Postdoctoral Researcher
Postdoctoral Researcher in Neuroimaging at DiCIPHR Lab, Department of Radiology, University of Pennsylvania
The DiCIPHR (Diffusion & Connectomics in Precision Healthcare Research) Lab invites applications for postdoctoral positions. DiCIPHR, led by Dr. Ragini Verma, is dedicated to patient-oriented neuroimaging research, aiming to advance our understanding of the association of disease related structural and functional connectivity alterations in the brain, and symptoms. Such clinically focused investigations are rooted in advanced mathematical and computational tools for diffusion MRI analysis, as well as multiparametric connectomics. These tools encompass processing pipelines, automated quality control and multi-site harmonization and have enabled investigations in sex differences, brain development, autism, brain tumor, and traumatic brain injury. Investigation of these clinical questions have been further facilitated by network neuroscience research in communication schemes, network reorganization strategies, as well as pre-clinical mechanistic investigations.
Position Overview:
The postdoctoral researcher will engage in cutting-edge research involving computational analysis of neuroimaging data. Projects will explore the integration of diffusion MRI (dMRI) and functional MRI (fMRI) to investigate brain connectivity, network dynamics, and their implications for various neurological conditions. Potential projects include, but are not limited to, investigation of brain connectivity in traumatic brain injury, developmental disorders, and brain cancer. The projects span the development of harmonization methods, deep-learning-based diagnostic and therapeutic tools, surgical planning aids, normative modeling for disease-specific anomaly detection and creating patient-specific imaging biomarkers. While the focus of the lab is neuroimaging, projects involve the integration of imaging with omics and clinical data. These are on-site positions, starting immediately. They are initially a one-year contract with the possibility of renewal based on mutual agreement, performance, and funding availability.
Essential Qualifications:
Bonus Qualifications:
Application Process:
Review of applications will begin immediately and continue until the positions are filled. Salary will be commensurate with NIH guidelines and the applicant’s experience. Interested candidates should submit a CV, a brief description of their research background and interests (1-2 pages), examples of two publications they have co-authored and contact information for 2-3 references to Dr. Ragini Verma at ragini@pennmedicine.upenn.edu.
The DiCIPHR (Diffusion & Connectomics in Precision Healthcare Research) Lab invites applications for postdoctoral positions. DiCIPHR, led by Dr. Ragini Verma, is dedicated to patient-oriented neuroimaging research, aiming to advance our understanding of the association of disease related structural and functional connectivity alterations in the brain, and symptoms. Such clinically focused investigations are rooted in advanced mathematical and computational tools for diffusion MRI analysis, as well as multiparametric connectomics. These tools encompass processing pipelines, automated quality control and multi-site harmonization and have enabled investigations in sex differences, brain development, autism, brain tumor, and traumatic brain injury. Investigation of these clinical questions have been further facilitated by network neuroscience research in communication schemes, network reorganization strategies, as well as pre-clinical mechanistic investigations.
Position Overview:
The postdoctoral researcher will engage in cutting-edge research involving computational analysis of neuroimaging data. Projects will explore the integration of diffusion MRI (dMRI) and functional MRI (fMRI) to investigate brain connectivity, network dynamics, and their implications for various neurological conditions. Potential projects include, but are not limited to, investigation of brain connectivity in traumatic brain injury, developmental disorders, and brain cancer. The projects span the development of harmonization methods, deep-learning-based diagnostic and therapeutic tools, surgical planning aids, normative modeling for disease-specific anomaly detection and creating patient-specific imaging biomarkers. While the focus of the lab is neuroimaging, projects involve the integration of imaging with omics and clinical data. These are on-site positions, starting immediately. They are initially a one-year contract with the possibility of renewal based on mutual agreement, performance, and funding availability.
Essential Qualifications:
- • PhD in Computational Neuroimaging, Computational Neuroscience, Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics, Neuroscience, Neurobiology, Psychology, Cognitive Science, or a related field by the start date
- • Strong background in neuroimaging, including expertise in diffusion MRI and functional MRI analysis and experience with advanced imaging techniques and software (e.g., SPM, AFNI, FreeSurfer, FSL, MRtrix)
- • Proficiency in imaging processing software and programming languages, such as Matlab, Python, or R
- • Demonstrated experience in statistical analysis, graph theory, and quantitative methods for imaging data
- • Proven ability to conduct independent research, including hypothesis formulation, experimental design, data collection, analysis, and dissemination of results
- • Experience with or ability to work effectively with junior lab members and trainees
- • Strong written and verbal communication skills
Bonus Qualifications:
- • Knowledge of neuroanatomy, neurobiology and genetics
- • Familiarity with neuronal modeling tools and machine/deep learning approaches
- • Strong background in translating basic research into clinical applications
Application Process:
Review of applications will begin immediately and continue until the positions are filled. Salary will be commensurate with NIH guidelines and the applicant’s experience. Interested candidates should submit a CV, a brief description of their research background and interests (1-2 pages), examples of two publications they have co-authored and contact information for 2-3 references to Dr. Ragini Verma at ragini@pennmedicine.upenn.edu.
