Description

Autodesk Research is dedicated to developing cutting-edge technologies and pioneering new workflows and experiences for our customers across AEC, Design & Manufacturing and Media & Entertainment industries. As a multidisciplinary team comprising scientists, industry practitioners and software creators, we assist customers in reimagining the future of designing and making.

Position Overview

Visiting scholars will engage with Autodesk Research in a consultant capacity to provide expertise and thought leadership, broaden our understanding through key connections, and help Autodesk Research identify important engagement points with academia and industry. This is a six (6) month minimum contract position.

Responsibilities

      Advises on research methods and aid in designing interdisciplinary research projects that involve digital twins in construction, IoT, and AI

      Identify emerging research trends and propose strategic direction to align with industry needs and academic advancements

      Provides feedback and evaluation of research projects

      Facilitates knowledge exchange between academic, industry, and our Research group through workshops, guest lectures, and potential collaborations

      Explores research-to-field translation of our research into actionable insights for construction practitioners, policymakers, etc.

      Optionally provides skill development opportunities for Autodesk researchers.

Requirements

Minimum Qualifications

      7-12 years of combined academic and professional experience (4-6 years in a PhD program in Civil Engineering, Construction Management, Computer Science, with a strong background in digital twin during construction (on the job site))

      Publication record in peer-reviewed journals relevant to digital twin in construction and BIM

      Proficiency in data-driven modelling, digital twin platforms and construction data analytics

      Ability to work collaboratively in a multidisciplinary in an international research environment

      Academic institution IP and conflicts policies permit scholar to engage in work-for-hire consulting in scholar’s individual capacity

      A portfolio of research initiatives in construction, fueled by innovative advancements in Digital Twin technology.

The Ideal Candidate 

      Currently a professor, assistant professor, associate professor at a research university or an industry fellow with a digital twin of construction site background

      Recognized expert with a strong international reputation in digital twin research applied to construction or infrastructure systems.

      Demonstrated experience bridging academic research and practical implementation in construction projects.

      Experience with advanced technologies such as IoT integration, AI/ML, simulation modeling, or real-time monitoring in construction.

      Familiarity with digital construction standards and interoperability frameworks (e.g., IFC, ISO 19650).

      Skilled in communicating complex technical ideas to diverse stakeholders, including academics, industry professionals, and policymakers.