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Researcher / Post Doc in Adaptive Machine Learning for Microsoft Research Cambridge

Country : UK - United Kingdom

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Researcher / Post Doc in Adaptive Machine Learning for Microsoft Research Cambridge (UK)
Microsoft Research Cambridge (UK) is searching for an exceptional researcher / post doc in the area of artificial intelligence and adaptive machine learning to work as part of a multidisciplinary team to tackle challenging research questions to enable real-world systems and agents to be adaptive to their users.
We are hiring a Researcher to join a project that has the mission of developing technology that allows blind and low vision people to tune their understanding of their surroundings through being able to query the social, physical and textual environment. You would join a project team that brings together researchers with backgrounds in machine learning, artificial intelligence, and human computer interaction. Starting from a rich understanding of human-agent interaction and advances in machine learning and artificial intelligence, you will devise novel solutions that allow artificial agents to adapt to and empower their users.
The researcher would be expected to develop a programme of research in novel interactive learning, decision making, and reasoning approaches that effectively and efficiently learn in complex real-world settings. For example, this can include questions such as how to incorporate prior knowledge with deep learning approaches in order to learn with minimal on-task / online training; how to learn from noisy or biased user demonstrations or user feedback; and how to effectively adapt or transfer knowledge to a novel task.
Experience Required:
- Expert understanding of state-of-the-art machine learning (both theory and applied)
- Hands-on experience in data collection and experiment design for real-world machine learning applications
- Interested in working in a multi-disciplinary team
- Interested in deep research with high real-world impact
- PhD or near completion
- Experience in model-based reinforcement learning and/or planning
- Experience in deep learning
- Demonstrable experience implementing machine learning algorithms
- Strong publication record or alternative relevant innovation experience
This position is for either a full-time researcher position or a two-year post-doc depending on commensurate experience. The role comes with a highly competitive compensation and benefits package.
How to apply:
Visit to apply, or in case of questions contact Katja Hofmann.

Last modified: 2017-08-21 21:21:33