"PhD Studentships in Intelligent Structural Optimization, AI-Enhanced Digital Twin Framework, and Advanced Multifunctional Materials"

The School of Engineering invites applications for three highly motivated individuals to join the University of Southampton. The successful candidates will engage in cutting-edge research under the mentorship of leading experts in one of the following priority research areas:

Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning

Research area 2: AI-Enhanced Digital Twin Framework for Smart and Sustainable Advanced Manufacturing

Research area 3: Advanced Multifunctional Materials

The ideal candidates would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated area while actively seeking opportunities to apply your findings by engaging with relevant stakeholders. You will be expected to publish your research in reputable academic journals and present your work at leading conferences, contributing to the visibility and impact of your field. Additionally, you will engage in continuous professional development to enhance your expertise and skills. Your role will also involve contributing to the university environment through activities such as delivering invited guest lectures, participating in seminars, workshops, and early career researcher forums. Furthermore, you will play a key role in cascading the practical knowledge gained during the fellowship to key stakeholders, ensuring its wider dissemination and impact. The initial appointment is for one year, with the potential for continuation based on the progression of the project up to 3 years.

The candidate will undertake research with collaboration with Ansys under the supervision of the award holder (Dr. Susmita Naskar).

For further detail on this vacancy please contact Dr Susmita Naskar (S.Naskar@soton.ac.uk)

To apply for this role please ensure you have attached a CV and Research Statement of previous experience.