Summary
Eric Lehmann is a Research Scientist and Engineer with over a decade of experience applying advanced signal and image processing, Bayesian modelling and sequential Monte Carlo methods to real-world environmental and acoustic problems. Based in Canberra and trained at ETH Zurich and ANU (PhD in Signal Processing), he has led high-performance algorithm development for remote sensing (optical, SAR, sonar), continental-scale forest and water-resource monitoring, seabed assessment and extreme-weather modelling at CSIRO. His work bridges theory and practice—implementing real-time, parallelised solutions for microphone arrays, speech enhancement and dynamic target tracking as well as large-scale model–data fusion for environmental mapping. Fluent in English, French and German, he pairs strong numerical and coding skills (C/C++, Matlab, R, Python, assembler) with clear communication and a knack for translating complex probabilistic methods into operational systems. Less obvious: his portfolio spans both room acoustics and continental-scale remote sensing, demonstrating rare versatility across orders of magnitude in spatial and temporal scales.
10 years of coding experience
Ph.D., Electrical Engineering (Signal Processing), Ph.D., Electrical Engineering (Signal Processing) at Australian National University
Dipl. El.-Ing. ETH, Electrical Engineering (Signal Processing), Dipl. El.-Ing. ETH, Electrical Engineering (Signal Processing) at Eidgenössische Technische Hochschule Zürich
Certificat de Maturité cantonal, scientific baccalaureate., Certificat de Maturité cantonal, scientific baccalaureate. at Lycée Cantonal Porrentruy
English, French, German