Research Assistant (RA) in Digital Twins for Machine Learning based Autonomous Navigation (Fixed Term)

University of Cambridge

Research Assistant (RA) in Digital Twins for Machine Learning based Autonomous Navigation (Fixed Term)

£33966

University of Cambridge, Newtown, Cambridge

  • Full time
  • Temporary
  • Onsite working

Posted 2 weeks ago, 14 May | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: e780038057554cfb947e359a258f1ecb

Full Job Description

Applications are invited for a Research Assistant (RA) to join the Prorok Lab in the Department of Computer Science and Technology, at the University of Cambridge, UK. The position is fixed-term for 3 months, with an ideal beginning in June 2024.

The Research Assistant will work together with a team of PhD students and research collaborators on the creation of Digital Twin environments that enable simulation based learning of navigation policies. Together with the project team, the RA will travel to client sites to scan workspaces with specialized telemetry equipment. They will be responsible for ensuring high quality twins, and will interact with the project team on the development of effective machine-learning models to be deployed within these twin environments.

The ideal candidate for this position will have excellent implementation skills (especially in Python and Pythorch), be results-driven, and will be comfortable working with real-world systems and robots.

This project is part of an Impact Accelerator fund for the commercialization (spin-out) of the lab's research inventions. The project, "Planning with a Hundred Eyes", envisions visual sensor-based navigation for challenging work environments.

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. 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.

To apply, please submit a CV, covering letter and contact information for two references. Candidates should have (or be near to completing) a BA in Computer Science or a related subject. If you upload any documents which have not been requested, we will not be able to consider these as part of your application.

The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University.

Please follow the link at: https://www.cst.cam.ac.uk to find out more about our Department.