Digital Data Storage in DNA (M/F)
New
- FTC PhD student / Offer for thesis
- 36 months
- Doctorate
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Institut de recherche en informatique et systèmes aléatoires
Contract Type
FTC PhD student / Offer for thesis
Working hHours
Full Time
Workplace
35042 RENNES
Contract Duration
36 months
Date of Hire
04/01/2027
Remuneration
2300 € gross monthly
Apply Application Deadline : 10 November 2026 23:59
Job Description
Thesis Subject
CONTEXT
The global production of digital data is growing exponentially, posing a significant challenge to available storage capacities. Despite advances in density and cost per gigabyte, conventional storage media face limitations in terms of energy efficiency, sustainability, cost, and environmental impact.
In this context, digital data storage in DNA emerges as a promising technology, particularly for long-term archiving. DNA offers an extremely high theoretical information density, on the order of 10¹⁸ bits per mm³, as well as excellent stability when stored under appropriate conditions. These properties could enable the storage of large amounts of data in a compact and durable form, with limited maintenance and energy requirements during the preservation phase.
A DNA-based storage system relies on a series of steps: (1) encoding digital data into nucleotide sequences, (2) synthesizing or constructing DNA molecules corresponding to data writing, (3) preserving the molecules, (4) retrieving the molecules containing the desired information, (5) sequencing them, corresponding to data reading, and (6) decoding the obtained sequences to reconstruct the digital data. Significant progress has been made on each of these steps over the past decade. However, their large-scale implementation still faces several scientific and technological challenges.
THESIS OBJECTIVES
These challenges cannot be addressed by a single approach: they require multiple complementary technological components, covering different stages of DNA storage.
This thesis will focus on the biotechnological aspects of molecular storage, specifically steps 2 to 5 described above. It will build on the work of the GenScale team (IRISA, Rennes) and on collaborations with the CompACT team (IRISA, Rennes), CYBERHEALTH (IMT Atlantique, Brest), and LIMMS (CNRS/Institute of Industrial Science, Tokyo).
The goal will be to develop and experimentally validate methods intended for integration into future DNA-based digital storage systems.
Your Work Environment
This thesis is part of the exploratory PEPR MoleculArXiv, a national program funded by France 2030 and led by the CNRS. Its aim is to design new devices for massive data storage on molecular media (PEPR MoleculArXiv).
The PhD student will be hosted in the GenScale team at IRISA in Rennes and will collaborate with LIMMS, the CNRS international laboratory based in Tokyo.
Constraints and risks
null
Compensation and benefits
Compensation
2300 € gross monthly
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR6074-DOMLAV-025 |
|---|---|
| CN Section(s) / Research Area | Information sciences: bases of information technology, calculations, algorithms, representations, uses |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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