HP Labs’ 3D Lab (3DL) invents next generation 3D printing technology and novel materials, and creates their digital twins to enable digital manufacturing. A key technical foundation that delivers precision manufacturing at voxel level such as HP’s Multi Jet Fusion technology is ubiquitous sensing for both machine and products, and process control based on continuous sensing data stream enriched by physics. HP’s Multi Jet Fusion 3D printers have been in production worldwide; each production build generates terabytes of data from geometrical processing to in-situ thermal sensing. 3DL has created a highly promising research in applying deep learning to these datasets – a single production build of terabytes, different builds for a single machine, and different builds by different machines in different geographical location. We are expanding this deep learning research project to accelerate our preliminary success. We are inviting you to join our journey.
We expect you an accomplished deep learning specialist, in particular,
- PhD (preferred) in engineering and/or applied physics from reputable universities and research programs. Multiple years of independent research with demonstratable outcome.
- Hands on experiences in deep learning; experiences with recurrent neural network (e.g., LSTM) is a plus. Experiences with generative adversarial networks and/or reinforcement learning a plus.
- Hands on experiences in established platforms; Tensorflow experience is a plus.
- Hands on experiences in applying deep learning to analyze sensing data in the form of images, videos.
- Research experiences on applying deep learning to solve scientific problems; some hardware/physical science background is a plus.
- Willing to lead research; willing learn and teach.
More details can be found from
https://h30631.www3.hp.com/job/palo-alto/machine-learning-scientist-for-3d-printing-research/3544/13031902
Contact: Dr. Zeng (Email: jun.zeng@hp.com)
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