PhD Thesis - Short Error-Correcting Codes for Reliable DNA-Based Data Storage
A doctoral research position focusing on short error-correcting codes to enhance DNA-based data storage reliability.
Best for:Best for computer science or applied mathematics graduates with a strong interest in coding theory and data storage technologies.
Overview
This doctoral position offers an opportunity to conduct research in computer science, specifically focusing on error-correcting codes for DNA data storage systems. The candidate will work on developing novel encoding and decoding strategies to ensure reliable data retention within biological substrates. The project is hosted in France under a doctoral contract framework. Applicants are expected to contribute actively to academic research, method development, and scholarly publications.
What you'll do
- Conduct independent and collaborative research on error-correcting codes for DNA storage systems
- Design, implement, and evaluate novel algorithms for reliable data encoding and decoding
- Analyze experimental performance data and refine computational models
- Prepare research findings for publication in peer-reviewed journals and conferences
- Participate in laboratory meetings, academic workshops, and scientific conferences
Requirements
Degree required: Master's degree in Computer Science, Applied Mathematics, or a related discipline
Degree offered: PhD
Language: English; proficiency required for academic communication and publication
Instruction: English
- Strong background in coding theory or error-correcting codes
- Proficiency in programming languages such as Python, C, or C++
- Analytical and problem-solving skills for algorithmic design
- Ability to read, write, and communicate effectively in an academic environment
- Applicants must hold a qualifying master's degree or equivalent prior to the start of the contract
Funding & terms
How to apply
Deadline: 2026-11-18
Interested candidates should submit their application materials through the designated portal before the specified deadline. Ensure all required academic documents and identification details are included in the submission.
- CV
- Cover letter
- Master's transcripts
Contact
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