment. Start Date: as soon as available 2026.
- We are looking for a highly motivated postdoctoral researcher with a strong background in electrical engineering and hardware-software co-design to join our interdisciplinary research team at D-ITET Center for Project-Based Learning.
- The successful candidate will contribute to research at the intersection of embedded machine learning, signal processing, and smart sensing systems, with applications in autonomous robotics, drones, and space technologies. We are particularly looking for a highly motivated researcher with a strong interest and enthusiasm for teaching topics such as embedded systems, machine learning on microcontrollers (MCUs), and FPGA-based design, and who has a genuine passion for project-based learning and mentoring both small and large student projects.
Research Focus:
- The postdoctoral researcher will work on the design, prototyping, and validation of intelligent embedded systems that leverage novel sensors, such as:
- Event-based cameras
- Optical flow sensors
- Ultra-Wideband (UWB) for positioning and communication
- Depth camera
- Low power Radars
Key research topics include:
-
- Embedded Machine Learning (Spiking and non-spiking network) with particular enphasys on attention-based models.
- Neuromorphic computing and ML deployment on digital and neuromorphic processors
- TinyML and EdgeAI and ultra-low-power inference for resource-constrained systems
- Techniques such as quantization, pruning, knowledge distillation, and novel architectures beyond CNNs
- Real-time embedded signal processing for perception and decision-making
- While the main focus is on autonomous drones, robotics, and space applications, we are open to exploring additional application domains.
Additional Responsibilities:
- Support and contribute to teaching activities and student supervision, including PhD Students
- Assist in the coordination of lab activities
- Actively participate in the preparation of research proposals and grant applications
- Lead and co-author high-impact publications
- Event-based cameras
- Optical flow sensors
- Ultra-Wideband (UWB) for positioning and communication
- Depth camera
- Low power Radars
- Embedded Machine Learning (Spiking and non-spiking network) with particular enphasys on attention-based models.
- Neuromorphic computing and ML deployment on digital and neuromorphic processors
- TinyML and EdgeAI and ultra-low-power inference for resource-constrained systems
- Techniques such as quantization, pruning, knowledge distillation, and novel architectures beyond CNNs
- Real-time embedded signal processing for perception and decision-making
- While the main focus is on autonomous drones, robotics, and space applications, we are open to exploring additional application domains.
Required Qualification:
Essential Qualification:
- PhD in Electrical Engineering, Computer Engineering
- Deep expertise in system-level design and the ability to develop functional hardware/software prototypes.
- Strong knowledge of machine learning algorithms (including spiking networks) and compression tecniques for real-time processing on embdded platforms
- Experience in hardware-software co-design for embedded and neuromorphic platforms
- Demonstrated ability to publish in top-tier IEEE journals (e.g., IEEE IoT Journal, IEEE Sensors Journal, IEEE Transactions on circuits and systems) and/or
- top robotics and machine learning conferences (e.g. CVPR, ICRA, IROS, NeurIPS)
- A strong publication track record is essential and should clearly reflect your contributions to the field
Preferred Qualification:
- PCB design is a plus
Employment Conditions and Benefits:
Contract duration:
Not Available
Benefits:
- A dynamic, interdisciplinary research environment
- Opportunities to collaborate on cutting-edge prototypes and real-world demonstrators
- A strong academic and industrial network across robotics, embedded AI, and sensing technologies
Application Process:
Documents Required:
- CV
- Motivation letter explaining why you are the best candidate
How to apply:
- If you're passionate about designing intelligent, energy-efficient embedded systems for impactful real-world applications, we look forward to receiving your application.
- Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
About the Host Lab Group/Institution:
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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Frequently Asked Questions:
Who can apply for a postdoctoral position?
Postdoctoral positions are open to candidates who have completed a PhD or will complete their doctoral degree before the start date. Eligibility requirements may vary depending on the funding scheme and host institution.
Can international candidates apply?
Yes. Most postdoctoral positions are open to international applicants. Visa sponsorship and work permit support are usually provided by the host institution, subject to local regulations.
Is prior postdoctoral experience required?
In most cases, prior postdoctoral experience is not mandatory. However, candidates with relevant research experience beyond the PhD may be preferred for certain positions.
What is the typical duration of a postdoctoral contract?
Postdoctoral contracts typically range from six months to three years, with the possibility of extension depending on funding availability and performance.
Are teaching responsibilities included?
Teaching responsibilities vary by institution and position. Some postdoctoral roles are research-only, while others may include limited teaching or supervision duties.
Can I apply for multiple postdoctoral positions?
Yes. Candidates are encouraged to apply for multiple suitable postdoctoral positions to increase their chances of selection.
Disclaimer:
This position is published for informational purposes. Please refer to the official application link for the most accurate and up-to-date details.