Bugra Alkan
7 months ago
Industrial Systems Intelligence London South Bank University (LSBU) in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full tuition fee waiver for four years, including the writing-up year
Deadline
Expired
Country
United Kingdom
University
University Name
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Where to contact
Official Email
Keywords
Computer Science
Mechanical Engineering
Electrical Engineering
Deep Learning
Artificial Intelligence
Computer Vision
Additive Manufacturing
3d Printing
Digital Manufacturing
Digital Twin Technology
Fault Detection
Robotics
Machine learning
About this position
Funding details
Full tuition fee waiver for four years, including the writing-up year
How to apply
Prospective applicants are advised to email [email protected] before submitting an application
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?? London South Bank University (LSBU)
??? The position will remain open until filled, the application deadline for September 2025 entry is 30 June 2025.
?? Reference: CTE_DDRC_Bugra_001_25_26
I am currently recruiting a highly motivated PhD researcher to join my Industrial Systems Intelligence Lab at London South Bank University. This opportunity is offered under the LSBU Chancellor’s Scholarships scheme, which provides a full tuition fee waiver for four years, including the writing-up year.
The successful candidate will contribute to the development of an AI-driven digital twin framework for real-time defect detection in Fused Deposition Modelling (FDM) additive manufacturing. The research will involve deep learning, high-resolution process monitoring, and adaptive feedback control to optimise 3D print quality during production. This work will also be aligned with an ongoing EU Horizon project focusing on hybrid manufacturing robotic workstations equipped with advanced control and AI capabilities.
Please see below for further details about the PhD project: https://lnkd.in/dwPyX22T
Key Information:
• Support: Full tuition fee waiver for four years (including the writing-up year)
• Please note: No stipend or maintenance funding is included
• Host: School of Computer Science and Digital Technologies, College of Technology and Environment
• Supervisor: Dr Bugra Alkan
Candidate Profile:
• A strong academic background in machine learning, deep learning, or computer vision
• Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow
• Interest in smart manufacturing, digital twins, or FDM-based additive manufacturing technologies
• Open to both UK and international applicants
Before Applying
?? Prospective applicants are advised to email [email protected] before submitting an application, including a brief summary of their academic background, relevant experience, and motivation for pursuing this PhD project.
Application:
?? Apply via the LSBU course page: General Engineering PhD - https://lnkd.in/eBrsNKrZ
?? Please quote reference CTE_DDRC_Bugra_001_25_26 in your application
# PhDOpportunity # AdditiveManufacturing # DigitalTwin # MachineLearning # DeepLearning # ComputerVision # AIResearch # SmartManufacturing # FDM # PhDRecruitment # ResearchScholarship # EngineeringPhD # LSBU # UKPhD # AcademicJobs # RoboticsAI
?? For details of another funded PhD opportunity I am recruiting for, please see:
https://lnkd.in/d6adwg4w