Research Fellow - Chemical Engineering

The post holder is expected to contribute to the achievement of the School's research strategy by developing and undertaking new research activities on the subject of ‘solid-liquid flows'.

The aim is to explore and study in detail the multi-scale flow of solid-liquid suspensions experimentally and theoretically.The project is predominantly experimental and requires the development of experimental rigs and techniques, and the use of various instruments and methods to study solid-liquid flow behaviour and rheology in flow systems of varying geometries and scales.The work will also involve the development of analytical models to describe such complex flows.

Over the lifetime of the project, the postholder will be expected to collaborate with our academic partners at the University of Surrey and at Daresbury Laboratory and to interact with industrial collaborators.

Person Specification

Essential Skills:

• A strong first degree in Chemical Engineering or a relevant subject.
• A PhD in a relevant research area, or equivalent
• A strong background in fluid mechanics and related subjects.
• Strong background in advanced data analysis techniques.
• Strong proven track record in a relevant research area.
• Sufficient breadth and depth of specialist knowledge in the discipline and/or research methods and techniques relevant to the project's area of research.
• Good knowledge combined with substantial experience and aptitude in use of computer programming tools such as Matlab.
• Have excellent communication skills both oral and written: ability to communicate complex information clearly, both orally and in writing.
• Strong scientific vision and creativity.
• Strong experimental skills.
• Strong theoretical and modelling skills.
• Able to work both independently and as part of a team.
• Ability to communicate complex information clearly, both orally and in writing.

Desirable Skills:

• Experience with two-phase solid-liquid flow systems is highly desirable.
• Experience in developing, constructing and running complex experimental rigs.
• Previous experience of both analytical and computational modelling is highly desirable.
• Good knowledge and experience of programming in C++ or other languages is highly desirable.