Postdoctoral Researcher in fMRI methods

Kessler Foundation; Bethesda (MD); On-site; USD 64,000 - 76,000; Full time

Job summary

The National Institute of Mental Health (NIMH) invites applications for a post-doctoral position in the Section on Functional Imaging Methods (Laboratory of Brain and Cognition), directed by Dr. Peter A. Bandettini.

Our lab focuses on developing advanced fMRI and MRI acquisition, modeling, and processing methods to improve interpretability and utility of functional neuroimaging. We employ multi-modal imaging, ultra-high-field fMRI, MEG and EEG with simultaneous fMRI, and collaborate across NIH

Qualifications

• Strong quantitative skills and experience in MRI, fMRI, EEG, MEG, or related modalities are essential.
• Training in neuroscience, neurophysiology, or time-series signal processing is desired.
• PhD in a relevant field is required or imminent.

Skills

MRI/fMRI expertise

Quantitative skills

EEG/MEG experience

Education

PhD in Neuroscience or Biomedical Engineering

Tools

MEG

EEG

fMRI

MRI

Job description

The National Institute of Mental Health (NIMH) invites applications for a post-doctoral position in the Section on Functional Imaging Methods (Laboratory of Brain and Cognition), directed by Dr. Peter A. Bandettini. Our lab is focused on understanding the neuronal, vascular, and physiologic underpinnings of neuroimaging signals, in particular fMRI, towards advancing cutting-edge fMRI and MRI acquisition, modeling, and processing methods to improve the interpretability, precision, and utility of functional neuroimaging.

Our goal is to derive a broader and deeper spectrum of information from the fMRI time series through multi-modal imaging and assessment, dynamic spatiotemporal modeling, and ultra-high-resolution fMRI. Our ongoing projects that include understanding characterizing the spatial and temporal features of the fMRI signal, imaging laminar and columnar functional organization fMRI at 7T; understanding the contributions of neuronal and vascular physiology to the fMRI signal – both as a source of artifact and a possible source of unique information, and development of novel pulse sequences sensitized to different neuronal and physiologic processes including glymphatic transport.

The MRI resources available to us at the NIH are exceptional. They include those operated by the Functional MRI Core Facility (FMRIF), also directed by Dr. Bandettini. The FMRIF consists of five MRI scanners: two GE 3T, a Siemens Skyra 3Tand two Siemens 7T scanners. Additional scanners available include a Siemens Prisma 3T and a Siemens 7T. Additional available human brain research modalities include MEG, EEG (with simultaneous EEG-fMRI capability), TMS, and optical imaging. The NIH intramural program hosts a world-leading community of MRI experts, enabling collaboration with groups specializing in human and pre-clinical research with focus on fMRI methods, diffusion and microstructure imaging, susceptibility contrast, parallel imaging, and molecular imaging. We also collaborate with clinical research teams studying neurological, psychiatric, and developmental disorders, as well as with the Functional MRI Core Facility, the Scientific and Statistical Computing Core, the Data Sharing and Science Team, the Machine Learning Team, and the Center for Multimodal Neuroimaging.

Applicants should be highly independent, collaborative, and motivated working at the intersection of neuroscience, physics, engineering, and computation. We care about human neuroscience and clinical applications of fMRI but our focus is on developing and leveraging new methods to derive novel information. Strong quantitative skills and experience in MRI, fMRI, EEG, MEG, or related modalities are essential, along with comfort handling complex neuroimaging datasets and acquisition or reconstruction techniques. Training in neuroscience, neurophysiology, or time-series signal processing is desired. Most importantly, candidates should have a passion for fully understanding the fMRI signal and developing next-generation fMRI methods so that insights into human brain organization and clinical applications may be realized.

The NIH Training website includes the salary range and NIH-wide eligibility criteria. The National Institutes of Health is an equal opportunity employer.