Erik Sausa
@eriksausa
I build RF signal-processing and Bayesian tracking systems from SDR data.
What I'm looking for
I've developed distributed Bayesian target-tracking methods at TU Wien, including Likelihood Consensus 2.0, reducing inter-agent communication overhead by approximately 190× while maintaining centralized-grade posterior accuracy. This work led to publications in Elsevier Signal Processing and IEEE ICASSP.
I've also built a 1090 MHz ADS-B SDR receiver pipeline and implemented 5G physical-layer feedback and Doppler compensation for the Vienna 5G Link/System Level Simulator using MATLAB and C++.
I combine RF and digital baseband engineering with Bayesian inference, technical reporting, client relations, operations management, and multilingual team leadership.
Experience
Work history, roles, and key accomplishments
Operations & Business Management Lead
Private / Family Business
Jan 2024 - Present (2 years 7 months)
Directed daily business operations, team scheduling, and resource allocation; served as primary client contact, negotiating contracts and overseeing operational execution. Managed operational budgets, vendor negotiations, and administrative workflows.
Master's Thesis Student
TU Wien
Jan 2022 - Jan 2024 (2 years)
Developed a Dirichlet Process Mixture Model to cluster latent data structures and filter noise without hardcoding cluster count K; derived custom Gibbs samplers for accelerated posterior convergence and dynamic anomaly detection.
Project Assistant / Research Assistant
TU Wien
Jan 2020 - Dec 2023 (3 years 11 months)
Co-developed Likelihood Consensus 2.0, a decentralized Bayesian target-tracking framework reducing inter-agent communication overhead by ~190x while maintaining centralized-grade posterior accuracy. Engineered localized O(D) coefficient surfaces for real-time fusion and taught undergraduate and graduate lab sessions in Digital Communications.
Research Assistant / Developer
TU Wien
Jan 2019 - Dec 2020 (1 year 11 months)
Implemented physical-layer channel state feedback (CQI, PMI, RI) and Doppler spread compensation for the open-source Vienna 5G Link/System Level Simulator in OOP MATLAB/C++, benchmarking against 3GPP NR standards.
Bachelor's Thesis Student
TU Wien
Jan 2018 - Jan 2019 (1 year)
Built a MATLAB/C++ software receiver processing 2Msps raw I/Q streams; implemented preamble correlation, PPM bit slicing, DC cancellation, and CRC24 verification. Characterized frontend matching and filter responses via VNA/VSA; modeled antenna gain, cascaded Noise Figure propagation, and receiver dynamic range.
Education
Degrees, certifications, and relevant coursework
TU Wien
Diplom-Ingenieur, Telecommunications
Grade: Highest Distinction
Graduated with Highest Distinction in Telecommunications. Completed coursework at ETH Zürich.
ETH Zürich
Electrical Engineering and Information Technology
2014 - 2015
Studied Electrical Engineering and Information Technology.
TU Wien
Bachelor of Science, Electrical Engineering and Information Technology
Completed Bachelor of Science in Electrical Engineering and Information Technology.
Availability
Location
Authorized to work in
Job categories
Skills
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