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University of Northumbria · Newcastle upon Tyne, England, United Kingdom
About the Project
SAFER PLUS is a £1.25 million Innovate UK-funded project developing Pakistan's first full-scale plant for converting agricultural waste cotton stalks and sugarcane bagasse into engineered bio-coal pellets through torrefaction. The bio-coal directly replaces imported fossil coal in textile mill boilers and brick kilns at 40–50% lower cost, with substantially reduced emissions. The demonstration hub is being established at the University of Kamalia, South Punjab, in partnership with Eco Research Limited and Pakistani textile industry partners.
Northumbria University is now recruiting two Research Associates to join the SAFER PLUS team. These are distinct but complementary roles, and candidates should clearly indicate in their application which post they are applying for.
Post 1: Research Associate in Thermochemical Conversion and Biomass Processing
You will lead the scientific characterisation and optimisation of the torrefaction process for Pakistani agricultural waste feedstocks. Working directly with the Principal Investigator, you will design and conduct experiments, produce validated fuel quality data, and generate the technical evidence base that underpins SAFER PLUS's commercial and regulatory case.
Key
Conduct thermogravimetric analysis (TGA) at multiple heating rates to characterise cotton stalk and sugarcane bagasse pyrolysis and torrefaction kinetics
Develop and validate kinetic and thermodynamic models for the torrefaction process under industrially relevant conditions
Characterise feedstocks and bio-coal products using XRD, FTIR, BET surface area analysis, SEM-EDS and proximate/ultimate analysis
Determine gross calorific value (GCV), moisture, ash, volatile matter and sulphur content of bio-coal products under varying process conditions
Investigate the effect of feedstock blend, moisture content, torrefaction temperature and residence time on bio-coal quality and consistency
Contribute to peer-reviewed publications and project reports
Support knowledge transfer activities with the University of Kamalia and industrial partners in Pakistan
Essential
MS/PhD in Chemical Engineering, Materials Engineering, Energy Engineering or a closely related discipline (or equivalent research experience)
Demonstrated experience in thermochemical conversion of biomass, specifically pyrolysis, torrefaction or gasification
Proficiency in TGA, kinetic modelling and thermodynamic analysis
Experience with materials characterisation techniques including FTIR, XRD, SEM-EDS or BET
Strong publication record commensurate with career stage
Ability to work independently and manage experimental programmes
Excellent written and verbal communication in English
Desirable
Experience with agricultural residue feedstocks particularly cotton stalk, sugarcane bagasse or wheat straw
Familiarity with Pakistani or South Asian agricultural and industrial contexts
Experience with proximate and ultimate fuel analysis for industrial applications
Further information about the requirements of the role is available in the
person specification
.
Post 2: Research Associate in Machine Learning and Systems Integration for Clean Energy
You will develop and apply machine learning and data-driven modelling approaches to optimise the integrated SAFER PLUS energy system from feedstock characterisation through torrefaction to downstream combustion performance. You will work with experimental data generated by the project team and operational data from the demonstration plant to build predictive models that maximise bio-coal quality and system performance.
Key
Develop ML predictive models (including but not limited to Random Forest, Gradient Boosting, Neural Networks) to predict bio-coal quality from feedstock properties and process parameters
Build and validate process optimisation models integrating torrefaction conditions, feedstock blend and downstream combustion performance
Design and implement a data acquisition and management framework for the SAFER PLUS demonstration plant at the University of Kamalia
Develop real-time process monitoring tools and dashboards for plant operators in Pakistan
Apply Python-based data science tools for model training, validation and deployment
Collaborate with the thermochemical team (Post 1) to identify key process variables and translate model outputs into actionable operating guidance
Contribute to peer-reviewed publications, particularly at the intersection of ML and biomass energy systems
Support digital capacity building with Pakistani partner institutions
Essential
MS/PhD in Chemical Engineering, Data Science, Energy Systems, Computer Science or a closely related discipline (or equivalent research experience)
Demonstrated experience in machine learning applied to engineering or energy systems classification, regression and optimisation methods
Proficiency in Python and relevant ML libraries (scikit-learn, TensorFlow, PyTorch or equivalent)
Experience with process data analysis and handling industrial or experimental datasets
Strong publication record commensurate with career stage
Ability to translate complex model outputs into practical engineering guidance
Excellent written and verbal communication in English
Desirable
Familiarity with IoT sensor integration and real-time data pipelines
Knowledge of South Asian industrial contexts or experience working with international research partners
Further information about the requirements of the role is available in the
person specification
.
Opportunities available to you
Both posts are fixed-term for 22 months, based at Northumbria University's Newcastle upon Tyne campus with opportunities for fieldwork visits to Pakistan. Northumbria University is ranked in the Top 10 in the UK for Student Experience and Top 15 for Teaching Quality (Times Good University Guide 2026). The SAFER PLUS team offers an internationally connected research environment with active programmes in Pakistan, Saudi Arabia and the UK.
35 days annual leave plus bank holidays (pro rata)
Access to Northumbria University research facilities and networks
Opportunity to contribute to a high-profile internationally funded project with direct development impact
Dr Jibran Khaliq
, Associate Professor, School of Engineering, Physics & Mathematics
Dr Shahid Rasul
, Associate Professor, School of Engineering, Physics & Mathematics
SAFER PLUS is funded by Innovate UK under the Energy Catalyst Round 11 programme.
To apply for this vacancy please click 'Apply Now'
. Your application should include a covering letter and a CV.
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Details
| Company | University of Northumbria |
| Location | Newcastle upon Tyne, England, United Kingdom |
| Type | FULL TIME |
| Niche | tech |