- Research Experience
- Research Laboratory Experience
- Human Resources
- Experimental Design
Contributes to the university's mission through research and service.
Optimize and implement state-of-the-art pulse sequences in the general areas of neuroimaging.
Implement novel RF pulses developed by members of the neuroimaging group to investigate dynamic neural interactions and measurement of cardiac MRI at high spatiotemporal resolutions.
Conduct research in collaboration with the computational neuroimaging group in advanced MR imaging (fMRI, ASL, DTI, spectroscopy), and advanced imaging and data analysis methods for various MR imaging modalities.
Assist TTNI clients with design, implementation and analysis of MR experiments.
Lead the design, implementation and analysis of MR experiments based on the research scientists own interest and skills.
Perform advanced MR imaging (fMRI, ASL, DTI, spectroscopy).
Write and submit publications and grant proposals.
Schedules the use of the fMRI. Develops, implements and monitors the center's budget. Bills customers in a timely manner.
General upkeep and maintenance of TTNI equipment and facilities.
Academic degree as defined by the academic unit and as appropriate for the position held. Demonstrated record of effectiveness as a researcher. Should have a record of activity which has contributed to the discipline or field of research.
Knowledge of MR experimental design and analysis. Good writing skills. Ability to stay focused on task.
Programming skills in MATLAB, Unix/Linux and experience with FSL and SPM.
Creativity and ability to develop new research concepts worthy of publication and external grant proposal writing.
Does this position work in a research laboratory?
Cover Letter, Recommendation/Referral, Resume / CV
Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as, the institutional pay plan. For additional information, please reference the institutional pay plan on the Human Resources webpage.
As an EEO/AA employer, the Texas Tech University System and its components will not discriminate in our employment practices based on an applicant’s race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information or status as a protected veteran.