Faculty, Biodata Engineering
 University of Texas Southwestern Medical Center | |
parental leave, paid time off, tuition reimbursement
| |
 United States, Texas, Dallas | |
| 5323 Harry Hines Boulevard (Show on map) | |
 Oct 09, 2024 | |
|
The Department of Biomedical Engineering (BME) at the University of Texas Southwestern Medical Center (UTSW) in Dallas, TX invites applications for a full-time tenured/tenure track faculty position at the Assistant or Associate Professor level. We seek applications from individuals with research focus on biodata engineering, artificial intelligence (AI), machine learning (ML), data science and data curation for medical applications. Highly qualified senior postdoctoral fellows with outstanding publications and extramural research funding may be eligible for UTSW's prestigious Endowed Scholars program and are strongly encouraged to apply. We are especially interested in candidates who will provide inspirational leadership in research and initiate collaborative opportunities across the medical center. BME faculty work closely with clinical and basic research faculty in the highly collaborative UTSW Medical Center environment translating new technologies into medical solutions. All faculty members are expected to be enthusiastic mentors to trainees and actively engage in the teaching mission of the department. Responsibilities Successful candidates will develop an innovative research program that integrates medical data (imaging, diagnostics, pathology, omics, and related data sets) to predict, monitor and improve human health. The department is particularly interested in the application of AI/ML to functional neuroimaging, biomedical imaging, speech and text, and mining clinical data. Candidates with research focus on system data science will work closely with biomedical engineers to establish a program on biodata engineering. This research focused position will include responsibility for teaching graduate students and mentoring trainees. Specific focus areas of research are open but may include application of artificial intelligence, machine learning and data science. Qualifications The ideal candidate will have earned a Ph.D., an M.D. or an equivalent degree in Biomedical Engineering or a related field. A demonstrated potential for innovations in biomedical engineering and data technology is desirable. Highly competitive applicants will have education and/or experience in one or more of the following:
About the Department of Biomedical Engineering UTSW established the Department of Biomedical Engineering in 2022 to drive programmatic integration in biomedical engineering and address emerging clinical and scientific challenges in medicine and biology using innovative technologies. Anchored by outstanding faculty, motivated trainees, and exceptional clinical and engineering infrastructure, the department strives to create innovative systems and methods that will play an active role in transforming the current disease care system into a genuine health care enterprise. Application Applications should include:
Full applications will be accepted and reviewed on an ongoing basis. Please e-mail Somelea Neville (somelea.neville@utsouthwestern.edu) at UT Southwestern Medical Center for additional information. Applications must be submitted online via the UT Southwestern Careers website. Applications submitted before July 1, 2023 will receive full consideration with a targeted start date of fall 2023. Consideration may be given to applicants seeking less than a full-time schedule. Appointment rank will be commensurate with academic accomplishments and experience. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. Benefits
| |