Intern, Research Scientist - Construction Digital Twin Intern - AI & Data

Lifelancer
London
1 year ago
Applications closed

Related Jobs

View all jobs

Customer Experience Coordinator

Job Title:Intern, Research Scientist - Construction Digital Twin Intern - AI & Data

Job Location:London, UK

Job Location Type:Hybrid

Job Contract Type:Full-time

Job Seniority Level:Entry level

Job Requisition ID #

25WD84909

Position Overview

Location: London, UK or Toronto, Canada

The construction industry, a $15 trillion behemoth, is undergoing a digital transformation. We're seeking a passionate and innovative intern to explore how the latest advancements in AI and Computer Vision can be leveraged to improve this industry.

This internship will focus on developing and refining a Construction Digital Twin, a cutting-edge virtual representation of construction sites that integrates diverse data sources (e.g., 3D scans, sensor data, drone footage, BIM) and utilizes AI/ML to provide actionable insights.

As an intern with Autodesk Research, you will be part of a global team of researchers specializing in robotics, software engineering, and AEC (Architecture, Engineering, and Construction). You'll have the opportunity to work on research projects that have a tangible influence on the goals of the organization and the company at large.

Responsibilities

  • Assist in Developing and Refining Digital Twin Models: Contribute to the creation and optimization of digital twin models that represent construction sites
  • Research AI/ML Model Development: Explore and experiment with AI/ML models (e.g., CNNs, LSTMs) for tasks such as object detection and data analysis
  • Investigate Computer Vision Techniques: Study and implement Computer Vision techniques like object detection and photogrammetry
  • Conduct and Present Research: Perform research on cutting-edge AI/ML techniques for construction applications and present your findings to the team. Contribute to reports or academic papers

Minimum Qualifications

  • Pursuing a Master's or PhD in Computer Science, Data Science, Construction, Architecture, Civil Engineering, or a related field
  • Strong Computer Science (CS) fundamentals, with proficiency in Python for automation and data processing
  • Experience with Computer Vision tools (e.g., YOLO, Segment Anything, Detectron2) for object detection, segmentation, and video/image analysis
  • Understanding of AI/ML concepts, with hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow
  • Experience with Generative AI tools such as GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines
  • Strong analytical and problem-solving skills
  • Creative, flexible, and enjoy working with new technology

- HY1

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.

Diversity & Belonging

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging



Lifelancer (https://lifelancer.com) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

For more details and to find similar roles, please check out the below Lifelancer link.

https://lifelancer.com/jobs/view/2c6fdff52d67adcf9d130230ba8d3f7b

Apply on Lifelancer Platform

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in UAV Job Applications (UK Guide)

Whether you’re aiming for roles in UAV design, robotics/controls engineering, autonomy & computer vision, flight test & certification, embedded systems, operations, ground control software, systems integration or regulatory compliance, the way you present yourself in an application can make or break your chances — and that often happens before the hiring manager reads past your first few lines. In the UK UAV/jobs market, recruiters and hiring managers scan applications rapidly. They look for relevant experience, measurable delivery, technical credibility, domain awareness and safety/regulatory understanding — often making a decision within the first 10–20 seconds. This guide breaks down exactly what hiring managers look for first in UAV applications, why those signals matter, and how to structure your CV, portfolio and cover letter so you get noticed — not filtered out.

The Skills Gap in UAV Jobs: What Universities Aren’t Teaching

Unmanned Aerial Vehicles (UAVs) — commonly known as drones — are among the fastest-growing technologies globally. From infrastructure inspection and agriculture to emergency response, surveying, logistics and defence, UAVs are transforming how organisations gather data, deliver services and improve efficiency. In the UK, demand for UAV professionals is increasing rapidly. Yet despite a growing number of graduates with engineering, robotics or aerospace backgrounds, employers continue to report a persistent problem: Many graduates are not ready for real UAV jobs. This is not a reflection of intelligence or academic effort. It is a widening skills gap between what universities teach and what employers actually need in the UAV sector. This article explores that gap in depth — what universities do well, where programmes fall short, why the divide exists, what employers actually want, and how jobseekers can bridge the gap to build a successful career in UAVs.

UAV Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

UAVs (drones) have moved far beyond hobby flying. In the UK, they are now used every day for surveying, infrastructure inspection, construction progress, environmental monitoring, emergency response, film production, agriculture, offshore work & security. That growth has created a wide range of UAV job opportunities — and many of the most realistic routes into the sector are well suited to career switchers in their 30s, 40s & 50s. This article gives you a straight UK reality check on UAV careers: what roles genuinely exist, what training you really need, how long it takes to become employable, where the money is, what employers actually look for & whether age matters (usually far less than people assume).