Applications are invited for ONE position of PhD Scholar on the project titled “Machine learning assisted inverse design of novel auxetic core architectures for improved blast resistance of sandwich structures”, under the supervision of Prof. Gaurav Watts, Prof. Vinti Agarwal and Prof. Radha Raman Mishra.

Deserving candidates check the eligibility criteria and qualification process of the PhD program of BITS Pilani (http://www.bitsadmission.com/phmain.aspx).

Scope of work
· Inverse design framework using machine learning
· Simulations using ANSYS or similar commercial software
· 3D printing and testing of core architectures

Essential Qualification
M.E./MTech. or an equivalent degree in Mechanical Engineering/Applied Mechanics/ Material Science/ Design/ CAD/Aerospace Engineering with a minimum of 60% aggregate in the qualifying examination

Desirable Qualification
· Fundamental knowledge of Solid Mechanics and Finite Element Analysis
· Exposure to modeling and analysis using ANSYS/ABAQUS or any other similar commercial software
· Basic knowledge of ML

Fellowship: ₹37,000 - ₹42,000 per month (based on the year of PhD and performance)
Duration: As per BITS Pilani norms (http://www.bitsadmission.com/phmain.aspx)

Place of work: BITS Pilani, Pilani Campus, Pilani, Jhunjhunu, Rajasthan, India.
Application process: Please apply with CV and Cover letter (showing alignment and justification with the roles/responsibilities/requirements) using this form
· Google form link: https://forms.gle/KWJzzB95QzTm1ReC8
· Deadline: 15 July 2024
The interview for the advertised position will be conducted online, and the shortlisted candidates will be informed through e-mail.

For more details, please contact:

Prof. Gaurav Watts
Mechanical Engineering,
BITS Pilani, Pilani Campus
Email: gaurav.watts@pilani.bits-pilani.ac.in
Website: https://www.bits-pilani.ac.in/pilani/gauravwatts/Profile