Optimisation and system design for bespoke dual function materials for direct air carbon capture and utilisation

Direct Air Capture (DAC) is an exciting technology that will play a large part in the transition to net-zero by capturing carbon directly from the air for storage or utilisation. Currently DAC presents high costs due to the dilute CO₂ concentration in air. New dual function materials (DFMs) are being developed at the University of Surrey that allow for carbon capture and catalytic conversion to higher-value chemicals in a single reactor. Applied to DAC, this approach can enable the production of carbon negative chemicals directly from the air, also providing a potential revenue stream to offset the costs of DAC. As part of an EPSRC Adventurous Energy project, this work will use deterministic optimisation techniques, surrogate modelling and process systems engineering to help assess, design, and guide future directions in DAC technologies using bespoke DFMs for high-value chemical synthesis.

The successful candidate will be supervised by Dr Michael Short (https://www.surrey.ac.uk/people/michael-short ) and Dr Melis Duyar (https://www.surrey.ac.uk/people/melis-s-duyar). The Department has a long history of excellence in computational and process systems research. We have a vibrant, interdisciplinary group of researchers working in a variety of areas to solve global. The Information and Process Systems Engineering Research Theme holds regular research seminars and social events to provide a supportive and friendly team atmosphere. You will receive comprehensive research training and opportunities to participate in conferences, workshops, and seminars to develop professional skills and research network.

Applicants are expected to hold a first or upper-second class degree in a relevant discipline (or equivalent overseas qualification), or a lower second plus a good masters degree (distinction normally required).

We are seeking motivated applicants with interests in computational optimisation and process systems engineering. There will be opportunities to collaborate with world-class researchers at other leading academic institutions and industrial partners. A degree in Chemical Engineering, Computer Science, Mathematics or other engineering/science disciplines, and some coding experience in a programming language (e.g., Python, GAMS, MATLAB, etc.) are essential. Experience in mathematical optimisation modelling, open-source software, and/or process simulation is desirable.

UK, EU and international students are welcome to apply.

Language requirements:

IELTS Academic: 6.5 or above (or equivalent) with 6.0 in each individual category.

Information and Process Systems Engineering