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Gabriel Renaud

5 days ago

Fully Funded PhD in Pangenomic Graphs, Ancient and Environmental DNA at Université Laval Université Laval in Canada

I am recruiting a fully funded PhD student in pangenomic graphs, ancient and environmental DNA at Université Laval.

Keywords

Computer Science
Biology
Mathematics
Data Structures
Computational Biology
Next-generation Sequencing
Statistics
Bioinformatics
Metagenomics
Algorithms

Description

The Modern and Ancient Genomes Group at Université Laval in Québec City, Canada, is recruiting a fully funded PhD student to work on pangenomes, ancient DNA (aDNA), and environmental DNA (eDNA). The research focuses on developing algorithms and computational methods to analyze large datasets from both modern and ancient sources, with a particular emphasis on bioinformatics, statistical modeling, and computational biology. The group is headed by Associate Professor Gabriel Renaud and is located within the Department of Computer Science and Software Engineering, with options to graduate from the Department of Biochemistry, Microbiology, and Bioinformatics. Research topics include pangenomic graphs, high-performance computing, metagenomics, next-generation sequencing (NGS), and data structures. The group has a strong interdisciplinary and collegial environment, collaborating with partners in Europe and North America to advance algorithms and software for DNA extraction from fossils, ancient soils, and sediments. The research addresses challenges such as DNA fragmentation and chemical damage in ancient samples, leveraging computer science techniques and maximum-likelihood frameworks. Applicants should have a strong background in programming (Python, Perl, C++ and/or Java), UNIX environments, algorithms, data structures, probabilities, statistics, differential calculus, and linear algebra. Experience in bioinformatics, metagenomics, and NGS data is advantageous but not required. Candidates must hold a Master's (or equivalent) and a B.Sc degree in computer science, quantitative biology/biochemistry, or mathematics, and be able to communicate effectively in English. The PhD position is fully funded for 4 years, with progression scholarships totaling $12,000 and additional scholarships available for both Canadian and international students. International students may benefit from a tuition fee exemption, saving approximately $45,000. The research group works primarily in English, and Université Laval offers a vibrant research environment in a city known for its quality of life and outdoor opportunities. To apply, candidates must submit a cover letter, CV with publications, and transcripts as a single PDF file by January 20, 2026. Applications are encouraged from all backgrounds, with a special emphasis on women and Indigenous applicants. For more details, visit the project page or contact Prof. Gabriel Renaud.

Funding

The PhD position is fully funded for 4 years. Progression scholarships total $12,000. Additional scholarships include Leadership and Commitment ($30,000 for Canadians/permanent residents), Citizens of the World ($30,000 for international students), mobility grants ($1,500–$3,000), and graduate scholarships from agencies ($25,000–$40,000). International students may receive a tuition fee exemption, saving around $45,000. Funding is subject to academic approval and conditions may apply.

How to apply

Prepare a cover letter, CV with publications, and transcripts. Combine all documents into one PDF file. Submit your application by email in English before January 20, 2026. Follow the link provided for further details and submission instructions.

Requirements

Applicants should have a Master's (or equivalent) and a B.Sc degree in computer science, quantitative biology/biochemistry, or mathematics. Strong programming skills in Python, Perl, C++ and/or Java (C/C++ preferred) are required. Experience in UNIX and high-performance computing environments is desirable. A thorough understanding of basic algorithms, data structures, probabilities, statistics, differential calculus, and linear algebra is expected. Experience in bioinformatics, metagenomics, and next-generation sequencing data is a plus but not mandatory. Applicants must be able to communicate effectively in English, both orally and in writing. Required documents include a cover letter, CV with publications, and transcripts, submitted as one PDF file.

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