UOK
Predoctoral University Assistant
✓ Funded (Competition)
⏰ Closing Soon
🎓 Communications Engineering
🎓 Computer Engineering
🎓 Electrical Engineering
machine learning
robotics
6G
IoT
embedded systems
information theory
power line communications
signal processing
wireless communications
Fully funded predoctoral PhD assistantship at University of Klagenfurt focusing on machine learning, communications systems, and embedded systems. Research spans wireless communication, signal processing, IoT, and AI applications in engineering systems.
Project Description
This predoctoral university assistant position at University of Klagenfurt is part of the Embedded Communication Systems Group led by Prof. Andrea Tonello.
The research covers a broad range of topics including machine learning, wireless communications, signal processing, power line communications, and embedded electronic systems. The project is flexible and will be tailored to the candidate’s background and interests.
Key research directions include:
Machine learning applied to communication, energy, biomedical, and vision systems
Wireless and power line communication systems
Signal processing, sensing, and information theory
Embedded systems, IoT, robotics, and smart systems
The position combines independent doctoral research with teaching duties, student mentoring, and departmental support activities. The group actively publishes in top venues including IEEE journals and leading ML conferences such as NeurIPS, ICML, and ICLR.
The environment is highly international and research-intensive, with strong industry and academic collaborations.
Entry Requirements
Applicants must have:
A Master’s degree (or equivalent) in Electrical Engineering, Computer Engineering, Communications Engineering, Informatics, or related field
Strong background in:
Machine learning, signal processing, communications theory, or control systems
Solid mathematical foundation (engineering mathematics + statistics)
Programming skills (Python, MATLAB, C/C++, or similar tools)
Ability to clearly present technical ideas in English
Desirable:
German language skills
Prior research experience or publications
International academic exposure
A Master’s degree (or equivalent) in Electrical Engineering, Computer Engineering, Communications Engineering, Informatics, or related field
Strong background in:
Machine learning, signal processing, communications theory, or control systems
Solid mathematical foundation (engineering mathematics + statistics)
Programming skills (Python, MATLAB, C/C++, or similar tools)
Ability to clearly present technical ideas in English
Desirable:
German language skills
Prior research experience or publications
International academic exposure
How to Apply
Apply via the official University of Klagenfurt job portal:
https://jobs.aau.at/en/job/7-2/
Reference code: 129/25
Required documents typically include:
CV
Academic transcripts
Proof of Master’s degree (or completion timeline)
Supporting documents as specified in application portal
https://jobs.aau.at/en/job/7-2/
Reference code: 129/25
Required documents typically include:
CV
Academic transcripts
Proof of Master’s degree (or completion timeline)
Supporting documents as specified in application portal
Eligibility
UK/Home
EU
International
Supervisor Profile
PA
Prof. Andrea Tonello
University of Klagenfurt, Department of Networked and Embedded Systems, Faculty of Technical Sciences
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