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Research Associate at The University of Edinburgh
London, United Kingdom


Job Descrption

The Opportunity:

This position will involve the design and development of a robotic platform for a set of promising clinical robotic applications. The position is full-time for 1 years, with possibility of extension for another year. Strong background in mechanical design, mechatronics, and system integration skills. The successful candidate will work with a multi-disciplinary research group consist of clinicians, engineers, computer scientists, and physicists looking at fundamental advances in design, sensing, machine learning, planning and robot control.  It is expected that the successful candidate will hold a Ph.D. in engineering. 

 

This position is part of a collaborative multi-disciplinary project between the Center for Inflammation Research and School of Informatics at University of Edinburgh.  This project aims to develop robust, flexible, and safe surgical platform for use in lung interventions by making fundamental contributions in cognitive mechatronic technologies. 

For this we need to make several fundamental contributions to existing mechatronic technologies, i.e., a combination of better machines, modular designs as well as a better sensing and awareness. The success of our project also relies on integrating these technologies into a user-intuitive framework, ultimately enabling robotic platform that can integrate seamlessly into existing clinical pathway without the need to fully re-engineer our environments for robot operation. 

 

This role is full time (35 hours per week) and fixed term (12 months). 

 

Your skills and attributes for success: 

Essential:

  • PhD degree (or near completion) in robotics, mechanical engineering, electrical engineering, or a closely related field. 
  • Background in robotics. 
  • Background in Computer Vision.
  • Background in programming C/C++ or python, experience with ROS. 
  • Proficient oral and written English skills. 
  • In addition, candidates should have a track record of high-impact international publications and demonstrate enthusiasm for performing both theoretical and experimental research activities.  

Desirable:

  • Proficiency in Linux, physics simulators (Gazebo), ROS1/ROS2.   
  • Experience in application of foundation models in computer vision.
  • Background in Soft/Flexible Robotics 

 

Click to view a copy of the full job description (opens new browser tab) 

For informal inquiries Mohsen Khadem mohsen.khadem@ed.ac.uk 

Feedback is only provided to interviewed candidates.

As a valued member of our team you can expect: 

  • A competitive salary of UE07 £39,347 - £46,974 per annum  
  • An exciting, positive, creative, challenging and rewarding place to work. 
  • To be part of a diverse and vibrant international community
  • Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits 

 

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. 

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab)

The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone. 

 

 

As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.

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