Open Positions
Postdoctoral Researcher Position in Uncrewed Aerial Systems:
The Robotics, Mechatronics, and Automation Laboratory (RMAL) at Toronto Metropolitan University (TMU) in Toronto, Canada, is seeking a Postdoctoral Researcher to work on Uncrewed Aerial Systems. The selected candidate will have the opportunity to contribute to cutting-edge research in aerial robotics while collaborating with a multidisciplinary team and several national and international institutions including the National Research Council of Canada, University of Waterloo, and INRIA Rennes.
About the Role
The successful applicant will:
- Conduct research and development in open-source drone platforms (e.g., PX4, ArduPilot).
- Design and implement control algorithms, motion planning, and vision systems for drones.
- Lead research efforts and mentor graduate students in collaborative projects.
- Publish high-quality research papers in leading journals and conferences.
- Take initiative in preparing grant applications and funding proposals.
- Manage and coordinate research teams to ensure project goals and timelines are met.
Qualifications
Candidates should meet the following requirements:
- Education: A PhD in one of the related fields including Robotics, Control, Electrical Engineering, Computer Engineering, Mechanical Engineering, Mechatronics Engineeriing, Computer Science.
- Experience:
- Hands-on experience in drone development, including open-source platforms (e.g., PX4, ArduPilot).
- A proven track record of peer-reviewed publications in high-quality journals and conferences in robotics, control, or aerial systems.
- Experience leading research teams and coordinating projects.
- Skills:
- Strong programming skills in C/C++, Python, or other relevant languages.
- Knowledge of ROS/ROS2 and PX4 flight stack is an asset.
- Expertise in robot modeling, control, motion planning, and machine learning applications.
- Background in hardware/software integration for robotic systems.
- Additional Requirements:
- Oral and written proficiency in English
- Strong organizational and leadership skills, with the ability to manage research and mentor students effectively.
- A demonstrated ability to work collaboratively in a team environment
Additional Information
- Start Date: Immediate
- Salary and benefits: very competitive and above the Canadian NSERC norm, depends on the qualifications.
- RMAL is committed to equity, diversity, and inclusion. Preference will be given to candidates from equity-seeking groups with equal qualifications. International candidates are encouraged to apply.
- Indigenous candidates are encouraged to self-identify and may contact Tracey King, Aboriginal HR Consultant, for support during the selection process.
How to Apply?
- Applicants are required to submit the following documents in PDF format via email to RMAL@torontomu.ca:
- A detailed CV.
- A targeted motivation letter describing your research interests, qualifications, and fit for the position. Be specific about how your expertise aligns with drone development and open-source technologies.
- All academic transcripts (Bachelor’s, Master’s, and PhD degrees).
- Contact information (email and phone) for three references (preferably recent supervisors).
- In the email subject line, please write: “Postdoc_UAV_2025.”

Evaluation and Contact
Applications will be reviewed on a rolling basis until the position is filled. Shortlisted candidates will be contacted for an interview. Incomplete applications or those not meeting the requirements will not be considered. We thank all applicants for their interest in RMAL. However, only those shortlisted will be contacted.
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Multiple PhD Positions in Robotics and Control
[Opened on April 4, 2024]
Our lab, in collaboration with the University of Waterloo (external link, opens in new window) , National Research Council of Canada (external link, opens in new window) , and St. Michael’s Hospital (external link, opens in new window) is seeking PhD applicants to conduct research in one of the following areas: Aerial Robotics, Continuum Robotics, Visual Servoing, Medical Robotics, and Quantum Computing with full financial support. If you possess a strong background in at least one of the core research areas in our lab, namely robotics, control, and computer vision, please consider applying. The applicant’s competency will be evaluated based on their high-quality publications, prior projects, and grades in specific courses influential on the intended research. Prior hands-on experience related to the target research will be an asset. Naturally, qualified candidates will have profiles/skills from the following:
· Previous degrees in Electrical Engineering, Mechanical Engineering, Mechatronics/Robotics Engineering, Biomedical Engineering, Computer Engineering, Computer Science, or other related disciplines.
· Previous knowledge and experience in robot modeling and control, motion planning, robotic manipulation, vision systems and potentially visual servo control, and machine/deep learning applications in robotics and vision.
· Good background and experience in hardware and software design and integration for robotic systems.
· Good programming skills in C/C++, Python, or others. Experience with ROS is not required but is an asset.
· Minimum GPA of 3.33/4.33 (B+ or equivalent) in the master’s program (see International Equivalencies, if needed).
· English proficiency (Overall score in IELTS >= 7.0 or TOEFL IBT >= 93).
The successful candidates will be involved actively in research, co-supervising students, helping with grant application preparation, and teaching.
Additional Information
· The anticipated start date is Fall (September) 2024 or Winter (January) 2025. The application opens around mid-October 2023, and applicants selected after interviews will be encouraged to apply officially.
· RMAL is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information.
· Preference will be given to individuals from equity-seeking groups with equal qualifications. International candidates are highly encouraged to apply. We encourage all First Nations, Metis, and Inuit peoples or Indigenous peoples of North America, to self-identify in their applications and also reach out to Tracey King, Aboriginal HR Consultant for support during the selection process.
How to Apply?
The following documents are needed for the application:
· A detailed CV;
· A targeted motivation letter describing your research interests, your qualifications, and why you would be a suitable candidate for our position. Please be as specific as you can in describing what you will bring to the position.
· All academic transcripts from your previous degrees (Bachelor’s and Master’s degrees);
· Email addresses and contact numbers (preferably cell phone numbers) of three references (preferably your recent supervisors).
Interested applicants should send the necessary documents via email ONLY to RMAL@torontomu.ca. Applications should be submitted in PDF format. In the subject line, please indicate: “PhD_2024”. Applications will be continuously received and evaluated until the position is filled. We thank all candidates for their interest; however, only shortlisted candidates will be contacted for an interview. Incomplete applications or applications not meeting the minimum requirements will NOT be considered.
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Undergraduate or Graduate Research Assistant - UAV Design, Control, and Electronics
[Opened on April 4, 2024]
We are seeking a highly motivated and talented undergraduate or graduate student to join our dynamic team as an intern, focusing on UAV (Unmanned Aerial Vehicle) design, control, and electronics. This is an exciting opportunity to gain hands-on experience in cutting-edge technologies and contribute to innovative projects.
Qualifications:
· Knowledge of ROS/ROS2
· Experience with PX4 flight controller
· Experience with embedded hardware and motor controllers
· Experience in CAD design and software packages like SolidWorks or Solid Edge
Responsibilities:
· Design and development of UAV systems, including both hardware and software components
· Assist in the implementation of control algorithms for UAV navigation and trajectory planning
· Collaborate with a multidisciplinary team to integrate electronic systems into UAV platforms
· Troubleshoot and debug electronic systems
Interested individuals are encouraged to fill out (word file) this form (opens in new window) and send it by email to (RMAL@torontomu.ca) as soon as possible and attach a copy of their resume with the names and email addresses of three references and copies of their transcript(s).