Postdoctoral Associate- Computational Modeling
- Baylor College of Medicine
- Location: Houston, TX
- Job Number: 7099900 (Ref #: 11131-en_US)
- Posting Date: May 12, 2022
- Application Deadline: Open Until Filled
Job Description
Summary
Baylor College of Medicine (BCM) is located in the heart of the Texas Medical Center (TMC), the world’s largest medical center. BCM in TMC provides an unique environments to facilitate collaborations among labs with dynamic interactions between researchers and clinicians.
A new position in the field of bioengineering and translational research is available for a highly enthusiastic Postdoctoral Fellow to lead NIH-funded research to study human brain function using computational modeling and functional magnetic resonance imaging (fMRI). We utilize a mixture of human experiments and computational modeling to enable detailed measurements of the physics and physiology of human brain function. We believe that fMRI provides an extremely informative window in brain function when interpreted as a quantitative metric of metabolic substrates rather than a rough correlate of neuronal electrical activity.
The role requires various abilities to work independently and as part of various multidisciplinary teams. Excellent interpersonal and communication skills are essential. The successful candidate will work with various collaborative and innovative research teams consisting of scientists, engineers and clinicians in the fields of cognitive neuroscience, MR physics, neurology and neurosurgery. The lab currently collaborates with various teams in Siemens, the University of Texas Health Science Center at Houston, University of Southern California and Max Planck Institute at Tubingen (Germany). The lab has immediate access to two top-of-the-line Siemens Prisma 3T scanners, as well as a Siemens Terra 7T scanner at Methodist Hospital (the first 7T human scanner in Texas). Computational work makes use of a local cluster of high-performance compute and file servers owned exclusively by our lab.
A candidate who wants to advance her/his career in Academia is highly desirable. The successful candidate expects to submit her/his own training grant within 3-4 years at the end of the postdoctoral training to advance her/his independent career.
Applicants should submit 1) a cover letter including their research interests, 2) a CV, and 3) a list of at least 3 references.
Job Duties
- Demonstrates knowledge of computational modeling of biological system, linear system analysis, and analytical/numerical solutions of various partial differential equations.
- Advances in-house developed models and execute in fMRI/ASL experiments.
- Performs computational modeling of brain blood flow and oxygen metabolism with measured fMRI/ASL data.
- Demonstrates experience of computational fluid dynamics (CFD) analysis.
Minimum Qualifications
- MD or Ph.D. in Basic Science, Health Science, or a related field.
- No experience required.
Preferred Qualifications
- Ph.D. in Biomedical Engineering, Physics, Mechanical Engineering, Electrical Engineering, Neuroscience, or a related field.
- Strong background of computational modeling of biological system.
- Strong coding ability in Matlab or equivalent is highly desirable.
- Experience of the finite-difference method (FDM) and finite-volume method (FVM) analysis.
- Background of computational modeling of biological system.
Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
11131
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Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.
