University of Cambridge

University of Cambridge

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

Research Assistant (RA) in Digital Twins for Machine Learning based

Autonomous Navigation (Fixed Term)

Fixed-term: The funds for this post are available for 3 months.

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.

Applicants should contact Prof Amanda Prorok for further information. https:// www. proroklab.org

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.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

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.

Please quote reference NR41571 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
  • Department/Location

    Department of Computer Science and Technology, West Cambridge

    Salary

    £29,605-£33,966

    Reference

    NR41571

    Category

    Research

    Published

    8 May 2024

    Closing date

    30 May 2024

    Job details

    Title

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

    Employer

    University of Cambridge

    Location

    United Kingdom

    Published

    May 14, 2024

    Application deadline

    May 30, 2024

    Job type

    Research

    Field

    Computer Science,Engineering

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