We are looking for a talented Aerospace Engineering intern to join my team. As an intern, you will have the opportunity to work on cutting-edge projects and gain valuable hands-on experience in the field of aerospace engineering. If you have a strong background in Mathematics, C/Python programming, aerodynamics, and potential flow methods such as lifting lines, Panel methods, and vortex lattice methods, we want to hear from you!
Selected intern's day-to-day responsibilities include:
1. Assist in the design and development of aerospace systems
2. Collaborate with senior engineers on research and development projects in the aerodynamics of unmanned vehicles
3. Utilize C Programming for software development of steady/unsteady aerodynamics
4. Hands-on operation of open-source tools such as XFoil, Xflr5, Machup, etc.
If you are a motivated and ambitious individual with a passion for aerospace engineering, apply now.
Only those candidates can apply who:
1. are available for the work from home job/internship
2. can start the work from home job/internship between 26th Apr'24 and 31st May'24
3. are available for duration of 2 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Good knowledge of aerodynamics, programming, computational mathematics, potential flow methods such as lifting line, Panel methods, vortex lattice methods, etc.
I am an assistant professor in the mechanical engineering department at IIT Jodhpur since October 2019. Prior to that, I worked as a senior member in the aerospace and automobile CFD simulation division at Sankhya Sutra Labs Private Limited. I did my postdoctoral research at Technion - Israel Institute of Technology. I completed my M. Tech and Ph. D. at IIT Delhi in 2013 and 2017, respectively. I received my B.E. from Delhi College of Engineering (now DTU) in 2011.
My doctoral work was directed towards the development of a fluid-structure interaction framework for moving boundary simulations to examine the unsteady aerodynamics and propulsion performance of biological flyers. This study is expected to facilitate the design and analysis of realistic and bio-inspired micro-air vehicles (MAVs).
