PostDoc Learned Data Compression

Job description

Future. Discover. Together. Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be part of change: - Conception of novel stochastic source coding techniques based on channel simulation - Development of numerical Python code for evaluation - Optimization and refinement of these techniques in collaboration with a team of engineers - Collaboration on publicly funded projects - Publication of research papers and patents - Travel to international conferences, participation in the academic community - Advising of student researchers What you contribute: - Ph.D. in Electrical and Computer Engineering, Computer Science or related program - Background in Information Theory, ideally with significant prior publications in the field - Specialization in Channel Simulation, Source Coding, Polarization - Experience with scientific Python programming - Native or very good English com...