Research Instructor

Job description

Posting Information

Position Information

Position Type Permanent Faculty Working Title Research Instructor Position Number Appointment Type Fixed Term Faculty Salary Range Full-time/Part-time Full Time If part-time, hours per week FTE Vacancy ID FAC0002794 Posting Open Date 05/16/2019 Application Deadline 05/29/2019 Open Until Filled No Proposed Start Date 08/01/2019 Position Summary

The Department of Psychiatry at the University of North Carolina at Chapel Hill seeks to hire a full-time Research Instructor (fixed term) faculty members. The position is in collaboration with the UNC OBGYN department for a project seeking to automate early detection of many conditions that lead to maternal and infant mortality in ultrasound (US) images. US can provide detailed information on fetal wellbeing and maternal conditions, thus identifying high risk pregnancies and enabling decisions regarding place and mode of birth. However, the World Health Organization (WHO) estimates that nearly two-thirds of the world’s population has no access to diagnostic imaging and that up to 70% of imaging equipment worldwide is nonfunctional because of limitations in acquisition, user training and technical support. This project proposes to address this challenge and support the goal of developing a robust, inexpensive, widely-deployable US device that can assess gestational age and other important obstetric conditions while requiring minimal operator expertise. The goal is to produce a suite of critical resources – including data, new sensor technology, and machine learning algorithms – that will be made widely available to machine learning / artificial intelligence (AI) groups in pursuit of our overarching goal. US data will be collected from pregnant women at a variety of gestational ages that can be used to train machine learning algorithms to assess gestational age and possibly make other diagnoses. Approximately 5,760 women will be enrolled in North Carolina (from the University of North Carolina Hospital and/or sites associated with UNC OBGYN) and in Lusaka, Zambia (from the University Teaching Hospital or affiliated clinics in the Lusaka District).

The environments at the UNC Neuro Image Research and Analysis Laboratory provide a unique interdisciplinary research environment incorporating collaborations with top-of-the-field researchers in Computer Science, Mathematics, Statistics, Radiology, Psychiatry, Pediatrics, Neurology, and Cell-Biology. The candidate will benefit from this diverse research team and will be exposed to cutting-edge technology and scientific applications, with strong connections and mentorship available in the Biostatistics, Psychiatry and OBGYN Departments.

We are seeking an applicant with a Master’s degree in Computer Science or a related field with a strong background in medical image analysis, machine learning, and deep learning frameworks with demonstrated interests in the development and application of state of the art technology and methodologies.

Educational Requirements

Applicants for the Research Instructor position must have masters in Computer Science or a related field.

Qualifications and Experience

Candidates with research experience, application development and experience with study coordination preferred.

Equal Opportunity Employer

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.

Special Instructions

Interested candidates may apply by going to and attaching a curriculum vitae and letter of application.

Quick Link Department Contact Information

Department Contact Name and Title Laura Catherine Newton Department Contact Telephone or Email [email protected] Contact Information

If you experience any problems accessing the system or have questions about the application process, please contact the University’s Executive Vice Chancellor and Provost office at (919)-962-1091 or send an email to [email protected]

Please note: The Executive Vice Chancellor & Provost office will not be able to provide specific updates regarding position or application status.

If you have any questions about the job requirements or the hiring department notify the Department Contact.

Applicant Documents Required Documents
  1. Curriculum Vitae / Resume
Optional Documents
  1. Cover Letter
Supplemental Questions

Required fields are indicated with an asterisk (*).




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Job No:
Posted: 5/21/2019
Application Due: 5/30/2019
Work Type: