Hello all, I am a Civil Engineering PhD with a minor in Scientific Computing. I am passionate about using data and creating solution that will improve the state of civil infrastructure (Buildings, Pavements, Bridges etc.). I feel I am well aligned for an ML career. I have question about the projects to show on my resume: 1. ⁠Should I focus on technical domain based projects, like damage diagnosis in structures using PINN, GNN, Time-series analysis etc. OR (cont.)

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2. Should I keep it more generic like ML problems in Retail, Tech, or Finance?

Your advice is highly appreciated. Thanks in advance

Stay in civil engineering. There will be less competition and you will have a huge personal edge. Have you worked in consulting/contracting? Some practical work experience may be very valuable for you.

Huge personal edge? Yes, I do have practical work experience in construction management and consulting too! Civil Engineering is a regressive industry, which companies do you think are even using a fraction of new AI developments? Although competition might be high in ML space but eventually a lot of industries/companies will be adopting it and I don’t see Civil Engineering as one of them!

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