Post Doctoral Fellow

Updated: 4 months ago
Job Type: FullTime
Deadline: 27 Jan 2024

General Details

Position Code: Post Doctoral Fellow.8800500
Position Type: Post Doctoral Fellow
Position Duration: 
01/01/2024  to 31/12/2025
Position Title: Postdoctoral Research Fellow
Project Title:
Project Supervisor:
 Dr Yahya Zweiri, Associate Professor, [email protected]
Academic Department: Aerospace Engineering
Relevant Research Center: Khalifa University Center of Autonomous Robotic Systems
Technical Keywords: Space robotics, space exploration, neuromorphic vision, artificial intelligence

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 — “verticals” and “horizontals” — 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

Khalifa University Centre of Autonomous Robotic Systems is seeking a highly motivated and talented Postdoctoral Researcher to join its interdisciplinary team working on vision-based applications for space environments, which is focused on the development of vision-based solutions for various applications targeted for space environments. This project is part of a larger effort to advance planetary exploration through innovative vision-based techniques.

Position Requirements

  • Develop Computer Vision and Deep Learning algorithms for the robotic space platforms.
  • Support the deployment of developed neuromorphic perception algorithms for autonomous navigation of space robotic systems.
  • Support the deployment of the developed perception system strategic manufacturing sectors of the UAE.
  • 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

Qualifications  

Candidate Profile

Essential Criteria

  • Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field.
  • Strong expertise in deep learning and computer vision.
  • Experience with vision sensor setups and data collection.
  • Proficiency in programming languages (e.g., Python, TensorFlow, PyTorch).
  • Excellent communication skills and a proven track record of research publications.

Desired Criteia

  • PhD gained from and/or experience working in a top 200 QS or THE ranked University
  • At least 1-2 years of relevant experience as a researcher in academia or in industry
  • Experience contributing to high impact publications in top 10% journals in the relevant field

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

Primary Location: Abu Dhabi UAE
Job: Post Doctoral Fellow
Schedule: Regular
Shift: Standard
Job Type: Full-time



Similar Positions