Mots-Clés
machine learning
scRNAseq
spatial transcriptomics
AI
disease
health
physics
dynamical systems
rna
foundation models
Description
The newly opened Ricci Lab in one of Europe’s top biological research centers, Institut Imagine in Paris, is seeking a postdoctoral associate to work on data-driven dynamical systems modeling of genetic disease. Located in the heart of Paris, our lab is looking for candidates with strong backgrounds in applied mathematics, physics, computer science or computational biology and who have previous experience working with biological data. As a member of our lab, you will have access to world-class computational and biological resources, including a state-of-the-art NVIDIA DGX H200 cluster and vast in-house biological data sets. The successful candidate will be free to co-design new research directions with the PI, but ongoing projects include (1) data-driven optimal control of gene regulatory networks and (2) morphogenetic modeling of whole tissue development, especially in the context of brain disease. The postdoc will be encouraged to pursue results in computational biology, machine learning, and genetic disease modeling. Learn more at ricci-lab.com .
To apply, please send a CV (with publications) and a brief statement of research experience (1-2 pages) to matthew.ricci@institutimagine.org with “postdoc” in the subject line.
Resources
–World-class compute including a 12PB PureStorage (Flash) storage cluster, DGX NVidia H200 x8, along with a 150TB Purestorage FlashBlade S chassis, and 16-20 CPU nodes.
–Huge in-house data sets of high-throughput omics data (scRNAseq, spatial transcriptomics and proteomics, ATAC-seq, etc.) and clinical data across numerous biological systems, augmented regularly by Imagine’s numerous wet labs and physicians.
–Tight integration and freedom to collaborate with partner academic and medical organizations, including Institut Pasteur, PR[AI]RIE, Institut Necker and more.
–Housing and quality-of-life support, including reserved apartments in Paris close to the Institut and subsidized travel.
Requirements
–Ph.D. in pure/applied mathematics, computer science (including machine learning), physics, computational biology or a related area.
–Demonstrated research experience through publications, conference participation, etc.
–Strong coding skills.
–Previous applications of mathematical, physical or machine learning frameworks to biology.
–Proficiency in spoken and written English.
Candidates will preferably also have experience with at least some of the following:
– Deep learning frameworks like transformers, diffusion models, neural ODEs/PDEs, convolutional networks.
– Dynamical systems and/or differential equations modeling, especially data-driven versions of these concepts (e.g. SINDy, applied Koopman analysis, etc.).
– Modeling or analyzing omics data, especially single-cell RNA sequencing and spatial transcriptomics.
–Using foundation models (either training, fine-tuning, or inference).
Employment details
–Monthly gross salary: €3434-€3572 + 10% bonus (€343.40-€357.20)
–Two-year contract with opportunities for renewal.
–Work time: 37.50 hours/week.
–Paid leave: 26 days of paid leave for a full year of presence, based on the reference period from 06/01/N to 05/31/N+1
RTT (Reduction of Working Time): 15 RTT days prorated to your time of presence during the period from 01/01/N to 12/31/N.
–Benefits : healthcare contract covered by the Institute at a rate of 60%, reimbursement of transport costs at a rate of 75%, €100 of restaurant vouchers covered by the Institute at a rate of 60%.