Post Doctoral Fellow, Aerospace Engineering

KHALIFA UNIVERSITY; United Arab Emirates; On-site; AED 183,000 - 294,000; Full time

Job summary

A leading educational institution in the United Arab Emirates is seeking a highly motivated Postdoctoral Research Fellow to develop vision-based applications for space environments. The role requires a PhD in a relevant field, strong expertise in Computer Vision and Deep Learning, and the ability to support both graduate and undergraduate students. This is an excellent opportunity to contribute to innovative research projects in the field of space exploration.

Qualifications

• PhD in a relevant field or equivalent experience.
• Strong expertise in Computer Vision and Deep Learning techniques.

Responsibilities

• Develop Computer Vision and Deep Learning algorithms.
• Support deployment of neuromorphic perception algorithms.
• Publish research findings in reputable conferences and journals.

Skills

Computer Vision

Deep Learning

Autonomous Navigation

Research Publication

Team Support

Education

PhD in relevant field

Job description

Offer Description

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, [e-mail]

Academic Department: Aerospace Engineering

Relevant Research Center: Khalifa University Center of Autonomous Robotic Systems

Technical Keywords: Space robotics, space exploration, neuromorphic vision, artificial intelligence

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.

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