Imaging- and Neuro-computations for Precision Informatics Research (INSPIRE) Lab is launching at the Fischell Department of Bioengineering at the University of Maryland, College Park! We are seeking a self-motivated postdoctoral associate with a strong quantitative background to join us.
INSPIRE Lab integrates data science and brain science. We model and analyze spatiotemporal brain dynamics, uncovering brain function and neurological disorders using multimodal imaging data. For more information, please visit
This position is funded by the NIH Brain Initiative, which focuses on developing statistical/machine/deep learning models, information-theoretic approaches, and other computational tools for functional neuroimaging data. The successful applicant will lead this role while receiving mentorship in research, scientific communication, conference presentations, manuscript writing, and contributing to grant writing. S/he will also be responsible for training junior trainees and assisting in the maintenance of the lab's computing systems and environment.
Located in A. James Clark Hall, INSPIRE Lab is adjacent to neuroimaging core facilities and has high-performance computing power. UMD's proximity to government research facilities (e.g., NIH, NSF, DOD, FDA, etc.) and world-leading hospitals offers numerous collaboration opportunities. The campus is conveniently located near Washington D.C. and Baltimore, providing diverse living and recreational options.
The PI of INSPIRE Lab is committed to providing personalized guidance and support tailored to individual goals, while actively promoting Diversity, Equity, and Inclusivity (DEI). Compensation is based on NIH postdoctoral guidelines and includes a competitive benefits and retirement package offered by UMD. The position offers a renewable, annual contract with the expectation of completing 2-3 years of postdoctoral training. The preferred start date is January 2025, though this is negotiable.
Minimum Qualifications:
鈥 Ph.D. in Electrical & Computer Engineering, Physics, Statistics, Computer Science, or a related field.
鈥 1st author publication(s) with deep learning and statistical learning models.
鈥 Proficiency in Information Theory, Network Science (e.g., graph theory), and/or Control Theory.
鈥 Strong coding skills in Python, MATLAB; Linux OS.
Preferred Qualifications:
鈥 Strong background in quantitative expertise, with comfort in deriving theorems and/or formulas.
鈥 Strong communication and writing skills.
How to Apply: Please assemble the following: 1) a letter of interest/cover letter, 2) CV, and 3) a list of three references. The cover letter should describe your previous experience, interest and expectations for the position, and preferred start date. Email the application as a single PDF file to Dr. Nan Xu ([email protected]) with 鈥淧ostdoc Application - modeling鈥 in the subject line.
