UT Health Assistant Professor, NTT/ Natural Language Processing (NLP), Machine Learning, Deep Learning and Applications - Center for Computational Biomedicine , School of Biomedical Informatics in Texas Medical Center-Houston, Texas
Assistant Professor, NTT/ Natural Language Processing (NLP), Machine Learning, Deep Learning and Applications - Center for Computational Biomedicine , School of Biomedical Informatics
Texas Medical Center-Houston, Texas
UTHealth School of Biomedical Informatics
Requisition #: 210000OE
The School of Biomedical Informatics (SBMI) at the University of Texas Health Science Center at Houston (UTHealth) seeks an exceptional candidate for a non-tenure track position at the assistant professor level in the areas of natural language processing (NLP), machine learning and deep learning, as well as their applications to clinical practice and research, in the Center for Computational Biomedicine.
UTHealth is in the world-renowned Texas Medical Center (TMC), located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI currently offers PhD and Masters degrees; it also features certificate programs in biomedical and health informatics.
RESPONSIBILITIES : The successful candidate will be expected to plan, supervise, and direct research in NLP/ontology, machine learning and deep learning, as well as their applications to improve clinical practice and facilitate biomedical research. The candidate will provide technical expertise to lead in the development of study design, data collection, data analysis, results interpretation, manuscripts and grants. In addition, this position offers opportunities to supervise students and postdoctoral fellows and lead collaborative projects with other research faculty or health IT managers.
QUALIFICATIONS: The candidate should possess a doctoral degree in computer/information science, biomedical informatics, mathematics, statistics, or a related discipline, with experience to biomedical data, or a medical doctoral degree with experience with informatics research. He/she is expected to have some experience in NLP, ontology, and machine learning/deep learning areas, with the capacity to apply that expertise to the medical domain. A record of verifiable and published research in related areas and potential for obtaining extramural funding are preferred, as well as excellent teamwork and communication skills.
HOW TO APPLY: As part of the application process, the applicant should provide a current curriculum vitae, a research statement, contact information for three references, and a cover letter describing qualifications and career goals. Note that all application materials must be submitted through UTHealths online system.
SALARY: Competitive and dependent upon qualifications and experience.
The University of Texas Health Science Center at Houston (UTHealth)
Established in 1972 by The University of Texas System Board of Regents, The University of Texas Health Science Center at Houston (UTHealth) is Houston’s Health University and Texas’ resource for health care education, innovation, scientific discovery and excellence in patient care. The most comprehensive academic health center in the UT System and the U.S. Gulf Coast region, UTHealth is home to schools of biomedical informatics, biomedical sciences, dentistry, nursing and public health and the John P. and Kathrine G. McGovern Medical School. UTHealth includes The University of Texas Harris County Psychiatric Center, as well as the growing clinical practices UT Physicians, UT Dentists and UT Health Services. The university’s primary teaching hospitals are Memorial Hermann-Texas Medical Center, Children’s Memorial Hermann Hospital and Harris Health Lyndon B. Johnson Hospital.
UTHealth Benefits UTHealth offers a comprehensive and competitive benefits package. For more information on our benefits programs please refer to the UTHealth Office of Benefits Website.
Equal Employment Opportunity Statement
UTHealth is committed to providing equal opportunity in all employment-related activities without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, gender identity or expression, veteran status or any other basis prohibited by law or university policy. Reasonable accommodation, based on disability or religious observances, will be considered in accordance with applicable law and UTHealth policy. The University maintains affirmative action programs with respect to women, minorities, individuals with disabilities, and eligible veterans in accordance with applicable law.