FAQs
Where is this internship located?
The internship is located in London, UK or Toronto, Canada.
What is the focus of the internship?
The internship focuses on developing and refining a Construction Digital Twin, leveraging advancements in AI and Computer Vision to improve the construction industry.
What qualifications are required for this internship?
Candidates must be pursuing a Master's or PhD in Computer Science, Data Science, Construction, Architecture, Civil Engineering, or a related field, and have strong Computer Science fundamentals along with proficiency in Python.
What specific tools or frameworks should interns be familiar with?
Interns should have experience with Computer Vision tools such as YOLO, Segment Anything, and Detectron2, as well as familiarity with AI/ML frameworks like PyTorch or TensorFlow.
Is experience with Generative AI tools required?
Yes, experience with Generative AI tools such as GPT, DALL-E, or Gemini, and an understanding of the underlying Machine Learning pipelines are necessary.
What kind of research responsibilities will the intern have?
The intern will conduct research on cutting-edge AI/ML techniques for construction applications and present findings to the team, contributing to reports or academic papers.
Are there any specific programming skills required for this position?
Yes, candidates should be proficient in Python for automation and data processing.
What qualities are desirable in an intern for this position?
Ideal candidates should be creative, flexible, possess strong analytical and problem-solving skills, and enjoy working with new technologies.
Will the intern work independently or as part of a team?
The intern will be part of a global team of researchers specializing in robotics, software engineering, and AEC (Architecture, Engineering, and Construction) and will collaborate on various research projects.
Is there a specific salary range for this internship?
The salary is competitive and varies based on the candidate’s experience, educational level, and geographic location, but the specific range is not disclosed in the job description.