Postdoctoral Research Associate

The Integrative Laryngeal BioPhysiology Lab (UT Larynx Lab) is seeking a highly motivated Postdoctoral Research Fellow with expertise in biomedical engineering, signal processing, and big data analysis. This position offers a unique opportunity to contribute to active NIH-funded research programs focused on the use of motion capture technology to investigate perilaryngeal-respiratory kinematic patterns and coordinative relationships in individuals with and without functional voice disorders, including primary muscle tension dysphonia. Additionally, the role involves advanced research using high-density surface electromyography (HD-sEMG) and electroencephalography (EEG) to examine perilaryngeal motor unit neural control and corticomuscular integration in hyperfunctional voice disorders. The lab operates within a collaborative environment spanning The University of Texas at Dallas and UT Southwestern Medical Center. The salary for Post-Doctoral Research Associates in BBS is determined by years of experience per the current NIH (NRSA) stipend levels. Salary will be dependent on experience and qualifications. This appointment is for 1 year with the possibility of renewal. Continued employment is contingent on availability of funds and satisfactory performance. Minimum Education and Experience Ph.D. in a related field is required. Candidates who have successfully completed all requirements for the Ph.D. but whose degree has not yet been formally conferred may be eligible to begin employment provided they submit an official letter from the Registrar or Graduate School of the degree-granting institution certifying that all doctoral requirements have been satisfied and specifying the expected date of conferral. Appointment and continued employment are contingent upon formal conferral of the Ph.D. Preferred Education and Experience Ph.D. in Biomedical Engineering or a related field. Familiarity with grant writing and securing research funding. Other Qualifications To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position. Essential Duties and Responsibilities Design and conduct experiments related to laryngeal muscle biophysiology, vocal subsystem biomechanics, and sensorimotor voice disorders, with a focus on perilaryngeal-respiratory kinematic patterns and coordinative relationships in individuals with and without functional voice disorders (primary muscle tension dysphonia). Lead participant recruitment, data acquisition, processing, analysis, and interpretation for the motion capture R01, and develop novel motion capture techniques and analytical approaches relevant to perilaryngeal-respiratory kinematics and sensorimotor voice disorders. Run participants through the HD-sEMG-EEG protocol and acquire, process, and analyze high-density surface electromyography (HD-sEMG) and electroencephalography (EEG) data, including motor unit decomposition and corticomuscular coherence analyses to characterize perilaryngeal motor control and central-peripheral neural mechanisms in hyperfunctional voice disorders. Apply cutting-edge analysis techniques to motion capture kinematic datasets, including the development of novel pipelines for identifying perilaryngeal-respiratory coordinative patterns and biomarkers of vocal hyperfunction. Lead the preparation of manuscripts, abstracts, and presentations for peer-reviewed journals and national conferences. Collaborate with multidisciplinary teams, including clinicians and researchers, to advance the understanding of voice disorders. Mentor graduate and undergraduate students involved in related research projects. Experience with programming languages commonly used in big data and machine learning workflows (e.g., Python, MATLAB, R) and familiarity with deep learning frameworks and/or dimensionality reduction methods. Proficiency in big data analysis techniques and experience applying machine learning methods to physiological or biomechanical datasets. Experience with motion capture, HD-sEMG, and/or EEG data acquisition and analysis highly desirable. Familiarity with motor unit decomposition algorithms, corticomuscular coherence analysis, and/or related neurophysiological signal processing approaches relevant to HD-sEMG, EEG, or other high density time series data preferred. Proven track record of scholarly publications and presentations. Excellent written and verbal communication skills. Ability to work both independently and collaboratively within a research team. Physical Demands and Working Conditions Physical Activities: (description not provided). Working Conditions: (description not provided). Additional Information Work Notice Work will be performed on-site and in person. Travel This position may be subject to local travel for assessment, data collection, participant recruitment or participant needs. Other occasional travel may occur such as for training/development, conferences, etc. What We Can Offer BCBS PPO Medical Insurance Options - including 100% paid employee medical coverage for full-time employees AD&D Insurance Dental & Vision Plan Options Long and short-term disability TRS Retirement Plan Fertility Benefits Paid time off All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public. The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator. Supplemental Questions Required fields are indicated with an asterisk (*). Required Documents Curriculum Vitae Optional Documents Resume Cover Letter/Letter of Application Veteran Employment Preference - Form DD-214 #J-18808-Ljbffr The University of Texas at Dallas