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Researcher in Next-generation Learning Techniques and Secure Data Processing for IoT/CPS Systems
2 months ago
We are seeking a highly motivated researcher to join our team at NTNU - Norges teknisk-naturvitenskapelige universitet. The successful candidate will be offered a two-year appointment as a researcher in statistical machine learning and signal processing.
The Department of Electronic Systems is a leading research institution in the field of electronic systems, and we are looking for a researcher with expertise in signal processing, wireless communications, and statistical machine learning.
The position reports to the Head of the Department of Electronic Systems, and the workplace will be Trondheim.
Key Responsibilities- Collaborate with Prof. Stefan Werner on cutting-edge research projects focusing on artificial intelligence, trustworthy decentralized inference, and innovative machine-learning techniques specifically tailored for emerging communication systems.
- Conduct research in machine learning for wireless communications, meta-learning for heterogeneous systems, networked federated learning, secure and privacy-preserving machine learning, Byzantine-resilient learning, and robust resource-efficient distributed optimization.
- Develop and implement novel machine learning algorithms and techniques for secure and privacy-preserving data processing in IoT/CPS systems.
- Contribute to the development of new research projects and initiatives within the COPS project: Comprehensive Privacy and Security in IoT/CPS.
- Hold a Norwegian doctoral degree or a foreign doctoral degree recognized as equivalent to a Norwegian PhD.
- Have a professionally relevant background in Electrical Engineering, Computer Science, Applied Mathematics, or another relevant discipline.
- Have a Ph.D. thesis related to statistical machine learning, optimization, signal processing for wireless communications, applied mathematics.
- Demonstrate substantial research experience documented with peer-reviewed scientific papers in tier-one publications (at least one IEEE transaction paper, preferably IEEE Trans. Inf. Theory, IEEE Trans. Signal Process., IEEE Trans. Wireless Commun., or similar).
- A strong interest in learning and performing the tasks of a more senior academic position.
- Excellent coding skills (MATLAB, Python).
- Strong background in wireless communications.
- Exciting and stimulating tasks in a strong international academic environment.
- An open and inclusive work environment with dedicated colleagues.
- Favourable terms in the Norwegian Public Service Pension Fund.
- Employee benefits.
