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Research assistant/associate in machine learning (fixed term)

Cambridge
Research assistant
£32,546 - £45,413 a year
Posted: 6 July
Offer description

Fixed-term: The funds for this post are available for 1 year. Applications are invited for a Research Associate (Postdoc) to join the Prorok Lab in the Department of Computer Science and Technology, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs that are conducive to successful completion of the problem at hand. Particular focus will be on multi-robot and multi-agent problems (e.g., navigation, cooperative transport, team-based agent games). The ideal candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on ML-based co-optimization demonstrates some of our key research directions relevant for this position. Candidates should have (or be near to completing) a PhD in Computer Science or a related subject, or relevant experience. A high degree of self-motivation, research-oriented thinking, and a drive for getting real robotic systems up and running are all essential traits in members of this lab. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Applicants should contact Prof Amanda Prorok for further information. http://www.proroklab.org Required documents include a cover letter, a curriculum vitae, a brief research statement, and contact information for two references. Please quote reference NR46503 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Further information Further Information Apply online

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