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culture of academic excellence and integrity. Job Requirements • PhD in n Computer Science, Artificial Intelligence, Computer Vision, Natural Language Processing, or allied disciplines is required
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knowledge in basic soil mechanics is required. Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous Knowledge of physical modelling will be advantageous. Key
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team to develop/produce/investigate extraction and fractionation of mung bean/rice/spent barley for improved functionality, generate process data for future life-cycle assessment and techno-economic
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the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and
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hydrodynamic modelling and sediment transportation. ii. Model Validation: Validation of DHI Mike Model with past historical data iii. Data Analysis: Process and analyze coastal and ocean wave data to improve
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SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics. ii. Data Analysis: Process and analyze
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will be part of the research team to optimise a food extrusion process for high-quality protein-based edible inks and establish the extrusion-based structuration of algae/soybean/mung bean proteins
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neuroscience, electrical engineering, biomedical engineering, computer science, physics or related fields). • A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position
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and energy efficiency projects in the following areas: Industrial systems such as: Chilled Water System, Cooling and Refrigeration System, Mechanical Ventilation System, Heating system, Process
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the project iii. To co-supervise Final Year project students with PI and co-PIs. • Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations for the various process in