Study in Ireland in Europe. The Maynooth University Department of Computer Science is inviting applications for PhD Studentship in Computer Vision for Autonomous Vehicles. International students are eligible to apply for this studentship programme.
The National University of Ireland, Maynooth, commonly known as Maynooth University, is a constituent university of the National University of Ireland in Maynooth, County Kildare, Ireland.
The candidate should have a very good command of the English language. Therefore, the application should be written in English.
Scholarship Program
Course Level: Studentship is available to pursue PhD programme.
Study Subject: Studentship is awarded in the field of Computer Vision for Autonomous Vehicles. The topic of the PhD is robust data-association in multi-session and collaborative simultaneous localisation and mapping (SLAM).
Scholarship Award: The position is fully funded for 4 years.
Nationality: International students are eligible to apply for this studentship programme.
Number of Scholarships: Numbers not given
Eligibility for the Scholarship
Eligible Countries: International students are eligible to apply for this studentship programme.
Entrance Requirements: Applicants must meet the following criteria:
The successful candidate must have: –
Experience in the following is also desirable:
English Language Requirements: The candidate should have a very good command of the English language. Therefore, the application should be written in English.
Application Procedure:
How to Apply: Applications including a cover letter, full CV, and contact details of two academic referees should be sent to Dr. John McDonald (John.McDonald-at-mu.ie) with the subject line “LERO PhD 08/18”.
Apply Now or visit : Official Website
Applications Deadline: August 10, 2018
The National University of Ireland, Maynooth, commonly known as Maynooth University, is a constituent university of the National University of Ireland in Maynooth, County Kildare, Ireland.
The candidate should have a very good command of the English language. Therefore, the application should be written in English.
Scholarship Program
Course Level: Studentship is available to pursue PhD programme.
Study Subject: Studentship is awarded in the field of Computer Vision for Autonomous Vehicles. The topic of the PhD is robust data-association in multi-session and collaborative simultaneous localisation and mapping (SLAM).
Scholarship Award: The position is fully funded for 4 years.
Nationality: International students are eligible to apply for this studentship programme.
Number of Scholarships: Numbers not given
Eligibility for the Scholarship
Eligible Countries: International students are eligible to apply for this studentship programme.
Entrance Requirements: Applicants must meet the following criteria:
The successful candidate must have: –
- A Bachelor’s or Masters degree in Computer Science, Electronic Engineering, or a cognate discipline, with a final grade of 2.1H or higher (or equivalent)
- Prior modules completed in a selection of the following topics: computer vision, robotics,
- AI/machine learning
- A strong mathematical background
- Excellent software development and programming skills, with a strong capability in C++
- Experience in working with Linux based systems
- Excellent written and verbal communication skills
Experience in the following is also desirable:
- Application of computer vision/ robotics/machine learning to real-world problems (e.g. through previous projects, internships, etc.)
- Python, Open CV, the Robotics Operating System (ROS), Deep Learning Frameworks (e.g. pytorch, TensorFlow, etc.)
English Language Requirements: The candidate should have a very good command of the English language. Therefore, the application should be written in English.
Application Procedure:
How to Apply: Applications including a cover letter, full CV, and contact details of two academic referees should be sent to Dr. John McDonald (John.McDonald-at-mu.ie) with the subject line “LERO PhD 08/18”.
Apply Now or visit : Official Website
Applications Deadline: August 10, 2018
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