Job Information
Johns Hopkins University Post-Doctoral Fellowship in Advanced MR Spectroscopy - #Faculty in Baltimore, Maryland
The research group led by Dr. Georg Oetlzschner at The Johns Hopkins University School of Medicine invites applications for a two-year Postdoctoral Fellowship. The fellow will work on various NIH-funded research projects focused on the development novel data processing and analysis methods for in-vivo MR spectroscopy (MRS) and their application in the human brain. The goals of this work are: (i) to improve the reliability and reproducibility of in-vivo MRS metabolite concentration estimation; (ii) to demonstrate their utility as biomarkers of function and disease; (iii) to disseminate new methods to other researchers worldwide through our collaborative open-source MRS analysis software platform "Osprey".
Key Responsibilities :
The candidate will primarily develop and apply novel methods for modeling in-vivo MRS data:
- - Advance our newly-developed general linear-combination model.
- - Develop appropriate quantitative metrics to evaluate which model is the best one (quantitative information criteria).
- - Develop new sampling methods (based on Markov Chain Monte Carlo methods) to solve optimization problems and characterize the uncertainty of the modeling.
- - Acquire MRS data in healthy volunteers, as well as patients with brain tumors and other disorders.
- - Integrate the newly-developed methods for dissemination via the "Osprey" platforms.
- - Contribute to dissemination, maintenance, and user support of the "Osprey" platform.
Beyond this, there will be opportunities to pursue goals such as:
- - Develop new MRS/MRI pulse sequences.
- - Develop new analysis methods to parametrize and model MRS artefacts such as lipid contamination (and/or eliminate).
- - Develop deep-learning-based methods for processing and analysis.
- - Develop novel quantification routines specifically suitable for pediatric and/or aging cohorts.
The candidate is expected to:
- - Work independently and as a constructive part of a large team of interdisciplinary researchers.
- - Follow all key principles of responsible and reproducible research.
- - Draft and submit manuscripts for publication in field-leading peer-reviewed journals (e.g., Magnetic Resonance in Medicine).
- - Draft and submit abstracts to field-leading annual society meetings (e.g., ISMRM).
Key Qualifications :
Ph.D. in Medical Physics, Biomedical Engineering, Electrical Engineering, Computer Science, Neuroscience, or a related field.
Experience with signal processing, data modelling, non-linear optimization, and MR physics.
Strong programming skills in MATLAB, Python, R, C++, and/or similar.
Experience working with MRS data is desirable, but not strictly necessary.
Ability to work independently as well as in a collaborative research environment.
Preferred Skills :
Hands-on experience with acquiring and analyzing in-vivo MRS data.
Knowledge in solving complex optimization problems.
Knowledge of statistical analysis methods for biomedical research.
Experience with reproducible research, open science practices, version control (OSF, Git, Docker, Jupyter, R Markdown etc.
Strong publication record in relevant fields such as MRI/MRS, NMR spectroscopy, clinical neuroimaging, etc.
Salary: $62,232 - $62,232 a year
Interested candidates should submit the following documents:
A detailed CV.
A cover letter describing your relevant research experience and career goals.
Contact information for three professional references.
Job Type: Full Time