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Northumbria University

University in UK

Research Associate - Thermochemical Conversion and Biomass Processing, Machine Learning and Systems Integration for Clean Energy

Academic & Institutional ResearchConfirmed live in the last 24 hours
Full-timeNewcastle upon Tyne, UK£27.3k - £31.5k

About the Job

Requirements

  • For Post 1, an MS or PhD in Chemical Engineering, Materials Engineering, Energy Engineering or a closely related discipline, or equivalent research experience.
  • For Post 1, demonstrated experience in thermochemical conversion of biomass, specifically pyrolysis, torrefaction or gasification.
  • For Post 1, proficiency in thermogravimetric analysis, kinetic modelling and thermodynamic analysis.
  • For Post 1, experience with materials characterisation techniques including Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy with energy-dispersive X-ray spectroscopy, or Brunauer–Emmett–Teller surface area analysis.
  • For Post 1, a strong publication record commensurate with career stage.
  • For Post 1, ability to work independently and manage experimental programmes.
  • For Post 1, excellent written and verbal communication in English.
  • For Post 2, an MS or PhD in Chemical Engineering, Data Science, Energy Systems, Computer Science or a closely related discipline, or equivalent research experience.
  • For Post 2, demonstrated experience in machine learning applied to engineering or energy systems, including classification, regression and optimisation methods.
  • For Post 2, proficiency in Python and relevant machine-learning libraries such as scikit-learn, TensorFlow, PyTorch or equivalent.
  • For Post 2, experience with process data analysis and handling industrial or experimental datasets.
  • For Post 2, a strong publication record commensurate with career stage.
  • For Post 2, ability to translate complex model outputs into practical engineering guidance.
  • For Post 2, excellent written and verbal communication in English.

Responsibilities

  • For Post 1, conduct thermogravimetric analysis at multiple heating rates to characterise cotton stalk and sugarcane bagasse pyrolysis and torrefaction kinetics.
  • For Post 1, develop and validate kinetic and thermodynamic models for the torrefaction process under industrially relevant conditions.
  • For Post 1, characterise feedstocks and bio-coal products using X-ray diffraction, Fourier-transform infrared spectroscopy, Brunauer–Emmett–Teller surface area analysis, scanning electron microscopy with energy-dispersive X-ray spectroscopy, and proximate/ultimate analysis.
  • For Post 1, determine gross calorific value, moisture, ash, volatile matter and sulphur content of bio-coal products under varying process conditions.
  • For Post 1, investigate how feedstock blend, moisture content, torrefaction temperature and residence time affect bio-coal quality and consistency.
  • For Post 1, contribute to peer-reviewed publications and project reports.
  • For Post 1, support knowledge transfer activities with the University of Kamalia and industrial partners in Pakistan.
  • For Post 2, develop machine-learning predictive models, including Random Forest, Gradient Boosting and Neural Networks, to predict bio-coal quality from feedstock properties and process parameters.
  • For Post 2, build and validate process optimisation models integrating torrefaction conditions, feedstock blend and downstream combustion performance.
  • For Post 2, design and implement a data acquisition and management framework for the SAFER PLUS demonstration plant at the University of Kamalia.
  • For Post 2, develop real-time process monitoring tools and dashboards for plant operators in Pakistan.
  • For Post 2, apply Python-based data science tools for model training, validation and deployment.
  • For Post 2, collaborate with the thermochemical team to identify key process variables and translate model outputs into actionable operating guidance.
  • For Post 2, contribute to peer-reviewed publications, particularly at the intersection of machine learning and biomass energy systems.
  • For Post 2, support digital capacity building with Pakistani partner institutions.

Desired Qualifications

  • For Post 1, experience with agricultural residue feedstocks, particularly cotton stalk, sugarcane bagasse or wheat straw.
  • For Post 1, familiarity with Pakistani or South Asian agricultural and industrial contexts.
  • For Post 1, experience with proximate and ultimate fuel analysis for industrial applications.
  • For Post 1, knowledge of cement, textile or brick kiln combustion requirements.
  • For Post 2, experience with biomass, thermochemical or energy conversion processes.
  • For Post 2, familiarity with Internet of Things sensor integration and real-time data pipelines.
  • For Post 2, experience with process simulation tools such as Aspen HYSYS, MATLAB or COMSOL.
  • For Post 2, knowledge of South Asian industrial contexts or experience working with international research partners.

About the Company

Northumbria University

University in UK

Northumbria University is a public research university in Newcastle upon Tyne, United Kingdom. It offers undergraduate, postgraduate, and research degrees across a broad range of disciplines.

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