Open Data Science job portal

Tenured Associate/Full Professor in Clinical/Education Data Science and Analytics 618 views

Tenured Associate/Full Professor in Clinical/Education Data Science and Analytics

College/School/Unit:College of Education

Department:Kinesiology and Health Education

Apply By:Open until filled

 

Description

 

The University of Texas at Austin, College of Education, is seeking a faculty member in Data Science / Analytics to be appointed as an Associate / Full Professor with tenure. The College of Education seeks to serve as agents of change committed to transforming education and health research, practice, and policy to ensure the thriving of children, families, schools, and communities. We build upon individual, family, and community strengths in order to combat disparities in education and health and to promote social justice. We are committed to an intellectually diverse and inclusive working and learning environment and are seeking candidates whose research, teaching, and service have prepared them to contribute to our commitment to diversity, inclusivity, and excellence.

 

As a College-wide search, this is a broad call for an accomplished scholar who will support these goals within one of our five departments: Curriculum and Instruction; Educational Leadership & Policy; Educational Psychology; Kinesiology and Health Education; Special Education. While the specific area of study is open, the successful candidate’s core scholarship should be quantitatively focused. The successful candidate’s record should reflect advanced experience with cutting-edge methodological approaches to the analysis of large and complex data sets in education and/or health, with experience in high-performance computing a plus. Examples of potential areas of methodological focus include integrating education and health system data to understand student learning and health outcomes; methods for validating causal inferences from educational and health data mining; artificial intelligence; learning analytics; and social networks analysis. Experience in applied research design and novel approaches to analyzing intervention data (e.g., adaptive design) is preferred. Ideally, the successful candidate’s scholarship would inform the translation of research to practice via the development of interventions in schools, communities, families, or clinics. Applicants should also have a strong commitment to teaching and mentoring with a focus on enhancing equity and inclusion in the field and in practice.

 

The College of Education promotes the shared values of equity, excellence, innovation, empowerment, and community focus, and endeavors to bridge research and practice. We view inclusiveness and excellence as interconnected in the work of our faculty. The College of Education is particularly interested in and values candidates who have experience working with diverse and underserved populations and address the interactions among our diverse identities. Candidates should show a demonstrated commitment to improving access and conditions in educational and health settings for children, adults, families, schools, and communities through our efforts to Reimagine Education: https://education.utexas.edu/about/office-dean/reimagine-education

 

The University of Texas at Austin is the flagship state university of Texas. It houses the https://www.tacc.utexas.edu/. We value and support interdisciplinary research and provide numerous opportunities for collaboration including the https://texaserc.utexas.edu/; https://meadowscenter.org/; https://liberalarts.utexas.edu/prc/; https://dellmed.utexas.edu/, and https://sph.uth.edu/campuses/austin. There are ongoing collaborations with state organizations, the Texas Education Association, and the State Department of State Health Services, that are housed only blocks from campus. Austin, Texas is an exciting, welcoming, and inclusive city with the reputation of the Live Music Capital of the World with many parks and lakes that are popular for hiking, running, biking, and water activities including swimming and boating.

 

The position is supported by a competitive start-up package, compensation appropriate to rank and experience, and access to state-of-the-art core facilities.

 

Qualifications

 

Required Qualifications:

 

  • Ph.D. in Education, Psychology, Prevention Science, Public Health, or related fields with methodological focus or a Ph.D. in quantitative fields such as statistics, biostatistics, demography, economics, mathematics, data science, or computer science.
  • Achieved national (Associate Professor) or field-leading (Professor) prominence in the area of scholarship.
  • Excellent publication record.
  • Demonstrated record of independent and/or collaborative extramural research funding.
  • Experience or capacity to teach and mentor undergraduate and graduate students from diverse backgrounds and advance the College’s mission of equity and excellence.

 

Application Instructions

 

APPLICATION INSTRUCTIONS

 

To ensure full consideration, please provide all requested materials by December 6, 2021. Review of applications continues until the position is filled.

 

Applicants should upload the following items to the https://www.interfolio.com/:

 

  • Cover Letter with contact information that reflects on your research, teaching, and service accomplishments. Be sure to note how these reflect equity, diversity, and inclusion; along with their fit within the https://education.utexas.edu/about/office-dean/reimagine-education of the College of Education
  • Full C.V.
  • Up to 3 representative publications
  • A list of 3 references with contact information (no contact will occur unless selected as a finalist)

 

For additional information about the department, see https://education.utexas.edu/departments/kinesiology-health-education.

 

Applications will be submitted via the University of Texas’ Interfolio By Committee web portal. If you do not have a Dossier account with Interfolio, you will be prompted to create one prior to applying for the position. If you have questions about using Interfolio, please email help@interfolio.com or call (877) 997-8807.

 

For questions regarding the application process, please contact Shannon LaFevers (512) 232-6023 or slafevers@austin.utexas.edu. Questions about the positions can be directed to the chair of the search committee: Dr. John Bartholomew at jbart@austin.utexas.edu, or Pedro Reyes, preyes@austin.utexas.edu

 

UT Austin is an equal opportunity institution that is committed to recruiting, supporting, and fostering a diverse community of outstanding faculty, staff, and students. We encourage qualified applicants from underrepresented communities to apply.

 

Equal Employment Opportunity Statement

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

 

To apply, visit https://apptrkr.com/2582335

More Information

Share this job
Company Information
Connect with us
Contact Us
https://jobs.opendatascience.com/wp-content/themes/noo-jobmonster/framework/functions/noo-captcha.php?code=79795

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.

Contact Us