5 ms·

I’m going to grad school for computer vision… how do I do this in manufacturing for money when I’m done with school?

by piloto_ciego 4y ago

s0rce 4y ago
Tons of jobs in varied sectors, my employer has a few people working on this in various aspects.
- piloto_ciego 4y ago
  What should I learn then along the way? I cannot seem to get anyone to email me or call me before, that’s actually why I went to grad school lol.
  - s0rce 4y ago
    Learn to get into machine vision? Start doing projects in the area and also learn about the mechanical, controls and electrical components of the equipment.
bigger_cheese 4y ago
My best advice if you want to break into manufacturing is to pair Machine Learning / Computer Vision skills with an Engineering degree (Chemical, Mechanical or similar). I work in heavy industry (Steel Mill) most people that get hired around here have Engineering degrees. Mining, Oil and Gas is quite similar. We do engage with data science people etc (Usually as consultants) but there can be a lot of friction as oftentimes the conversation gets lost in translation. If you can fluently speak 'engineer' and 'data scientist' you would make yourself a very attractive hire.
- piloto_ciego 4y ago
  I was a pilot in my old life, so I can speak engineer as a side effect lol
rsfern 4y ago
Lots of materials science interest in this area. Applications are pretty diverse, but there are definitely opportunities at the microscope OEMs, as well as in manufacturing - steel and metals processing like sibling mentioned, also aerospace (I know some aerospace R&D folks that are doing a bunch of semantic segmentation for microstructure analysis - for like engine disk material design and that sort of thing) and other sectors. You might look into the additive manufacturing OEMs if that catches your interest, process monitoring (video and acoustic) is a big deal there You could also look into the lab automation sector, that is taking off in a big way recently for materials and chemistry (round 2 for chemistry i guess). Chemspeed is the big name but there’s a bunch of smaller companies doing cool vision and robotics stuff in this area

I’m going to grad school for computer vision… how do I do this in manufacturing for money when I’m done with school?

s0rce 4y ago

Tons of jobs in varied sectors, my employer has a few people working on this in various aspects.

piloto_ciego 4y ago
What should I learn then along the way? I cannot seem to get anyone to email me or call me before, that’s actually why I went to grad school lol.
- s0rce 4y ago
  Learn to get into machine vision? Start doing projects in the area and also learn about the mechanical, controls and electrical components of the equipment.

bigger_cheese 4y ago

My best advice if you want to break into manufacturing is to pair Machine Learning / Computer Vision skills with an Engineering degree (Chemical, Mechanical or similar). I work in heavy industry (Steel Mill) most people that get hired around here have Engineering degrees. Mining, Oil and Gas is quite similar. We do engage with data science people etc (Usually as consultants) but there can be a lot of friction as oftentimes the conversation gets lost in translation. If you can fluently speak 'engineer' and 'data scientist' you would make yourself a very attractive hire.

piloto_ciego 4y ago
I was a pilot in my old life, so I can speak engineer as a side effect lol

rsfern 4y ago

Lots of materials science interest in this area. Applications are pretty diverse, but there are definitely opportunities at the microscope OEMs, as well as in manufacturing - steel and metals processing like sibling mentioned, also aerospace (I know some aerospace R&D folks that are doing a bunch of semantic segmentation for microstructure analysis - for like engine disk material design and that sort of thing) and other sectors. You might look into the additive manufacturing OEMs if that catches your interest, process monitoring (video and acoustic) is a big deal there You could also look into the lab automation sector, that is taking off in a big way recently for materials and chemistry (round 2 for chemistry i guess). Chemspeed is the big name but there’s a bunch of smaller companies doing cool vision and robotics stuff in this area