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Research Associate Modelling and Optimization
3 months ago
What's in it for you? Newcastle University is a great place to work, with excellent benefits.
We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.
Newcastle is an inclusive global University community where everyone is treated with dignity and respect.As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.
Salary:
£32,348 to £35,333 per annum
Closing Date: 23 February 2023
The Role
We are seeking to appoint a talented and enthusiastic PDRA with experience in data-driven statistical mathematical modelling to join our group in developing models and optimisation decision-making toolkit for lithium-ion battery recovery and recycling
Newcastle University is a world class research-intensive university. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
Electrochemical Engineering science group at School of Engineering is recognised as world leading with expertise focusing on electrochemical energy conversion and storage.
Both Investigators:
Prof. Mamlouk and Dr. Zhang has brings complementary expertise on battery science and engineering, neural network modelling and optimisation. You will be part of multiplanetary international teams of researchers with access to state-of-the-art facilities.
To find out more about current projects and colleagues please visit the below weblinks
ReLib Project
ReLiB 2.0 - Sustainable Management of Lithium-ion Batteries
Faraday Institution ReLib Project
ReLiB:
Recycling and reuse of EV lithium-ion batteries - The Faraday Institution
Mohamed Mamlouk
Jie Zhang
Staff Profile - School of Engineering - Newcastle University )
Group web page
This role is offered on a Fixed term contract for 24 months with target start date of 1st April 2023.
- Produce data driven statistical based mathematical models of Lithiumion batteries
- Work with experimentalists and industry to identify suitable model parameters and constraints
- Build decision making multi objective optimisation algorithm based on industry informed constraints
- Build visualising tool to show the evolution of key constraints in real time and their impact on optimum downstream solution
- Work closely with other researchers on the project within the group and consortium to share information and data to tune, optimise and validate models to ensure high efficiency and performance
- Support PhD and Master students during their research projects. Supervise and provide advice to junior staff and researchers on mathematical modelling practice
- Produce publications, presentations and regular reports on progress
- Interacting with academic members and industrial members of the project partners, providing suitable paper, electronic and oral reporting
- Experience of research with transferable skills in the field of data driven mathematical modelling
- Experience in using appropriate software to carry out the mathematical modelling (MATLAB, Python, etc)
- Experience in multi objective optimisation
- High level of analytical and problem solving capacity
- Ability to communicate complex information (verbally and written) with clarity and to encourage the commitment of others
- Ability to design and prepare professional reports and present findings to industrial and academic project partners at conferences and project meetings and write high quality scientific publications
- Ability and experience of supervision of junior staff, postgraduate and undergraduate research projects
- Experience in neural network modelling
- Experience in data modelling related to batteries
- Experience in building visualising tools
- Excellent written and oral communication skills
- Professional approach with a demonstrable commitment to dignity and respect in the workplace
- Demonstrated interpersonal skills with the general public and external stakeholders and the ability to interact with people from different disciplines
- Good project organizational skills and the ability to work to strict deadlines.
- Monitor and, where appropriate, manage research resources (e.g. time, finance, laboratory space, equipment, computing time) effectively
- Ability to work in a diverse team but also independently.
