Job Description

We are excited to announce a 3-year postdoctoral position in “Trustworthy Signal Processing and Machine Learning for Next-Gen IoT.” This opportunity is perfect for ambitious signal processing researchers keen on shaping the future of IoT.

The Internet of Things (IoT) has revolutionized our world, with countless devices connecting to the internet every day, generating and collecting vast amounts of data. However, the traditional centralized model of data processing faces challenges in the IoT context, such as data volume, real-time processing needs, resource constraints, and privacy concerns.

This position aims to address these challenges by developing innovative techniques for reliable distributed learning in multiagent systems or over graphs. The research will focus on ensuring robustness against disturbances while exploring ways to safeguard data privacy and maintain overall system performance.

We seek someone with expertise in signal processing, wireless communications, optimization, and machine learning. As part of our team, you will work closely with Prof. Stefan Werner (IEEE Fellow) and other staff members. We believe in working together and supporting each other to foster creativity and innovation.

You will engage in cutting-edge research projects focusing on artificial intelligence, trustworthy decentralized inference, and innovative machine-learning techniques. This role offers an excellent opportunity to collaborate with top-tier experts at NTNU and build fruitful partnerships with international collaborators from esteemed institutions.

If this sounds interesting, we would love to hear from you. Candidates with the best qualifications will be invited for an interview. For more information, please visit:

https://www.jobbnorge.no/en/available-jobs/job/252384/postdoctoral-fellow-in-trustworthy-signal-processing-and-machine-learning-for-next-gen-iot

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