Computational Modeller

**Job Purpose**

The Midlands Industrial Ceramics Group has secured £18.27 million in government funding provided through UK Research and Innovation’s flagship Strength in Places Fund (SIPF), to put the midlands region firmly on the map as a global centre for advanced ceramics.

The funds are being used to create a world-leading industrial and academic research and development programme over the next four years, which will take place within the Midlands located in partner universities and at Lucideon, which is the programme lead of the SIPF.

The SIPF research and development programme has a number of interlinking workstreams which focus activity on key industrial requirements related to advanced ceramics.

Two key workstreams are looking at the computational understanding of ceramic materials and their performance. This includes the sintering process for the production of advanced ceramics, the development of digital twins to model ceramic production processes and in use manufacturing equipment.

This role will ensure the industrial impact of the SIPF research and development programme is maximised, so it can have wider economic impact within the advanced ceramics supply chain.

**Accountabilities**:
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-Develop the companies ceramic processing modelling capability, including bespoke and innovative modelling tools to establish unique technology platforms for the ceramic industry

-Set up and manage ceramic manufacturing models with a variety of industrial partners and interpret the results produced

-Problem solve using the modelling results to develop engineering solutions to clients and programme partners

-Develop ceramic processing modelling capabilities to extend across a range of manufacturing and end user requirements

-Support client teams to deliver industry transformational projects for the wider ceramic supply chain.

-Be a key advocate for the advantages of modelling for the ceramic industry and the performance and financial benefits it can bring to manufacturing capability and efficiency.

**Qualifications**:
-Graduate or postgraduate qualification in relevant science / engineering discipline.

-Advanced experience in multi-physics analysis using the finite element method and CFD analysis, including experience in use of COMSOL and/or ABACUS and FEMAP CAE

-Significant experience in using one or more computer programming languages such as Python to find opportunities and insights in data.

**Experience**:
-Experienced in developing computational models of industrial processes to examine a variety of effects including heat flows, stress and vibrational analysis to aid design and process optimisation

-Experience of data structuring, predictive modelling, and the use of advanced analytics within a research environment.

-Knowledge in artificial intelligence such as deep machine learning an advantage.

-Knowledge and experience in material science and ceramic processing an advantage.

-Strong experience of analysing a customer’s requirements and developing technology solutions to meet their needs

-Passion for understanding and developing industry and academia collaborations.

**Knowledge/Skills**:
-Ability to create, interrogate and manipulate computer models

-Ability to create compelling data-driven solutions that resonate with clients and stakeholders

-Ability to process, cleanse and verify the integrity of different types of data

-Highly numerate, with excellent analytical and problem-solving skills which have been applied in a business context.

-Proven track record of working on initiative, with the ability to introduce fresh thinking and innovation to the role and the wider team

-Able to work with multiple technologies and multiple partners at the same time

-Excellent verbal and written communications and presentation skills, with the ability to explain complex technical issues to a diverse audience

-Proven ability to build, sustain and develop strong client relationships.