Are you passionate about space exploration and cutting-edge technology? Do you dream of contributing to the next generation of space systems using Artificial Intelligence (AI), Machine Learning (ML), and advanced control techniques? Artificial Intelligence for Aerospace Systems (AIAS) Laboratory at Toronto Metropolitan University is excited to announce one PhD and one Postdoctoral Fellowships in Artificial Intelligence/Machine Learning and Control for Space Systems.
Why Choose AIAS Laboratory?
Pioneering Space Technology: Join a dynamic research community at the forefront of space innovation. Work on projects that push the boundaries of what's possible in space exploration.
World-Class Research Environment: Collaborate with renowned experts in AI, ML, and space systems. Access state-of-the-art labs and resources dedicated to space technology research.
What You'll Experience:
Cutting-Edge Research: Dive into groundbreaking research projects focused on AI/ML applications in space systems, autonomous robotics, spacecraft control, and more.
Hands-On Experience: Gain practical experience by working on real-world space technology challenges. Collaborate on projects with real impact.
Career Advancement: AIAS Laboratory provides valuable experience and expertise that will open doors to exciting career opportunities in academia, industry, and space agencies.
*PhD candidates and Postdoctoral researchers with a strong background in AI, ML, control systems or related fields. Hands-on Experience in MATLAB, Python, and Tensor flow are preferable.
*Passion for space technology and a desire to contribute to the future of space exploration.
How to Apply:
Send your resume with names and contact information of three references as well as copies of research papers (by September 25, 2023 (preferably by email)) to
Dr. Krishna D. Kumar, P. Eng.
Professor of Aerospace Engineering & Director of Artificial Intelligence
for Aerospace Systems (AIAS) Laboratory (www.ryerson.ca/~kdkumar)
President, iSAC Systems Inc. (www.isacsystems.com)
(a leader in AI and IoT)
Co-Editor, Acta Astronautica
Editor, Journal of the Japan Society for Aeronautical and Space Sciences
Member, International Academy of Astronautics (2019)
Associate fellow of AIAA
Canada Research Chair in Space Systems (2005-2015)
(Ranked among the top 100 scientists (73rd out of 45,833) in the world
and 1st in Canada in the field of Aerospace and Aeronautics by
Stanford University, https://lnkd.in/e_2qq-E )
Department of Aerospace Engineering
Toronto Metropolitan University (formerly Ryerson University)
350 Victoria Street, Toronto, Ontario
Canada M5B 2K3
Tel +1 416 979 5000 Ext. 554908
Fax +1 416 979 555056