Website The University of Nottingham and UK Atomic Energy Authority (UKAEA)

Extra-long Compliant Snake Robot for Inspection in Fusion Power Plants

Job Summary Table of Extra-long Compliant Snake Robot for Inspection in Fusion Power Plants

AttributeDetails
Job TitlePhD Studentship: Extra-long Compliant Snake Robot for Inspection in Fusion Power Plants
Visa SponsorshipInfo not available
Company NameThe University of Nottingham and UK Atomic Energy Authority (UKAEA)
CountryUnited Kingdom
LocationNottingham, United Kingdom (On-site with potential visit to UKAEA’s Culham Campus)
Salary Range£19,237 annual tax-free stipend
Job TypeFull-time (PhD Studentship)
DepartmentRolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology, Department of Mechanical, Material and Manufacturing Engineering
Experience LevelEntry-level (PhD Student)
Education RequirementsFirst or upper second-class degree in Mechatronics/ Robotics/ Mechanical/ Computer Science or related scientific discipline
Skills and ExpertiseAnalytical and numerical skills, Mechatronics system development, Kinematic and dynamic analysis, Control implementation, Proficiency in MATLAB, SolidWorks/Creo, ROS/OpenCV/Python, LabVIEW/C
Posting DateInfo not available
Job ExpiresTuesday 30 July 2024
SourceThe University of Nottingham
Apply LinkApply Here

Job Description Summary

The University of Nottingham and the UK Atomic Energy Authority (UKAEA) are offering a 3-year PhD studentship to develop an intelligent extra-long compliant snake robot capable of self-localisation for inspection in fusion power plants.

Responsibilities

  • Conduct a literature review on robots for confined spaces and their localisation strategies.
  • Design and manufacture an extra-long compliant snake robot for reaching deep inside confined spaces, such as pipes and vessels.
  • Develop kinematic, static, and dynamic models of the snake robot.
  • Implement localisation strategies for the snake robot using various sensory feedback, including vision and Fibre Bragg sensors.
  • Perform demonstrations to evaluate the developed snake robot, its navigation, and localisation strategies.

Benefits and Perks

  • Tax-free annual stipend of £19,237.
  • Tuition fees covered.
  • Opportunity to work with the UK Atomic Energy Authority (UKAEA) and contribute to cutting-edge fusion power research.
  • Exposure to state-of-the-art facilities and resources.

Company Overview

The University of Nottingham is a renowned institution with an excellent international reputation for high-quality theoretical and experimental research funded by various bodies like EPSRC, IUK, EU, and the manufacturing industry. The Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology, where the successful candidate will be primarily based, is part of the Department of Mechanical, Material and Manufacturing Engineering.

The UK Atomic Energy Authority (UKAEA) runs the UK’s fusion research programme and is leading the decommissioning of the Joint European Torus (JET) fusion experiment. UKAEA’s mission is to lead the commercial development of fusion power and related technology, positioning the UK as a leader in sustainable nuclear energy.

Company Culture

The University of Nottingham and UKAEA foster a collaborative and innovative work environment, encouraging interdisciplinary research and industry partnerships. Candidates will have the opportunity to work with leading experts in the field and contribute to cutting-edge research projects.

Career Growth Opportunities

This PhD studentship offers excellent prospects for a high-impact, high-technology research or industrial career in robotics, artificial intelligence, and fusion energy. Successful candidates will gain invaluable experience working on a cutting-edge project with strong industrial applications, positioning them for future career growth in academia or industry.

Diversity, Equity, Inclusion, and Belonging

The University of Nottingham and UKAEA are committed to promoting diversity, equity, inclusion, and belonging in their workplaces. They strive to create an environment where individuals from all backgrounds can thrive and contribute their unique perspectives.

Equal Opportunity Statement

The University of Nottingham and UKAEA are equal opportunity employers and do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other protected characteristic.

Remote Work Policy

This role is primarily on-site at the University of Nottingham, with potential visits to UKAEA’s Culham Campus. Remote work arrangements may be discussed on a case-by-case basis.

Application Process

  1. Review the job requirements and ensure you meet the eligibility criteria.
  2. Prepare your application materials, including a CV, academic transcripts, and any other required documents.
  3. Submit your application through the official application portal.

Application Deadline

The deadline for applications is Tuesday, 30 July 2024.

How to Apply

Interested candidates can apply for this PhD studentship by visiting the official job posting at The University of Nottingham and following the application instructions provided.

For further information, please contact Dr. Xin Dong at Xin.Dong@nottingham.ac.uk or +44 115 846 6395.

FAQs or Additional Information

Q: Who is eligible for this PhD studentship?

A: Only UK Higher Education “Home Fee” status applicants and EU residents satisfying the three-year residency requirement are eligible for this studentship.

Q: Is this a fully-funded PhD studentship?

A: Yes, the scholarship includes a tax-free annual stipend of £19,237 and covers tuition fees.

Q: What is the duration of the PhD studentship?

A: The studentship is for a duration of 3 years.

Q: Will the successful candidate have the opportunity to visit UKAEA’s facilities?

A: Yes, there is an opportunity to be hosted by UKAEA’s Culham Campus for part of the project.

Q: What are the expected outcomes of this project?

A: The primary outcomes include the design and development of an extra-long compliant snake robot, kinematic and dynamic models, localisation strategies using various sensors, and demonstrations of the robot’s capabilities.

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