Phd Intern - London, United Kingdom - Dyson

Dyson
Dyson
Verified Company
London, United Kingdom

3 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Summary:


Salary:

Competitive


Team:
Science and Research


Location:

United Kingdom - Dyson Robot Learning Lab - London


About us
:


At Dyson, our goal is to build a world-leading robotics team focused on developing advanced domestic robots to go into real homes and help real people.

Our multidisciplinary team is already one of the largest home Robotics groups in the world and is growing fast.

We offer applicants the opportunity to work on some of the field's most challenging problems alongside some of its best engineers and scientists.

We've been developing robot technology for over 20 years, but this is just the start.

In an effort to help build the next generation of advanced domestic robots, we have opened a new Dyson Robot Learning Research Lab in the heart of London, as well as creating the largest robotics centre in the UK at Hullavington Airfield, one of Dyson's research and innovation hubs in Wiltshire.


About the role
:


Research Scientist interns at the Dyson Robot Learning Lab work on novel robot learning methods with the goal of solving real world problems with domestic robotics.

Our interns work at the forefront of a variety of disciplines, including reinforcement learning, imitation learning, robot perception, control, simulation-to-reality transfer, unsupervised representation learning, and other broader deep learning areas.

Internships are 4-6 months long, and can be undertaken at any time during the year. Interns will work on a self-contained, publishable project, and will work closely with our research scientists and research engineers.


About you
:

We would love you to have the following experience:

  • Working towards a PhD in a robot learning discipline.
  • Have made significant contributions to the field of robot learning, e.g., through publications at CoRL, ICRA, RSS, ICML, ICLR, NeurIPS, CVPR, IROS, etc.
  • Strong knowledge and experience with modern machine learning frameworks (PyTorch, Tensorflow, Chainer, etc).
It would be advantageous to have the following skills and experience:

  • Be 1-2 years from graduating.
  • Experience in largescale training.
  • Experience with Ubuntu / Linux.
  • Good Knowledge of Robotics.
  • Fair Experience with ROS and Docker.
  • A passion for advanced domesticated robots.

Benefits:


Financial benefits:

  • Performance related bonus
  • Company paid Life Insurance
  • Discounts on Dyson machines
  • Competitive pension scheme
  • Flexible benefits programme with a growing range of voluntary benefits, including the ability to purchase additional holidays

Lifestyle benefits:

  • 27 days holiday plus statutory bank holidays
  • Free lunch
  • Wellbeing & lifestyle benefits

Health benefits:

  • Private Medical insurance for all employees
  • Employee Assistance Program for employee and dependents
  • Digital GP and prescription service
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