PhD in Computer Science / Architecture or Artificial Intelligence

Updated: over 2 years ago
Job Type: FullTime
Deadline: 14 Feb 2022

Deeper Imaging Solutions

Could you build this neural net to protect food?

We are not afraid of a challenge at Deep Detection, after all, if it was easy somebody else would be doing it. We have designed a cutting edge hardware platform to transform X-ray imaging for continuous inspection. Finally, X-ray image quality will be high enough to enjoy the benefits of AI analysis, not only in the x-y plane but also through spectral energy levels.

We are looking for an incisive program leader to build our unique AI platform for production safety, quality and circular applications in a variety of industries. In this role you will select and develop the neural network platforms and plan their integration into our hardware architecture.

• You will have a PhD, probably in Computer Science / Architecture or Artificial Intelligence including experience of image processing and analysis.

• You will be ready to go beyond machine learning to train deep learning networks for pattern recognition, anomaly detection and material characterisation at high speeds.

• You will be good at delivering short term results while building towards the long term vision.

• You will be working alongside PhD´s in microelectronics and high energy physics in a dynamic technology spin-out.

As an experienced founder team, we are building a client-connected company. Our focus is to build technology solutions that we can scale and take to market quickly, so you will see your work applied in countries around the world. We would like you to join us at one of our office locations in Barcelona, either downtown or in the Valleys Technology Park. However, remote work options are also available.

Along with leading this challenge, we offer a competitive salary and the options for the right candidate to share in the company’s growth.

Don’t delay! The window of opportunity for this role will only be open until 15th February.

You can contact us via www.deepdetection.tech or through email to David Ciudad [email protected] or Colin Burnham [email protected]



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