News /hhashim/category/news/ ĐÓ°ÉÔ­´´ University Wed, 14 Sep 2022 18:00:58 +0000 en-US hourly 1 https://wordpress.org/?v=6.3.1 Open MSc and PhD positions /hhashim/2022/open-msc-and-phd-positions/?utm_source=rss&utm_medium=rss&utm_campaign=open-msc-and-phd-positions&utm_source=rss&utm_medium=rss&utm_campaign=open-msc-and-phd-positions Thu, 11 Aug 2022 21:34:18 +0000 /hhashim/?p=449 Prof. Hashim Mohamed is currently looking for enthusiastic and self-motivated MSc (2 years) and PhD (4 years) students with expertise in Robotics and Control theory.

  • PhD applicants are recommended to have background in one or more of the following topics: linear/nonlinear control, adaptive control, optimal control, control stability, Lyapunov stability, deep/machine learning, probability and statistics, and applied mathematics.
  • MSc applicants are recommended to have background in one or more of the following topics: linear/automatic control, linear algebra & mathematics, deep/machine learning, mechatronics.

Qualified candidates are invited to send an email, with subject “Prospective MSc/PhD Candidate”, to ( Hashim.Mohamed@carleton.ca ) with the following details:

  1. CV / Resume,
  2. Status: Domestic (Canadian or Permanent Resident) or International
  3. Scanned copy of Transcript(s),
  4. IELTS 6.5 or TOELF IBT 86 (if your first language is NOT English and your most recent full-time education have NOT been in an English-language school system (country in which the primary language is English)),
  5. Research Statement,
  6. GoogleScholar and/or Researchgate link (if applicable),
  7. Also, please provide me with funding requirement: no-fund/partial-fund/full-fund

Any attachment should be in pdf.

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Open PhD Position /hhashim/2022/post-here/?utm_source=rss&utm_medium=rss&utm_campaign=post-here&utm_source=rss&utm_medium=rss&utm_campaign=post-here Mon, 17 Jan 2022 20:43:59 +0000 /hhashim/?p=287 Prof. Mohamed is currently looking for an enthusiastic and self-motivated PhD student (4 years) with expertise in computer vision and observer/state estimation theory. The specific research topic is related to spacecraft relative navigation in proximity operations. The relative navigation objective is to fuse, through advanced filtering techniques (e.g., optimal, nonlinear, and/or neuro-adaptive filters), the measurements from inertial measurement unit (IMU), and the determined pose (i.e., relative position and orientation) from computer vision techniques. Experimental validation with the Spacecraft Proximity Operations Testbed is expected.

The applicant should have strong foundation in one or more of the following topics: nonlinear estimation and control, computer vision, adaptive control, optimal control, nonlinear control stability, deep/machine learning, and neural networks.

Qualified candidates are invited to send an email, with subject “Prospective PhD Candidate”, to (hhashim@carleton.ca) with the following attachments:

– CV / Resume
– scanned copy of Transcript(s)
– cover letter
– one/two publication samples (if applicable)
– GoogleScholar and/or Researchgate link (if applicable)
– TOELF scores (if applicable)

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