General Details

Position Code: Research Associate.8800845
Position Type: Project Based (Fixed Term)
Position Duration: 01/08/2023 to 31/07/2024
Position Title: Research Associate
Project Title: Robotic Sorting of engine Blades
Project Supervisor: Dr Yahya Zweiri
Academic Department: Aerospace Engineering
Relevant Research Center: Advanced Research & Innovation Center (ARIC)
Technical Keywords: Industrial Revolution, Robotics, Neuromorphic Vision, Tactile Sensing, Automation, Autonomous Systems

About Khalifa University

Khalifa University is ranked 181st in the QS World University Rankings 2023, and the top University in the UAE, with a range of research and academic programs designed to address the entire range of strategic, scientific and industrial challenges facing our rapidly evolving world.

Its world-class faculty and state-of-the-art research facilities provide an unparalleled learning experience to students from the UAE and around the world. Our research and academic activities cover a broad range of disciplines in engineering, science and medicine through our three colleges.

Khalifa University\'s research relates to key focus sectors of relevance to the UAE\'s strategic economic growth and the technology platforms that serve as foundations for these sectors. The University\'s research priorities are addressed in two categories \xe2\x80\x9cverticals\xe2\x80\x9d and \xe2\x80\x9chorizontals\xe2\x80\x9d which jointly cover specific industry and sector needs, technical platforms and expertise.

KU\'s focus sectors are Clean and Renewable Energy, Hydrocarbon Exploration and Production, Water and Environment, Healthcare, Aerospace, and Supply Chain and Logistics. Research in these sectors is enhanced by our research platforms of Robotics, AI and Data Science, Information and Communication Technologies, and Advanced Materials and Manufacturing as well as Fundamental Sciences.

Position Overview

KU is seeking a highly motivated Research Associate to work in the \xe2\x80\x9cRobotic Sorting of Engine Blade\xe2\x80\x9d project at the Advanced Research and Innovation Center in collaboration with SANAD Aerotech. The aim of this project is to develop a full robotics system capable of measuring the dimensions and mass of the blades, and sort them accordingly. The candidate is expected to work on system integration and robotic manipulation, and sensor fusion to achieve the required tasks. As part of a team of researchers and engineers, the candidate will also get the chance to deploy and test all developed systems and algorithms in production line in industry.

As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the Advanced Research and Innovation Center ( ) and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.

Position Requirements

• Develop object detection and segmentation algorithms for robotic grasping using visual sensors.
• Investigate and implement different grasping methods, and customizing those methods to the problem of engine blade grasping.
• Propose and design novel gripper technologies.
• Support other intelligent robotic manufacturing projects at ARIC.
• Develop perception software and interface with existing code base written in C++ and Python over ROS.
• Coordinate with industrial collaborator to test and deploy the developed approach in real-world applications.
• Prepare presentation of research outcomes and dissemination.
• Prepare monthly progress reports.
• Publish the research findings in reputable conferences and journals.
• Support graduate and undergraduate students conducting relevant research projects.
• Adhere to the University\'s information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
• Perform any other tasks assigned by the Line Manager

Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ( ).

Primary Location: Abu Dhabi UAE
Job: Research Associate
Schedule: Regular
Shift: Standard
Job Type: Full-time

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