professor profile picture

Maria Gorlatova

James N. & Elizabeth H. Barton Associate Professor

Duke University

Country flag

United States

Has open position

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

LinkedInORCID
Google Scholar

Research Interests

Extended Reality

10%

Simultaneous Localization And Mapping

10%

Target Tracking

10%

Salud Pública

10%

Mixed Reality

10%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions1

Publisher
source

Maria Gorlatova

University Name
.

Duke University

Postdoctoral Associate in Healthcare XR and Extended Reality Systems at Duke University

Duke University is recruiting a Postdoctoral Associate to lead research and development in healthcare XR (extended reality) within the group of Maria Gorlatova , James N. & Elizabeth H. Barton Associate Professor in Electrical and Computer Engineering. The position is based in Durham, North Carolina, and focuses on bringing AR/VR/MR technologies into clinical practice. The role sits at the intersection of Computer Science , Electrical Engineering , Biomedical Engineering , and healthcare-oriented interactive systems. The postdoc will design, implement, and evaluate XR systems for healthcare applications, lead software development, mentor students, and collaborate with clinicians and healthcare researchers. The group is especially interested in candidates who are excited by the challenges of co-designing XR platforms with multidisciplinary teams and shaping the strategic direction of healthcare XR research. Preferred experience includes publications in top XR/HCI venues such as IEEE VR, ISMAR, CHI, or UIST; development with Unity, Unreal Engine, OpenXR, or similar frameworks; systems-level work across sensing, networking, optimization, or edge/cloud integration; and machine learning for interactive or XR systems. Experience with healthcare professionals or healthcare technologies is a plus. The required degree is a Ph.D. in Computer Science, Electrical/Computer Engineering, or a closely related field by the start date. This is a postdoctoral opening rather than a PhD or master's call. The application deadline listed on the formal posting is 2026-06-30 , though the social post says interviews begin mid-May and the team aims to fill the position ASAP. Application materials include a CV, a 1–2 page research statement, up to 3 representative publications, and contact information for 2–3 references. Interested candidates should apply through the Academic Jobs Online posting and review the full job description for details on responsibilities and required materials.

just-published