Opportunities for Duke University undergraduate and MS students:
We are always looking for creative, energetic, and hard-working BS and MS students to join the lab. Interested students should email Professor Gorlatova with their CV, academic transcripts, and a brief statement of research interests relevant to the lab’s work.
Opportunities for PhD students:
We typically recruit 1–3 PhD students each year. Prospective students interested in joining the I3T Lab should apply to the Department of Electrical and Computer Engineering and indicate their interest in working with Professor Gorlatova in their application.
Opportunities for postdocs:
We are currently looking for a postdoc in the area of collaborative networked context-aware augmented reality in healthcare applications. These positions are best suited for individuals with a PhD in Electrical and Computer Engineering, Computer Science, or a closely related field, and with experience in low-latency-oriented communications and networking solutions for emerging mobile applications. Familiarity with machine learning for mobile systems or pervasive sensing, such as real-time human activity recognition, real-time edge video analytics, or ML-based QoS/QoE prediction, is desired. Familiarity with augmented and virtual reality technologies, such as Unity or Unreal Engine, mobile AR SDKs, AR/VR-related QoS/QoE, or V/VI-SLAM, is a plus. The position is best suited for candidates who would be excited to lead a large-scale interdisciplinary effort.
Interested candidates should email Professor Gorlatova with an up-to-date CV, academic transcripts, and two representative publications showcasing their best work.
Opportunities for research associates:
We are currently looking for research associates with B.S. or M.S. degrees in Computer Science, Electrical and Computer Engineering, or a closely related field, in two areas related to augmented reality in healthcare applications: (1) Unity-based collaborative augmented reality application development, and (2) Development and evaluation of augmented reality applications with ML backends (object detection, scene segmentation, LMMs).
Interested candidates should email Professor Gorlatova with their CV, academic transcripts, and a brief statement of research interests relevant to the position they are applying for.
Opportunities for visiting students:
At this time, only self-funded candidates are being considered for visiting positions in the I3T Lab. Interested applicants should email Professor Gorlatova with an up-to-date CV, academic transcripts, and a brief description of their research interests relevant to the lab’s work.