What are the responsibilities and job description for the [Expired] PhD and Postdoctoral Positions in Algorithmic Robotics position at PhDFinder?
This position is no longer available.
University: Nanyang Technological University (NTU) Singapore
Country: Singapore
Deadline: Rolling (PhD), Fall 2025 (Postdoc start date)
Fields: Robotics, Artificial Intelligence, Computer Science, Mechanical Engineering, Electrical Engineering
The Algorithmic Robotics Group (ARG) at Nanyang Technological University (NTU) Singapore is pleased to announce multiple openings for highly motivated individuals interested in pursuing advanced research in the field of robotics. These positions are advertised by Professor Sung on LinkedIn.
Available Positions
– PhD Student Positions: Entry in Spring or Fall 2026
– Postdoctoral Researcher: Starting Fall 2025
Requirements For PhD Applicants
– Strong academic background in robotics, artificial intelligence, or machine learning
– Self-motivation and a keen interest in algorithmic robotics research
Requirements For Postdoctoral Applicants
– Prior experience in robot planning and learning
– Demonstrated experience with real-robot experiments is highly desirable
Application Procedure
– PhD Applicants: Please complete the application form provided via the designated Google form. Submissions will be reviewed on a rolling basis. Selected candidates will be invited to proceed with the formal application process via the NTU portal. For additional information, refer to the NTU CCDS website.
– Postdoctoral Applicants: Interested candidates should email their CV to Professor Yoonchang Sung (yoonchang.sung [@] ntu.edu.sg) with the subject line: “[Postdoc Application] Your Name – Affiliation.”
Also See
Professor Yoonchang Sung
Email: yoonchang.sung [@] ntu.edu.sg
We look forward to receiving your applications.
We’re an independent team helping students find opportunities.
Found this opportunity helpful? Support us with a coffee!
University: Nanyang Technological University (NTU) Singapore
Country: Singapore
Deadline: Rolling (PhD), Fall 2025 (Postdoc start date)
Fields: Robotics, Artificial Intelligence, Computer Science, Mechanical Engineering, Electrical Engineering
The Algorithmic Robotics Group (ARG) at Nanyang Technological University (NTU) Singapore is pleased to announce multiple openings for highly motivated individuals interested in pursuing advanced research in the field of robotics. These positions are advertised by Professor Sung on LinkedIn.
Available Positions
– PhD Student Positions: Entry in Spring or Fall 2026
– Postdoctoral Researcher: Starting Fall 2025
Requirements For PhD Applicants
– Strong academic background in robotics, artificial intelligence, or machine learning
– Self-motivation and a keen interest in algorithmic robotics research
Requirements For Postdoctoral Applicants
– Prior experience in robot planning and learning
– Demonstrated experience with real-robot experiments is highly desirable
Application Procedure
– PhD Applicants: Please complete the application form provided via the designated Google form. Submissions will be reviewed on a rolling basis. Selected candidates will be invited to proceed with the formal application process via the NTU portal. For additional information, refer to the NTU CCDS website.
– Postdoctoral Applicants: Interested candidates should email their CV to Professor Yoonchang Sung (yoonchang.sung [@] ntu.edu.sg) with the subject line: “[Postdoc Application] Your Name – Affiliation.”
Also See
- PhD and Postdoc Positions in Magnetism and Spin-Orbitronics at NTU Singapore
- Fully Funded PhD Studentships in Artificial Leaves and Organic Photocatalysis at NTU Singapore
- Singapore – PhD and Postdoc in Smart Textiles at Nanyang Technological University
- Singapore – Fully Funded PhD in Safe and Robust AI at Nanyang Technological University
- Switzerland – PhD and Postdoc Positions in Algorithmic Systems Theory at ETH Zürich
Professor Yoonchang Sung
Email: yoonchang.sung [@] ntu.edu.sg
We look forward to receiving your applications.
We’re an independent team helping students find opportunities.
Found this opportunity helpful? Support us with a coffee!