Remote internships

Owing to COVID, remote working has become more popular. Owing to this changing landscape, I would be happy to offer remote student internships. I would be considering 3-5 applicants during a semester. If you are interested write to me with the subject "Rem-Intern: Deep Learning (secret word)". You need to read below to find the hidden secret word.

NOTE: This is not an official internship program of the University of Manchester. This is unpaid and purely offered in my personal time as an outreach program.

Goals of this remote internship

• Explore low-hanging fruits in the area of mechanistic deep learning that can be addressed in reasonably short-timeframes of 4-6 months 

• This is aimed at students and early-career researchers who are interested in building their scientific profiles and tryign to understand of the research landscapes. I will be meeting the students one-on-one once a week to review the progress and help with future directions.

General expectations from participating students

• • Time committment: atleast 10 hours a week outside the meeting time. The weekly meetings are 30-60 mins per week depending on the work of the students.

  • Infrastructure: A basic laptop with internet to run jobs on a HPC cluster. You are required to have a reasonable internet to support zoom video calls on the laptop. The internet speed should be sufficient to atleast support screen sharing.

  • Type of projects: This will involve some coding & writing small routines in C++ / Python. Students will be required to write and debug codes. 

  • Students who are consistently not performing each week will be dropped from the program

Outputs of the program (Note that this depends on the work from the student)

• Learning to effectively use tools like Github, Jupyter notebooks

• Build and train neural networks for mechanistic problem (secret word: MechanicsinDL)

• Document the outputs in a LaTeX document using OverLeaf

• Small modules released as open-source software through Github

• Papers submitted as pre-print to arXiV or as a Q1-level journal paper

If you are already registered for research at a university, it is your responsibility to inform your advisor and get their approval prior to writing to me. This program is not to work on your existing projects. I will not be able to help you with your existing projects that you are already working on.

I do not work in sensitive areas related to aeronautics, hypersonics, nuclear engineering etc and do not wish to explore these areas in the near future.