PhD Position: Robust Data Retrieval for DNA-Based Data Storage (RobDNA)

This PhD position at Inria’s Rennes Centre focuses on advancing DNA-based data storage by designing algorithms for robust data retrieval. With global data volumes projected to reach 180 zettabytes annually, traditional storage technologies struggle to scale sustainably. DNA storage offers unparalleled density, longevity, and energy efficiency, but practical implementation requires overcoming key challenges like error-prone sequencing and data reconstruction. The project will explore hybrid approaches combining constrained DNA sequences with error-correction techniques tailored for nanopore sequencing, leveraging quaternary alphabet properties and integrating compression algorithms. The work will build on non-binary channel coding and DNA-specific transcoding, aiming to enable scalable, accurate DNA data retrieval.

• Develop algorithms for robust data retrieval in DNA-based storage systems, focusing on error correction and compression.
• Design constrained DNA sequences to minimize sequencing errors while enabling efficient error correction.
• Integrate compression and error-correction mechanisms tailored for nanopore sequencing technologies.
• Explore hybrid approaches combining constrained coding and error-correction strategies.
• Leverage quaternary alphabet properties to optimize data encoding and retrieval processes.
• Collaborate with researchers to validate algorithms using nanopore sequencing data.
• Publish findings in peer-reviewed journals and present results at international conferences.