Postdoctoral Position- Artificial Intelligence- Developmental Network Neurobiology Laboratory

Job Description:

The University of Florida, Department of Pediatrics, Neuroimaging - Developmental Network Neurobiology
Laboratory- seeks a highly motivated Postdoctoral Research Associate to join a team.

We are seeking a talented Postdoctoral Research Associate to join our interdisciplinary team working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in collaboration with the UF Artificial Intelligence initiative. The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale models for neuroimaging and neuroscience through innovative AI technologies. This unique position represents an extraordinary partnership with industry-based collaborators, and will include vendor-sponsored hardware and software engineering support.

Ongoing projects in lab include structural and functional magnetic resonance imaging (MRI) of developing children, and clinical conditions including autism, traumatic brain injury, diabetes, epilepsy, and others. The postdoctoral researcher will contribute to building a large-scale foundation model from brain MRIs and neurobehavioral data and deploying these models for a variety of real-world applications, including characterizing brain developmental processes during early ages of life, discovering brain aging mechanisms, and identifying pathologic markers of a variety of neurologic and developmental disorders. The successful candidate will harmonize several public and private datasets including NDA/INDAR, HCP, ADNI, OASIS, ABCD, and others, with the ultimate goal of deploying large-scale models to have broad impact across multiple clinical and neuroscientific disciplines.

A strong foundation of technical skills in artificial intelligence applications is essential for success of this project. Cutting edge training and on-the-job learning will be an ongoing core component of the position. Qualified and seriously interested parties should apply directly to this posting, and discovery calls are encouraged to explore whether this unique opportunity may be a good fit.

Expected Salary:

$,-$, commensurate with experience

Minimum Requirements:

Ph.D. degree in the appropriate area of specialization.

Preferred Qualifications: Applicants should have experience in functional MRI and functional connectivity MRI (data acquisition, preprocessing, analysis). Experience in high-dimensional computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required. Applicants who have experience in the study of children (especially those with autism), and other clinical populations may be preferred. Ph.D. degree in Neuroscience (preferred), Computer Science, or other relevant Neurobiology related field. A strong record of early career research, as well as excellent analytical, oral and written communication skills.