Research Assistant Professor

  • Professional
  • Memphis, TN
  • Posted 1 month ago
  • Expires on: June 19, 2017

University of Memphis
Center of Excellence for MD2K

The Computer Science Department at the University of Memphis plans to recruit a non-tenure track Research Assistant Professor with responsibilities for conducting research and developing research proposals in the area of mobile sensors to work with Dr. Santosh Kumar, Professor and Lillian & Morrie Moss Chair of Excellence in Computer Science and Director, NIH Center of Excellence for Mobile Sensor Data-to-Knowledge.

The Computer Science Department invites applications from outstanding candidates with research interests in mobile sensors and its related subfields including Human Computer Interaction (HCI), Big Data, and Mobile Computing, at the Research Assistant Professor level. Required qualifications include a Ph.D. in computer science or a related discipline, record of publications in mobile health or a related subfield, and prior mentored and/or independent research experience with demonstrated interests in mobile health. This non-tenure track position is for 12 months and is renewable based on performance and availability of funding.

The successful candidate will work closely with NIH-funded Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) for mobile health (mHealth) and with a new project on monitoring performance of employees at workplaces using mobile sensors. The candidate will be joining a department with active research groups in all major areas of computer science that has been ranked 55th in the Nation in federally funded research. Full information about the department can be found at

We invite applications from outstanding candidates with the following qualifications and interests:

  • A sharp mind for using computer science and mobile sensors to advance biomedical discovery
  • Working in a fast-paced, highly public research environment to harnesses state-of-the art sensor dataa nalytics for personalization and structured prediction
  • Experience and/or interest in working in an interdisciplinary research environment or other advanced technology setting; willingness and ability to interact with nation’s leading academic researchers from 15large universities
  • Interest in mobile sensor big data, mobile health (mHealth), data provenance, and mobile computing

The successful candidate will be joining a nationally prominent team of scientists, engineers, and health researchers in mHealth. The candidate will work directly with the software engineers and scientific leadership at the MD2K Center. This post-doc position will provide the selected candidate with a one-of-a-kind opportunity to showcase their work in the national spotlight as data science and health communities from both academia and industry across the country adopt MD2K research and software. He or she will will ultimately contribute to building the next generation of a sensor-driven research workforce that unleashes the potential of mobile sensor data to improve health, wellness, and work performance.

Review will begin immediately and may continue until the position is filled, subject to budgetary approvals.

To apply, please follow the instructions at (Position #: L16522). Please include a cover letter, vitae, statement of research philosophy, and a minimum of three references. Direct inquiries to

More information about MD2K is available here: