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Position: Research Assistant/Associate in Robot Learning and Fast Recovery
Institution: Imperial College London
Location: London, United Kingdom
Duties: This will be achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. Familiarity with existing methods from these domains, such as Quality-Diversity algorithms, reinforcement learning, model predictive control and rapid adaptation is highly desirable, but candidates demonstrating an ability and willingness to become familiar with these topics and able to contribute to them will also be considered. This project has a strong emphasis on applications on physical robots, experience and appetite to face the challenge of applying learning algorithms on physical robots are therefore required. for further information on Dr Antoine Cully’s research and projects, see www.imperial.ac.uk/adaptive-intelligent-robotics
Requirements: You must have a strong computer science background and have experience in one or more of the following areas: verification, programming languages, computer systems, software testing. This should include a proven publication track record. You should also have: Research Associate: A PhD (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics; Research Assistant: A Master’s degree (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics; A strong background in both robotics and machine learning, including experience conducting experiments on physical robots; Excellent communication skills and the ability to organise your own work and prioritise work to meet deadlines; Experience writing and publishing academic papers; Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant, salary range £38, 194 - £41, 388 per annum
   
Text: Research Assistant / Associate in Robot Learning and Fast Recovery Apply now Save this job Job summary The Adaptive and Intelligent Robotics Lab (AIRL) in the Department of Computing at Imperial College London is seeking a talented Researcher (pre-doc or post-doc) to work on a new DARPA Program called Learning Introspective Control (LINC). The program aims to develop machine learning (ML)-based introspection technologies that enable robotic systems to adapt their control laws as they encounter uncertainty or unexpected events. The program also... Job listing information Reference ENG02315 Date posted 18 November 2022 Closing date 4 December 2022 Key information about the role Location South Kensington Campus - On site only Position type Full time, fixed term Salary £38,194 - £50,834 plus benefits Department Department of Computing Category Researcher / Non Clinical Researcher Job description Job summary The Adaptive and Intelligent Robotics Lab (AIRL) in the Department of Computing at Imperial College London is seeking a talented Researcher (pre-doc or post-doc) to work on a new DARPA Program called Learning Introspective Control (LINC). The program aims to develop machine learning (ML)-based introspection technologies that enable robotic systems to adapt their control laws as they encounter uncertainty or unexpected events. The program also seeks to develop technologies to communicate these changes to a human or AI operator while retaining operator confidence and ensuring continuity of operations. The successful applicant will focus on developing and testing new methods to extend the range of skills of robots and increase their ability to recover from unanticipated situations, like mechanical damages or unexpected surfaces. Duties and responsibilities This will be achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. Familiarity with existing methods from these domains, such as Quality-Diversity algorithms, reinforcement learning, model predictive control and rapid adaptation is highly desirable, but candidates demonstrating an ability and willingness to become familiar with these topics and able to contribute to them will also be considered. This project has a strong emphasis on applications on physical robots, experience and appetite to face the challenge of applying learning algorithms on physical robots are therefore required. For further information on Dr Antoine Cully’s research and projects, see www.imperial.ac.uk/adaptive-intelligent-robotics Essential requirements You must have a strong computer science background and have experience in one or more of the following areas: verification, programming languages, computer systems, software testing. This should include a proven publication track record. You should also have: Research Associate: A PhD (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics. Research Assistant: A Master’s degree (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics. A strong background in both robotics and machine learning, including experience conducting experiments on physical robots. Excellent communication skills and the ability to organise your own work and prioritise work to meet deadlines. Experience writing and publishing academic papers. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant, salary range £38,194 - £41,388 per annum. Further information In addition to completing the online application, candidates should attach: A full CV, with a list of all publications A 1-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant. Informal enquiries related to the position should be directed to Dr Antoine Cully ( a.cully@imperial.ac.uk ). For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk Documents JD - Research Assistant - Associate.pdf About Imperial College London Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world. You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City. We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces. It’s our mission to achieve enduring excellence in all that we do for the benefit of society - and we are looking for the most talented people to help us get there. Additional information Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework . Our values are: Respect Collaboration Excellence Integrity Innovation In addition to the above, employees are required to observe and comply with all College policies and regulations. We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion. For technical issues when applying online please email support.jobs@imperial.ac.uk .
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