Research Associate in Collaborative Human-Robot Control Interface for Intuitive Teleoperation
Research Associate in Collaborative Human-Robot Control Interface for Intuitive Teleoperation

Research Associate in Collaborative Human-Robot Control Interface for Intuitive Teleoperation

Whitehaven Full-Time 30000 - 42000 £ / year (est.) No home office possible
U

At a Glance

  • Tasks: Join us to design cutting-edge human-robot interfaces for intuitive teleoperation in exciting environments.
  • Company: Be part of The University of Manchester, a leader in robotics and AI research.
  • Benefits: Enjoy a fantastic pension scheme, health services, generous leave, and local discounts.
  • Why this job: Work on real robotic systems, publish your research, and collaborate with top experts in the field.
  • Qualifications: Ideal for those with a background in robotics, control systems, or related fields.
  • Other info: Flexible working arrangements may be considered; we value diversity and inclusion.

The predicted salary is between 30000 - 42000 £ per year.

We are looking for a full-time research associate to collaborate on a human-robot control interface for intuitive teleoperation in unstructured environments for inspection, repair, and maintenance. You will conduct research on designing robotic impedance controllers to facilitate tele-operation in command centres as well as safe robot-environment interaction on remote sites. You will work with physical robot platforms and develop a teleoperation interface to provide haptic feedback and guidance on human operations. This will encompass robotic dynamics modelling, impedance control, haptic feedback design, robot-environment interaction control, disturbance regression, and conducting user studies. You will be expected to publish at world-leading refereed conferences and journals and demonstrate research outcomes on real robot platforms.

The role will also require regular contributions to a variety of academic tasks, including positively interacting and communicating with internal and external stakeholders, developing research proposals, management of research projects, supervising PhD, postgraduate, and undergraduate students, demonstrating research excellence and leadership to more junior members in the research lab.

Key Responsibilities

  • Develop teleoperation interface with a robotic manipulator to facilitate human-robot interaction in remote handling.
  • Design robot impedance control algorithms to enable the adjustment of robot impedance.
  • Establish bilateral haptic communication between the robotic manipulators between the master and remote sides.
  • Design intuitive haptic feedback to facilitate user remote environment perception.
  • Estimate and integrate user intention in robotic control.
  • Develop disturbance regression algorithms to enable accurate tracking and smooth interaction between the remote robot and environments with various characteristics.
  • Implement algorithms into robotic systems for real-time execution.
  • Work on project deliverables through independent research and joint collaboration.
  • Publish at world-leading refereed conferences and journals.
  • Actively participate in the research programme of the Lab.
  • Conduct and plan own scientific work proactively with appropriate supervision.
  • Communicate research progress with stakeholders through presentation, demonstration, and report writing.
  • Assist in the supervision of undergraduate and postgraduate research students and other lab members as required.

Other Duties

  • Ensure the validity and reliability of research results and data.
  • Write reports for submission to stakeholders.
  • Participate in Lab research meetings and internal seminars.
  • Undertake any necessary training, safety courses, and/or development.
  • Contribute to the smooth running of the Lab's facilities with other researchers, technicians, and students.
  • Maintain accurate and complete records of all findings and experimental work, and full backup of research resources in the Lab facilities.

The successful applicant will join The University of Manchester's team at RAICo One Facility in West Cumbria. The applicant will have a unique opportunity to work in close partnership with robotics, control, and AI experts from the University of Manchester, Sellafield Ltd, and the UK Atomic Energy Authority, applying their knowledge and research work into real applications. RAICo One is a fully equipped robotics laboratory with state-of-the-art robotic research and development facilities including a wide range of robotic systems and robot test arenas.

What you will get in return:

  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers

As an equal opportunities employer, we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation, and transgender status. All appointments are made on merit.

Our University is positive about flexible working. Hybrid working arrangements may be considered.

Research Associate in Collaborative Human-Robot Control Interface for Intuitive Teleoperation employer: University of Manchester

The University of Manchester offers an exceptional work environment for the Research Associate role, situated in the cutting-edge RAICo One Facility in West Cumbria. Employees benefit from a strong focus on health and wellbeing, a generous pension scheme, and opportunities for professional growth through collaboration with leading experts in robotics and AI. The inclusive culture and commitment to flexible working arrangements make it an attractive place for those seeking meaningful and impactful research careers.
U

Contact Detail:

University of Manchester Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Associate in Collaborative Human-Robot Control Interface for Intuitive Teleoperation

✨Tip Number 1

Familiarise yourself with the latest advancements in human-robot interaction and teleoperation technologies. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.

✨Tip Number 2

Network with professionals in the field by attending relevant conferences or workshops. Building connections can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.

✨Tip Number 3

Prepare to discuss your experience with robotic systems and control algorithms in detail. Be ready to share specific examples of projects you've worked on that relate to impedance control or haptic feedback design.

✨Tip Number 4

Showcase your ability to collaborate effectively by highlighting any past experiences where you worked in a team setting, especially in research environments. This is crucial as the role involves working closely with various stakeholders.

We think you need these skills to ace Research Associate in Collaborative Human-Robot Control Interface for Intuitive Teleoperation

Robotic Dynamics Modelling
Impedance Control Algorithms
Haptic Feedback Design
Robot-Environment Interaction Control
Disturbance Regression
User Intention Estimation
Real-Time Algorithm Implementation
Teleoperation Interface Development
Research Proposal Development
Data Analysis and Interpretation
Scientific Report Writing
Stakeholder Communication
Supervision of Research Students
Collaboration and Teamwork
Presentation Skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure you thoroughly understand the responsibilities and requirements of the Research Associate position. Familiarise yourself with the specific skills needed, such as robotic dynamics modelling and haptic feedback design.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise any previous research work, projects involving human-robot interaction, or experience with teleoperation systems.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for robotics and research. Mention specific projects or experiences that relate to the role and how you can contribute to the team at The University of Manchester.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at University of Manchester

✨Understand the Role

Make sure you thoroughly read the job description and understand the key responsibilities. Familiarise yourself with terms like 'robot impedance control' and 'haptic feedback', as these will likely come up during your interview.

✨Showcase Your Research Experience

Prepare to discuss your previous research projects, especially those related to robotics or teleoperation. Be ready to explain your methodologies and any challenges you faced, as well as how you overcame them.

✨Prepare for Technical Questions

Expect technical questions that assess your knowledge in robotic dynamics modelling and control algorithms. Brush up on relevant theories and be prepared to solve problems on the spot.

✨Demonstrate Communication Skills

Since the role involves interacting with various stakeholders, practice articulating your ideas clearly. You might be asked how you would communicate complex concepts to non-experts, so think of examples where you've done this before.

Research Associate in Collaborative Human-Robot Control Interface for Intuitive Teleoperation
University of Manchester
U
  • Research Associate in Collaborative Human-Robot Control Interface for Intuitive Teleoperation

    Whitehaven
    Full-Time
    30000 - 42000 £ / year (est.)

    Application deadline: 2027-07-22

  • U

    University of Manchester

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