postdoctoral research associate

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.

Ihre Aufgaben

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: https://uva.wd1.myworkdayjobs.com/UVAJobs/job/Charlottesville-VA/Research-Associate-in-Engineering-Systems-and-Environment_R0046365-1, 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 CPS Link Lab to support a research project on Context-Aware Augmented Reality for Cognitive Assistance in Emergency Response. The project focuses on combining AR technology with wearable sensing and embedded computing devices and artificial intelligence capabilities (speech processing, computer vision, natural language processing, and explainable machine learning) to develop a cognitive assistant system that can capture, integrate, and assesses incident data in real-time and provide prioritized aggregated situation awareness to first responders through timely smart notifications.

The candidate is expected to perform one or more of the following activities: generate novel research, contribute to writing papers and proposals, present research results at international conferences and PI meetings, build and maintain CPS testbeds and systems, mentor graduate students, and participate in a multi-disciplinary research team comprised of faculty, senior support staff, graduate students, and undergraduate researchers from different departments and technical backgrounds.

Ihr Profil

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., Candidates must have a Ph.D. in Computer Science, Electrical and/or Computer engineering by the start date.

• Research experience and significant implementation experience in Machine Learning, Artificial Intelligence, and Cyber-Physical Systems, is strongly preferred.
• Proficiency with development, implementation, and evaluation of advanced data analytics and machine learning algorithms in common programming languages (e.g., C/C++ and Python).
• Demonstrated ability to be self-motivated, willing to take the lead and work independently and as a team member.
• Demonstrated proficiency in high-quality technical writing and clear communication in English.
• Demonstrated experience in working with a diverse group of researchers and sponsors or varying technical expertise.

Kontakt

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 lb3dp@virginia.edu with the subject line: "Postdoctoral Position"., For more information please reach out to Drs. Campbell (bradjc@virginia.edu) and Heydarian (ah6rx@virginia.edu)., For more information please reach out and application instructions, please contact Assistant Professor Homa Alemzadeh at alemzadeh@virginia.edu.