Research Associate* in Machine Learning Aided Data Compression and Communication
Core
Conduct original research on novel data compression and communication methods using information theory and deep learning.
Role type
Postdoctoral Research Associate (Machine Learning & Information Theory)
Builds
Research publications and conference presentations
Domain
Academic research in machine learning, information theory, and communication systems
Deliverable
research
Required skills
[PhD in mathematics/engineering], [optimization and signal processing], [information and coding theory], [communication systems], [deep neural network design], [algorithm implementation via simulation], [Python or C/C++ programming], [machine learning theory], [generative models], [inverse problems], [compression methods]
Preferred skills
[publication record in refereed journals], [research methods and statistical procedures]
Technologies
[Python], [C/C++]
Responsibilities
[Plan research initiatives], [Undertake original research], [Ensure data validity and reliability], [Maintain research records], [Write reports for sponsors], [Present findings at conferences], [Submit publications to refereed journals]
Seniority
Postdoctoral, hands-on IC
