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Gabriel Renaud

1 week ago

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

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

Keywords

Computer Science
Biology
Mathematics
Data Structures
Computational Biology
Statistics
Bioinformatics
Metagenomics
Algorithms
High-performance Computer

Description

The Modern and Ancient Genomes Group at Université Laval in Québec City, Canada, is seeking a fully funded PhD student to join their research on pangenomic graphs, ancient and environmental DNA, and computational biology. The group, led by Professor Gabriel Renaud, focuses on developing algorithms and computational methods to analyze large datasets from both modern and ancient sources, addressing challenges such as DNA fragmentation and chemical damage in ancient samples. Research areas include bioinformatics, high-performance computing, metagenomics, next-generation sequencing, statistical modeling, and data structures. The successful candidate will collaborate with partners in Europe and North America to develop next-generation algorithms and software for DNA extraction from fossils, ancient soils, and sediments. The group is based in the Department of Computer Science and Software Engineering, with options to graduate from the Department of Biochemistry, Microbiology, and Bioinformatics. The research environment is interdisciplinary and collegial, and the primary working language is English, although French is the institutional language. Applicants should have a strong background in computer science, quantitative biology, biochemistry, mathematics, or related fields, with solid programming skills (preferably C/C++), experience in UNIX and high-performance computing, and a thorough understanding of algorithms, data structures, probabilities, and statistics. Knowledge of differential calculus and linear algebra is required. Experience in bioinformatics, metagenomics, and next-generation sequencing is advantageous but not mandatory. Proficiency in English is essential. The PhD position is fully funded for four years, with financial aid including progression scholarships, leadership and commitment scholarships, mobility grants, graduate scholarships from granting agencies, and tuition fee exemptions for international students. The total funding package can include up to $30,000 for Canadians or international students, mobility grants of $1,500–$3,000, and additional scholarships ranging from $25,000 to $40,000. International students benefit from a tuition fee exemption, saving approximately $45,000. To apply, candidates must submit a single PDF containing a cover letter, CV with publications, and transcripts by January 20, 2026, to Professor Gabriel Renaud at [email protected]. The group encourages applications from all backgrounds, especially women and Indigenous applicants. Québec City offers an excellent quality of life and outstanding outdoor opportunities, making it an attractive location for graduate studies.

Funding

The PhD position is fully funded for 4 years. Financial aid includes progression scholarships totaling $12,000, leadership and commitment scholarships ($30,000 for Canadians/permanent residents or international students), mobility grants ($1,500–$3,000), graduate scholarships from granting agencies ($25,000–$40,000), and tuition fee exemption for international students (savings of ~$45,000). Funding is subject to academic approval and may vary based on eligibility.

How to apply

Prepare a single PDF containing your cover letter, CV with publications, and transcripts. Submit your application in English by email to [email protected] by January 20, 2026. Ensure all materials are included for consideration. Visit the project link for more details.

Requirements

Applicants should have a Master's (or equivalent) and a B.Sc degree in computer science, quantitative biology/biochemistry, mathematics, or related fields. Strong programming skills (preferably C/C++), experience in UNIX and high-performance computing environments, and a solid understanding of algorithms, data structures, probabilities, and statistics are required. Knowledge of differential calculus and linear algebra is expected. Experience in bioinformatics, metagenomics, and next-generation sequencing is a plus but not mandatory. Proficiency in English (oral and written) is required. Application materials must include a cover letter, CV with publications, and transcripts, submitted as a single PDF.

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