Research Fellow (Gesture—Sign Linguistics, Computational Linguistics)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Nanyang Technological University in Singapore seeks a Research Fellow to support the Principal Investigator in advancing research on gesture, sign language, and computational linguistics. The role focuses on designing experiments, analysing data, and contributing to publications and deliverables.

You will annotate video data, apply statistical methods, supervise junior assistants, and work with project partners while adhering to ethical guidelines and project timelines.

Qualifications

• PhD in Linguistics, Sign Language Studies, Cognitive Science or related field.
• Experience in gesture studies, sign language research, or experimental linguistics.
• Proficiency with video/motion-capture annotation tools and statistical/computational analysis (R, Python, ELAN).

Responsibilities

• Design and conduct experiments on gesture and sign language
• Annotate and analyse video/motion-capture data
• Apply statistical methods to linguistic data
• Collaborate with the PI and partners on findings and publications
• Supervise junior student assistants
• Prepare reports and contribute to publications
• Ensure compliance with ethical guidelines and project timelines

Skills

Video annotation tools

Statistical analysis

Python

R

ELAN

Communication

Independent work

Collaboration

Education

PhD in Linguistics

PhD in Sign Language Studies

PhD in Cognitive Science

Tools

ELAN

Job description

We are looking for a Research Fellow to support the Principal Investigator in advancing research on gesture, sign language, and computational linguistics. The role will focus on designing and conducting experiments, analysing gesture and sign language data, and collaborating with the PI and project partners on related publications and deliverables.

Key Responsibilities

• Design and conduct experiments on gesture and sign language
• Annotate and analyse video/motion-capture data
• Apply statistical methods to linguistic data
• Collaborate with the PI and partners on findings and publications
• Supervise junior student assistants
• Prepare reports and contribute to publications
• Ensure compliance with ethical guidelines and project timelines

Job Requirements

• PhD in Linguistics, Sign Language Studies, Cognitive Science, or a related field
• Relevant experience in gesture studies, sign language research, or experimental linguistics
• Proficiency in video/motion-capture annotation tools and statistical/computational analysis (e.g. R, Python, ELAN)
• Strong written and oral communication skills
• Ability to work independently and collaboratively across disciplines

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution

NTU, a research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg

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