Postdoctoral Positions in Functional Genomics: The Chaturvedi Lab is seeking two highly motivated Postdoctoral Scholars to join an interdisciplinary research program at the intersection of functional genomics, single-cell biology, computational systems biology, and machine learning. The lab focuses on understanding how complex biological networks make decisions and how these decisions can be reprogrammed for therapeutic applications, particularly in disease and host–pathogen interactions.
Postdoctoral Positions in Functional Genomics, Computational Systems Biology & Machine Learning
Summary Table
| Category | Details |
|---|---|
| Positions Available | 2 Postdoctoral Scholars |
| Designation | Postdoctoral Scholar |
| Research Areas | Computational Systems Biology; Machine Learning for Biology |
| Focus | Single-cell genomics, gene regulation, predictive modeling |
| Location | University of California, Riverside (UCR), USA |
| Salary & Benefits | Competitive salary + full UC benefits |
| Application Mode | |
| Last Date to Apply | Open until positions are filled |
Designation
- Postdoctoral Scholar in Computational Systems Biology
- Postdoctoral Scholar in Machine Learning for Biology
Research Area
- Functional Genomics
- Single-cell Transcriptomics
- Computational Systems Biology
- Machine Learning & Deep Learning for Biology
- Gene Regulatory Networks
- Host–Pathogen Interactions
- Predictive Modeling and Digital Twins of Cells
Location
University of California, Riverside (UCR), California, USA
Eligibility / Qualification
Applicants should have:
- A PhD in Computational Biology, Systems Biology, Machine Learning, Bioinformatics, or a closely related field
- Strong experience with single-cell transcriptomic data analysis
- Expertise in machine learning–based modeling or systems-level computational modeling
- Demonstrated ability to work in interdisciplinary and collaborative research environments
- Strong interest in model building and biological discovery
Job Description
Postdoctoral Scholar in Computational Systems Biology
- Develop mechanistic and data-driven models of cellular decision-making
- Analyze large-scale single-cell transcriptomic and functional genomics datasets
- Infer gene regulatory networks and programs
- Integrate multimodal single-cell data
- Collaborate closely with experimental researchers to translate biological insights into predictive systems-level models
Postdoctoral Scholar in Machine Learning for Biology
- Build machine-learning–based models of cellular systems
- Develop predictive models and digital twins of cells capturing cellular state, dynamics, and responses to perturbations
- Apply deep learning, representation learning, and probabilistic modeling techniques
- Work with high-dimensional single-cell datasets
- Bridge biological understanding with scalable computational frameworks
Why Join the Chaturvedi Lab
- Highly collaborative, interdisciplinary, and supportive research culture
- Strong mentorship and career development opportunities
- Competitive salary with comprehensive University of California benefits
- Healthy work–life balance within a vibrant academic and research community
How to Apply
Interested candidates should email their CV to:
sonalic(at)ucr(dot)edu
Last Date for Apply
Open until positions are filled (early applications are encouraged)
