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

Lifelancer
London
1 year ago
Applications closed

Related Jobs

View all jobs

NLP Research Intern

Summer Internship Programme 2026 – Net Zero Data Science

Summer Internship Programme 2026 – Net Zero Data Science

Data Analyst - 12 Month Student Placement

Data Engineer

Junior Ecommerce and Marketplace Data Analyst

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 Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.