Duke University, Electrical and Computer Engineering
Position ID:
Duke-Electrical and Computer Engineering-POSTDOC_MGORLA [#31868]
Position Title:
Post Doctoral Associate
Position Type:
Postdoctoral
Position Location:
Durham, North Carolina 27708, United States of America
Subject Areas:
Computer Science / Augmented Reality, Programming Languages
Electrical and Computer Engineering / Machine Learning
Electrical and Computer Engineering / Machine Learning
Appl Deadline:
2026/06/30 23:59:59 (posted 2026/03/25)
Position Description:
Position Description
WORK PERFORMING: The Postdoctoral Associate will lead research and development efforts at the intersection of next-generation extended reality (XR) and healthcare. Responsibilities include designing, implementing, and evaluating XR systems for healthcare applications; leading software development efforts; mentoring graduate and undergraduate students; and contributing to interdisciplinary collaborations with clinicians and healthcare researchers. The postdoc is expected to publish in top-tier XR, HCI, and/or healthcare-related venues and help shape the strategic direction of the group’s healthcare XR research. ESSENTIAL JOB FUNCTIONS: This position involves a combination of sedentary and active work. Duties include extended periods of computer use for programming, data analysis, and writing. The role also requires setting up and managing experimental studies in laboratory and healthcare environments, which may involve standing, walking between locations (e.g., labs, clinics, or hospital spaces), and transporting or configuring research equipment (e.g., XR headsets, sensors, and computing devices). The ability to communicate effectively with research participants, clinicians, and team members is essential. Education/Training EXPERIENCE: Demonstrated track record of publications in leading XR, HCI, or related conferences/journals (e.g., IEEE VR, ISMAR, CHI, UIST, etc.) Experience developing XR systems (e.g., using Unity, Unreal Engine, OpenXR, or similar platforms) Experience working across the XR system stack, including lower-level components such as sensing, networking, systems optimization, or edge/cloud integration Experience incorporating machine learning into interactive or XR systems (e.g., perception, tracking, adaptive systems, user modeling) (Preferred) Experience collaborating with healthcare professionals or working on healthcare-related technologies EDUCATION: Ph.D. in Computer Science, Electrical/Computer Engineering, or a closely related field is required by the start date. Background in extended reality (AR/VR/MR), interactive systems, or immersive computing is strongly preferred. Training or demonstrated research experience in healthcare applications is a plus. SKILLS: Strong programming skills (e.g., C#, C++, Python) Proficiency in XR development frameworks (Unity, Unreal, OpenXR, etc.) Strong machine learning expertise, including experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and deploying ML in real-time or interactive systems Systems-level understanding of XR pipelines, including sensing, perception, networking, and/or edge/cloud computing Ability to design and optimize end-to-end XR systems (rather than relying solely on off-the-shelf frameworks) Strong written and verbal communication skills Ability to lead and manage software development efforts APPLICATION MATERIALS: Curriculum Vitae; Research statement, of 1–2 pages describing prior work and future interests; Up to 3 representative publications; Contact information for 2–3 referencesDuke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status.
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Application Materials Required:
Submit the following items online at this website to complete your application:
- Curriculum Vitae
- Research statement
- Three publication lists
Further Info: