Skip to main content

PhD in Robotic Vision

Project Overview:

This PhD aims to develop an advanced SfM pipeline that harnesses artificial intelligence to enhance feature extraction, matching, and the speed of large-scale 3D reconstruction. Building on existing tools like COLMAP, you will create deep learning architectures tailored to challenging real-world conditions such as complex lighting, vast environments, and dynamic scenes.

The primary applications include construction monitoring and asset management, where high-precision 3D models aid in tracking project progress, evaluating structural integrity, and facility management. The resulting technology will support rapid, accurate spatial mapping and benefit sectors such as robotics, AR/VR, cultural heritage preservation, geospatial analysis, and digital twin development.

Location:

Heriot-Watt Dubai Campus. Please note that relocation to Dubai for the full duration of the project is required.

Duration:

48 months

Mode:

Full-time PhD only

Required Skills:

  • Computer Vision: Strong understanding of classical SfM algorithms, multi-view geometry.
  • Deep Learning & AI: Experience with neural network architectures (e.g., CNNs, Transformers) and frameworks (PyTorch, TensorFlow).
  • High-Performance Computing: Familiarity with GPU programming (CUDA) and parallel processing.
  • Mathematics & Algorithms: Solid grounding in linear algebra, optimization, and geometric methods.
  • Software Development: Proficiency in C++ and/or Python, with knowledge of version control and CI/CD pipelines.

Expected Deliverables:

  • Development of an AI-enhanced SfM pipeline integrating state-of-the-art feature detection and matching techniques.
  • Performance benchmarking and validation against existing solutions.
  • Tools for large-scale data processing, optimization, and reliable 3D reconstruction.
  • Automated quality control systems to ensure high accuracy.
  • Demonstrations based on real-world datasets to support industry applications like digital twins and asset management.
  • Academic contributions through publications and open-source software releases.

Entry Requirements:

  • Bachelor’s degree with a 2:1 UK classification or higher in Computer Science, Engineering, or related fields.
  • Proof of English language proficiency (minimum IELTS 6.5, no individual component below 6.0) if applicable.
  • Candidates are required to be eligible for visa and Police Clearance Certificate (PCC) in the UAE.
Application Documents
  • Updated CV
  • Transcripts and degree certificates (translated into English if not already)
  • Passport copy (front cover and information pages)
  • Motivation Letter
  • Two reference letters
  • Evidence of English proficiency (if applicable)

Incomplete applications will not be considered. Please submit all documents via the online application system.

In the proposal section, please upload your motivation letter.

Application Process & Deadline
Recruitment Process

First Round – Technical Interview:
An hour-long interview with Heriot-Watt Dubai staff to assess your technical skills and problem-solving ability. Candidates will prepare a 10-minute presentation about their background and project relevance, followed by rapid-fire questions on topics like mathematics, computer vision, machine learning, and coding. This interview may be recorded for internal review.

It’s essential to prepare thoroughly, as quick thinking and proficient use of pertinent terminology will be assessed. During this part of the interview, you'll need to demonstrate your ability to process questions swiftly and articulate your thoughts clearly.

Second Round – External Supervisor Meeting:
Selected candidates will meet with an external supervisor at Expo City Dubai to discuss motivation, research interests, and fit for the project.

Why Join Us?

Heriot-Watt University Dubai is establishing a new Centre for Doctoral Training in Robotics and AI, aligned with the UAE’s ambitious National AI Strategy 2031. This program offers a unique opportunity to contribute to a national effort to lead in AI innovation, with strong links to industry and government partners.

Building on the success of the UK Edinburgh Centre for Robotics—graduating over 150 PhDs—our Dubai initiative focuses on real-world, industry-relevant research. As a student, you will develop critical skills, create valuable intellectual property, and be part of shaping AI-driven solutions for sectors like construction, infrastructure, and digital twins, all while contributing to the UAE’s vision for a sustainable, innovation-led future.