Postdoc and Faculty Link Lab Opportunities

Please see below for current openings in the Link Lab

Postdoc Positions

Postdoctoral Research Associate - Mobile Sensing for Personalized Digital Mental Health

The Sensing Systems for Health Lab at the University of Virginia is recruiting a highly motivated candidate with experience in mobile / wearable sensing, software development, machine learning, and signal processing to work on funded research focused on personalized digital mental health. Specifically, the grant focuses on passively sensing social anxiety in daily life and providing a mobile phone-based JITAI to reduce anxious thinking.

Candidates will have a Ph.D. in computer science, information science, biomedical informatics, or related field. They should have demonstrated excellence in one or more of the following fields as evidenced by publications in top tier journals and conferences: machine learning, signal processing, behavioral science, mobile / wearable sensors, human factors, or human-centered computing. The successful applicant will collaborate with an interdisciplinary team to develop software and computational models that leverage data from mobile devices like smartphones and smartwatches to deliver just-in-time interventions for anxiety disorders.

Interested candidates should send their detailed CV, a cover letter describing training and research experience, and the names and contact information of three references. Please address correspondence to Dr. Laura Barnes and send by email to with the subject line: "Postdoctoral Position".

Postdoctoral Research Associate - Digital Twins for Large Scale Infrastructure Systems

The Infrastructure Simulation SEnsing, Evaluation Laboratory (I-S2EE) investigates the opportunities provided by visual sensing technologies, computational mechanics, and artificial intelligence to tackle with the increasing multiplex problem in the existing built infrastructure. I-S2EE laboratory within the Department of Engineering Systems and Environment at the University of Virginia seeks a Postdoctoral Research Associate to participate in a multi-disciplinary collaborative research projects related to informative digital twinning for large-scale structural systems. The candidate is expected to engage in research activities that leverage tools from the domains of vision-based experimental mechanics, model-based computational mechanics, and computational vision strategies such as deep learning, and mixed reality visualization. Prior experience with experimental testing of civil and/or mechanical systems is preferred and candidates with strong programming and analytical skills are encouraged to highlight relevance in the application materials.This position will conduct research under the supervision of Devin Harris, Ph.D., Professor and Chair of the Department of Engineering Systems and Environment - Principal Investigator (PI) and will include:

- Advocate cutting-edge visual sensing technology and data analysis to solve problems related to the built environment, with a particular focus on improving the resilience, sustainability, and safety of engineering structures and infrastructure.
- Collaborate with the team on multidisciplinary research consisting of image-based evaluation methods, visual recognition, data analytics, finite element simulations and experimental tests.
- Creating a process for identifying and predicting damage, considering both physical factors and surrogate models that utilize deep learning.
- Gaining insight into the fundamental mechanisms of structural damage propagation and fatigue.
- The chosen candidate is required to take the lead and contribute to the development and composition of research proposals that receive external funding. This task involves identifying suitable funding opportunities, seeking collaborative partners, gathering initial data, and drafting proposals - Assist supervisor in writing scholarly articles and research proposals.
- Conduct weekly meeting between PI, students and other researchers. This includes supporting supervision of graduate and undergraduate researchers to help guide their projects, progress, papers and to develop a path forward in their research.

Link for additional information and to apply:

Postdoctoral Research Associate - IoT for Smart Cities and Climate Action

We are hiring a postdoc in the area of IoT for Smart Cities and Climate Action at the University of Virginia.

This position is one of the open “climate fellow” postdoc positions supported by the UVA Environmental Resilience Institute as part of the university’s Climate Collaborative initiative. The successful candidate position will work with a team of faculty, graduate, and undergraduate students on a “smart, IoT-enabled campus” project to create a community-level smart cities test-bed that can support research studies at the intersection of IoT technologies, energy consumption, CO2 reduction and public health. 

The candidate has the opportunity to expand on existing projects, initiate new research projects in the related fields, co-advise graduate and undergraduate students, or co-teach related courses, if interested. The candidate will have the opportunity to also collaborate with researchers in UVA Link Lab, the state of the art cyber physical systems research lab at UVA. 

Candidates with backgrounds in areas related to smart buildings, smart and connected communities, urban analytics, and high resolution IoT data management with expertise in machine learning, building performance simulation, and/or air quality modeling are highly encouraged to apply.

To apply, please click here.

For more information please reach out to Drs. Campbell ( and Heydarian (

Postdoctoral Research Associate - Augmented Reality for Cognitive Assistance in Emergency Response

The Departments of Electrical and Computer Engineering and Computer Science in the School of Engineering and Applied Science at the University of Virginia seek to hire a postdoctoral research associate in the Link Lab ( in the area of Learning Enabled Cyber-Physical Systems (CPS) for Smart Health.

This position will support research projects on design and validation of Context-Aware Cognitive Assistant Systems that combine wearable sensing, embedded computing, and artificial intelligence capabilities (such as speech processing, computer vision, natural language processing, and explainable machine learning) to provide situational awareness and safety assurance in the human-in-the-loop CPS, with applications to emergency response.

The candidate is expected to produce high quality and novel research ideas for publications in top-tier conferences and journals, contribute to writing research grant proposals, present research findings at international conferences and PI meetings, and build and maintain CPS testbeds in collaboration with a multi-disciplinary team of faculty, graduate students, and undergraduate researchers. They will also be expected to take a leadership role within the lab, which involves assisting in the training of graduate and undergraduate students.

Link for additional information and to apply: