Site: Massachusetts Eye and Ear Infirmary


At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission-from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.


At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare - people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds - to apply.



Job Summary
POSITION SUMMARY: The Middle Ear Research Lab at Massachusetts Eye and Ear / Harvard Medical School has a Swiss NSF-funded 2-year postdoctoral research fellow position available in early 2025, under the supervision of Aaron Remenschneider MD MPH FACS and Jeffrey Tao Cheng PhD. Our lab studies middle ear mechanics in normal, diseased and reconstructed ears. The research fellow will be conducting research in finite element modeling of human middle ear biomechanics using the-state-of-the-art Synchrotron Radiation-based X-ray Phase-Contrast Imaging (SR X-PCI) data of the middle ear collected at the Swiss Light Source of the Paul Scherrer Institute. Interested individuals please send a curriculum vitae and names and contact information of three references to Drs. Aaron Remenschneider (Aaron_Remenschneider@meei.harvard.edu) and Jeffrey Tao Cheng (Tao_Cheng@meei.harvard.edu). Review process will begin on a rolling basis until the position is filled. Expected start date is Spring to Summer 2025 ESSENTIAL FUNCTIONS: Required: - PhD degree and research experience in computational modeling - Strong programing skills (e.g. Matlab, Python) - Highly motivated and productive Preferences: - Finite element modeling and nonlinear analysis on mechanics of the ear - Background in acoustics, biomechanics, and experiments in animal or human ear (temporal bone) WORKING CONDITIONS: The successful candidate will receive an appointment at Massachusetts Eye and Ear and Harvard Medical School. Salary and benefits are consistent with NIH guidelines and institution policies based on applicant's experience.



Qualifications


REQUIRED EDUCATION AND EXPERIENCE: - PhD degree and research experience in computational modeling and engineering, or similar field PHYSICAL REQUIREMENTS: - Routine physical activities in a lab setting, such as lifting, bending, crawling, standing, and walking.



Additional Job Details (if applicable)


Additional Job Description



Remote Type


Hybrid



Work Location


243-245 Charles Street



Scheduled Weekly Hours


40



Employee Type


Regular



Work Shift


Day (United States of America)



EEO Statement:


Massachusetts Eye and Ear Infirmary is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.



Mass General Brigham Competency Framework


At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.