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Applying Artificial Intelligence in Chemical Engineering PhD

Applying Artificial Intelligence in Chemical Engineering PhD

Key information
DATA SOURCE : IDP Connect

Qualification type

PhD/DPhil - Doctor of Philosophy

Subject areas

Artificial Intelligence (Ai) Chemical Engineering

Course type

Research

Course Summary

This course will investigate cutting-edge machine learning and develop Artificial Intelligence for application in chemical process prediction and reactor control automation. This pioneering research project will investigate innovative machine learning techniques, supported by a world class research group, to design and study AI for enhancing advanced reactor control systems. The results of the project will be validated experimentally and by modelling. The research will involve the student generating the state-of-the-art AI programmes for reaction prediction and process control that are optimised, environmentally conscious, low cost, and high performing. The research will be student driven and as such there is scope to broaden and deepen the scope of these objectives based on new information that comes to light during the course of the research.

The successful candidate will work within Cranfield’s state-of-the-art energy research facilities, where we own and conduct research on the UK’s largest chemical and calcium looping facilities. This research supports existing work going on within the Energy and Power department at Cranfield University and is a unique take the problem at hand. Cranfield University has an outstanding academic reputation, which is bolstered by our close relations with industry. The research our students carry out for industry, government and businesses provides them with a real-world learning environment, allowing them to develop as professionals and then transfer their knowledge into the global economy. There is great potential for AI technology in industry and the work conducted here is a significant precursor for its future deployment in smart reactors and control devices. Research and development of AI in chemical engineering will lead to new job opportunities in the burgeoning field, with this research project being a part of the future solution. The student involved in this research will be contribute to several high-impact publications, conference presentations, and will influence the direction of future grant proposals.

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This Network brings together both research students and staff, providing a platform for our researchers to share ideas, identify opportunities for collaboration and create smaller communities of practice. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

Different course options

Full time | Cranfield University | 3 years | 30-SEP-19

Study mode

Full time

Duration

3 years

Start date

30-SEP-19

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£4,260

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£18,870

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need to have a minimum 2.1 degree in Chemical Engineering or any other engineering/scientific/computational based subject. We are looking for students with aspiration as well as intellectual aptitude. The candidate should possess an innovative approach to problem solving, well developed technical skills, a willingness to work in a cross-disciplinary research setting.

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