Postdoctoral Position – Neuroimaging - Developmental Network Neurobiology Laboratory

 

Classification Title:

Postdoctoral Position – Neuroimaging - 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.   The postdoctoral associate will perform research in the laboratory of Dr. Brandon Zielinski in the Division of Neurology, within the Department of Pediatrics. Dr. Zielinski’s research program focuses on NIH-funded postdoctoral positions in structural covariance, white matter microstructure, and functional connectivity MRI and related techniques. Applicants should have experience in functional MRI and functional connectivity MRI (data acquisition, preprocessing, analysis). Experience in high-dimensional computer science using datadriven 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. They will be expected to be able to 1. Follow protocols to execute existing techniques; 2. Oversee the execution of assigned experiments; 3. Review, approve, or interpret scientific results; 4. Present researching findings to PI and at laboratory meetings; 5. Maintain laboratory safety programs and train personnel in laboratory safety techniques; 6. Actively participate in the writing of grants, papers, and statements of work.   The postdoctoral associate must be able to perform the following essential functions:   Conduct research: Design and execute analysis involving neuroimaging data (fMRI/sMRI/EEG) to investigate brain dynamics and functional connectivity. Deep learning analysis: Develop and implement novel deep learning algorithms and methodologies to analyze large-scale neuroimaging datasets, extract meaningful features, and identify patterns and signatures of brain activity. Data preprocessing and analysis: Perform data preprocessing and analysis using established neuroimaging software packages (e.g., FSL, AFNI, SPM) and custom scripts (fMRIprep). Collaborative research: Collaborate with a multidisciplinary team of researchers, including neuroscientists, statisticians, and computer scientists, to integrate neuroimaging and deep learning techniques for advancing our understanding of brain dynamics and cognitive processes.   Publication and dissemination: Prepare and publish research findings in high-quality scientific journals and present results at conferences and scientific meetings. Grant proposal writing: Assist in the development of grant proposals to secure funding for ongoing and future research projects.   Mentorship and training: Provide guidance and mentorship to graduate and undergraduate students involved in the lab's research activities. Lab management: Assist in the day-to-day operations of the lab, including data organization and management, equipment maintenance, and ensuring compliance with safety protocols. Expected Salary:

$61,008-$64,356 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. Special Instructions to Applicants: Applications should include a curriculum vitae (CV), and a cover letter, and three letters of recommendations or contact information for three professional references.   Review of applications will begin on immediately and will continue until a sufficient applicant pool has been established.   Final candidate will be required to p