Data Science Postdoctoral Researcher

Chattanooga, Tennessee
Aug 08, 2017
Position Type
Institution Type
Four-Year Institution

Data Science Postdoctoral Researcher, Computer Science & Engineering  Requisition # 1700000146 


A postdoctoral faculty position is available in the area of Data Science at the Smart Communications and Analysis Lab (SCAL) and Urban Science and Technology (Urban S&T) Program at the University of Tennessee Chattanooga (UTC).   SCAL and the Urban S&T Programs are closely affiliated with the UTC SimCenter, a key interdisciplinary R&D center on campus where the scholar will be housed and mentored.  SimCenter is a leading modeling, computation, and simulation center on campus. Novel and exciting research projects in the areas of Transportation, Health, and Energy are being conducted in our laboratory that are funded by federal agencies (NSF and NIH), the state of Tennessee, and by industry. The successful postdoctoral scholar will have the opportunity to contribute to and advance these projects in real-world settings through our close collaboration with the Chattanooga smart-city community.

Candidates will investigate fundamentals, algorithm design and evaluation for data science in smart-city applications. We seek candidates who have already shown exceptional early career promise and whose work will contribute to one or more of these research areas: Signal Processing, Data Mining, Machine Learning, Data Visualization, Data Management, Internet of Things, and Smart Cities Principles, Architectures, and Testbeds. Additional responsibilities include:

  • Contributing to the ongoing projects in the areas mentioned above.
  • Writing papers and technical reports in the areas mentioned above.
  • Helping with identifying funding resources and contributing to proposal preparation.
  • Supervising graduate and undergraduate students in Dr. Sartipi's research group. Dr. Sartipi will also supervise the students.


Candidates must possess an earned Ph.D. in computer Science, Computer Engineering, or Electrical Engineering. Must have knowledge of data science; related publications in prestigious journals/ proceedings; strong verbal and written communication skills, organizational skills, programming skills, and analytical skills. Must be able to supervise students. Knowledge of smart cities and proposal writing is preferred.  Experience working in a team and advising students is preferred. Occasional evenings and weekends work required; occasional overnight travel required.

Applications must be sent electronically to:

The University of Tennessee Chattanooga is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA institution in the provision of its education and employment programs and services. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status.