Pleased to share two exciting Research Assistant positions within the Department of Computer Science at Birmingham City University (STEAMhouse).
These roles are part of a DTNet+ funded project focused on AI-enhanced digital twins for Positive Energy Districts, bringing together artificial intelligence, digital twin modelling, energy systems, sustainability, and real-world innovation.
🔹 Position 1: Research Assistant in AI and Digital Twin Modelling
Reference: ABCE26025
Focus: AI/ML, deep learning, digital twin prototype development, predictive modelling, intelligent optimisation, and large-scale data analysis.
Link: https://lnkd.in/eyhNnrud
🔹 Position 2: Research Assistant in Energy Systems and Digital Twin Applications
Reference: ABCE26026
Focus: energy systems, sustainability, real-time and historical data integration, pilot case studies, fieldwork, system testing, validation, and performance evaluation.
Link: https://jobs.bcu.ac.uk/vacancy.aspx?ref=ABCE26026
📍 Location: Belmont Row (STEAMhouse), Birmingham City University
⏳ Contract: Six-month fixed-term, part-time role, 29.6 hours per week
💷 Salary: £38,050 to £44,131 per annum, pro rata
📅 Closing date: 23:59 BST, Wednesday 03 June 2026
🗓 Interviews: Provisionally scheduled for 15 June 2026
This is an excellent opportunity for motivated researchers who want to contribute to applied, interdisciplinary research with direct relevance to AI, digital twins, smart cities, sustainability, and future energy systems.
For informal enquiries, please contact me at:
syedattique.shah@bcu.ac.uk
