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Researcher / Post Doc - Adaptive Machine Learning

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:

Mandatory:

• 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 close to completion


Ideal:

• 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


How to apply:

1. Visit https://careers.research.microsoft.com/

2. Choose "Apply" and provide all professional details, including the name of three references.

3. Indicate that your research area of interest is "Machine Intelligence and Perception" and that your location preference is "Cambridge".

4. Include "Sebastian Nowozin" as the name of a Microsoft Research contact.

5. Ensure that you have successfully submitted the application.

The application should include a curriculum vitae (CV), summary of past research (2 pages maximum), three referees, and a research statement (approximately 2-4 pages) which takes into account the unique opportunities provided by the Microsoft Research environment, including its multidisciplinary team structure and its early access to new technologies and data.

Reference letters can only be requested once the application has been submitted and may be only requested for some candidates and some referees.


Microsoft is an equal opportunity employer and supports workforce diversity. At Microsoft, we believe that diversity enriches our performance and products, the communities where we live and work, and the lives of our employees. As our workforce evolves to reflect the growing diversity of our communities and the global marketplace, our efforts to understand, value, and incorporate differences become increasingly important.   Women and minorities are encouraged to apply.


Further information is available at the following websites.

• https://www.microsoft.com/en-us/research/careers/

• https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/

• https://www.microsoft.com/en-us/research/group/machine-intelligence-and-perception/

Job #

996613

Locations

United Kingdom, Cambridge

Job families

Research

Teams

Research
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