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About this position

Funded PhD Opportunity at Birmingham City University, UK

I am pleased to announce a 36-month fully funded PhD Studentship (£20,780 tax-free stipend + full tuition) on:

Smart Urban Energy Systems: Integrating Deep Learning and Digital Twins for Positive Energy Districts

This research will combine Deep Learning, Digital Twins, and real-time energy data to help transforming cities into positive energy hubs.

Entry Requirements:
·       Master’s degree in Computer Science, IT, AI, Data Science, or computing related fields
·       Proven skills in Deep Learning (CNNs, GNNs, DRL) and Python programming
·       Experience or strong interest in Digital Twins, IoT data, and real-time system simulation
·       Ability to work with large-scale data, predictive modelling, and statistical analysis
·       Knowledge of energy systems, optimisation, or urban analytics is a plus

Desirable Candidate:
·       Hands-on experience with Digital Twin platforms, simulation tools, or urban energy modelling
·       Published or presented work in AI, smart cities, or energy systems
·       Passion for applying AI to real-world sustainability challenges

Location: Birmingham City University
Start Date: 2nd February 2026
Deadline: 17th September 2025
Apply Here: https://lnkd.in/egCYNHk9

Supervisors: Dr. Syed Attique Shah (main), Dr Vahid Javidroozi (co-supervisor), Muhammad Ajmal Azad (co-supervisor)

If you are passionate about AI, Machine Learning, Deep Learning, digital innovation, and building sustainable cities, I would love to hear from you.

Enquiries: [email protected] (subject: “PhD studentship: SMARTPED”)

Please note that applications will only be accepted via the official application process. Kindly submit your application through the provided link, as applications sent via email will not be considered.
Apply Here: https://lnkd.in/egCYNHk9

# PhDOpportunity
# PhD
# AI
# DeepLearning
# DigitalTwin
# PositiveEnergyDistricts
# NetZero
# EnergyInnovation
# SmartCities

Funding details

This is a fully funded PhD studentship for 36 months, offering a £20,780 tax-free annual stipend plus full tuition coverage at Birmingham City University.

What's required

Applicants must hold a Master’s degree in Computer Science, IT, AI, Data Science, or a closely related computing field. Proven skills in Deep Learning (CNNs, GNNs, DRL) and Python programming are required. Experience or strong interest in Digital Twins, IoT data, and real-time system simulation is expected. Candidates should be able to work with large-scale data, predictive modelling, and statistical analysis. Knowledge of energy systems, optimisation, or urban analytics is a plus. Desirable attributes include hands-on experience with Digital Twin platforms, simulation tools, or urban energy modelling, and a record of published or presented work in AI, smart cities, or energy systems. A passion for applying AI to real-world sustainability challenges is encouraged.

How to apply

Submit your application via the official application link provided. Applications sent by email will not be considered. For enquiries, contact [email protected] with the subject 'PhD studentship: SMARTPED'.

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