Postdoctoral Researcher- Embedded ML and Smart Sensors

IT U; Österreich; Remote; EUR 60 000 - 80 000; Vollzeit

Zusammenfassung

A leading university in Austria seeks a Postdoctoral Researcher in Embedded ML and Smart Sensors. The role includes contributing to innovative research in machine learning and signal processing, supervising students, and publishing in top-tier journals. Enjoy a collaborative academic environment with competitive compensation and flexible working hours.

Leistungen

Flexible working hours

Climate Ticket Austria for transport

Interdisciplinary research environment

Free parking

State of the art infrastructure

Qualifikationen

• Strong publication track record in top-tier IEEE journals.
• Experience in hardware-software co-design for embedded platforms.
• Deep expertise in ML algorithms and compression techniques.

Aufgaben

• Support and contribute to teaching activities and student supervision.
• Assist in the coordination of lab activities.
• Lead and co-author high-impact publications.

Kenntnisse

Machine Learning algorithms

System-level design

Signal processing

Ausbildung

PhD in Electrical Engineering or related field

Tools

PCB design

Jobbeschreibung

#TRANSFORMINGTOMORROW: MAKE A DIFFERENCE WITH US.

IT:U is Austria‘s first public interdisciplinary university dedicated to digital transformation for the benefit of our society, economy and environment. Join us as a

Postdoctoral Researcher Embedded ML and Smart Sensors*

and contribute to cutting edge research combining embedded machine learning, signal processing, and smart sensing systems, with applications in autonomous robotics, drones, and space technologies.

Key research topics include:

• Embedded ML (Spiking and non-spiking network) with particular emphasis 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

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

Your background:

• PhD in Electrical Engineering, Computer Engineering, or a related field
• Deep expertise in system-level design and the ability to develop functional hardware/software prototypes (PCB design is a plus)
• Strong knowledge of ML algorithms (including spiking networks) and compression techniques for real-time processing on embedded platforms
• Experience in hardware-software co-design for embedded and neuromorphic platforms
• Demonstrated ability to publish in top-tier IEEE journals and conferences (e.g., IEEE IoT Jorunal, IEEE Sensors Jorunal, CVPR, ICRA, IROS, NeurIPS, etc.)
• A strong publication track record is essential and should reflect your contributions to the field

What you can expect:

• Opportunity to collaborate on cutting edge prototypes and real-world demonstrators
• Strong academic and industrial network across robotics, embedded AI, and sensing technologies
• Unique opportunity to help build a new university
• Interdisciplinary research environment and state of the art infrastructure
• Free parking or Climate Ticket Austria (excellent public transport connection)
• Flexible working hours through a flextime model and the option for home office

Please Apply

Competitive compensation starting from €4.239,90 monthly gross salary, with the possibility of overpayment based on qualifications and experience.

Contact Email: [e-mail]

We look forward to receiving your online application, including your CV and cover letter.

*come as you are –we value and promote diversity in our team. Everyone is encouraged to realize their full potential, realize ideas and seize opportunities. Regardless of age, skin colour, religion, gender, sexual orientation or origin, we welcome applications from all people equally.