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Institut Pasteur

Postdoc in Synthetic Data Simulation for Malaria Genomic Epidemiology Institut Pasteur in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

2-year, full-time postdoc funded by the French National Research Agency (ANR) as part of the UniGEM project. The post mentions project funding but does not specify salary or stipend amount.

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Country

France

University

Institut Pasteur

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Keywords

Computer Science
Epidemiology
Population Genetics
Deep Learning
Biology
Mathematics
Computational Biology
Medical Science
Salud Pública
Statistics
Bioinformatic

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About this position

Postdoc opportunity at Institut Pasteur, France in synthetic data simulation for malaria genomic epidemiology.

This 2-year, full-time postdoctoral position is part of the ANR-funded UniGEM (Unified Inference for Genomic Epidemiology of Malaria) project led by Aimee Taylor. The project uses simulation-based inference (SBI) and deep learning to estimate epidemiological parameters of P. falciparum, the deadliest malaria parasite species.

The postdoc will focus on building and improving a simulation pipeline that generates realistic synthetic datasets for training, development, and testing of a neural network. The work includes reviewing existing epidemiological simulators, benchmarking them, estimating Bayes optimal error, and developing an enhanced simulator for malaria-specific recombination and transmission processes.

Research themes and keywords include malaria genomic epidemiology, statistical population genetics, coalescent with recombination, ARGs, computational biology, bioinformatics, infectious-disease epidemiology, and high-performance computing.

Eligibility highlights: PhD in a relevant field such as statistical population genetics, computational biology, bioinformatics, infectious-disease epidemiology, evolutionary biology, or ecological biology; strong programming skills in R/Python; Git/GitHub familiarity; English proficiency at B2 level or higher; reproducible computational workflow experience; and experience with large-scale population-genetic simulations (e.g., SLiM, msprime, tskit).

Funding: The position is ANR-funded through UniGEM. The post does not specify a salary or stipend amount.

How to apply: Email Aimee Taylor at [email protected] with a CV, motivation letter, and relevant experience. Applications are reviewed on a rolling basis until the position is filled.

Funding details

2-year, full-time postdoc funded by the French National Research Agency (ANR) as part of the UniGEM project. The post mentions project funding but does not specify salary or stipend amount.

What's required

PhD in statistical population genetics, computational biology, bioinformatics, infectious-disease epidemiology, evolutionary or ecological biology, or a closely related field. Strong programming skills in R, Python, or similar languages; familiarity with Git/GitHub; proficient written and spoken English at B2 level or higher; ability to communicate methodological assumptions and limitations clearly; experience with reproducible computational workflows and high-performance computing; and experience with large population-genetic simulations such as SLiM, msprime, or tskit.

How to apply

Email Aimee Taylor at [email protected] with your motivation, relevant experience, and CV. Applications are reviewed on a rolling basis until the position is filled.

More information can be found here

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