
(Ref. 261007006)
The Department of Language Science and Technology (LST) is an academic unit within the Faculty of Humanities dedicated to the scientific study of language in all its facets. With a team over 70 committed academic and teaching/clinical staff members, our work spans from investigating the biological and cognitive foundations of language to its societal function in multilingual environments and its transformation through technology. The Department pursues interdisciplinary research that integrates core language science domains such as artificial intelligence and big data analytics, with applications in communication, education and healthcare. Alongside research activities, the Department actively translates scholarly insights into practice through clinical services, educational outreach, and technology development that serve both local and international communities. The Department houses several specialised units, including the Speech Therapy Unit, the Research Centre for Language, Cognition and Neuroscience, and the Centre for Translation Studies, which serve as vital hubs for both research and practical application. More information about the Department can be found at https://www.polyu.edu.hk/lst/.
Duties
The appointee will be required to:
(a) conduct research as the main duty and actively pursue external research grants, such as General Research Fund, as Principal Investigator or Co-Investigator;
(b) provide quality teaching at undergraduate or postgraduate levels;
(c) contribute to departmental service; and
(d) perform any other duties as assigned by the Head of Department or his/her delegates.
Qualifications
Applicants should:
(a) have a PhD or an equivalent research-based doctoral degree in a relevant field, such as Neuroscience, Linguistics, Cognitive Science, Speech-Language Pathology, Biomedical Engineering, Computer Science or a closely related field;
(b) preferably possess at least two years of postdoctoral research experience;
(c) have demonstrated expertise in neuroscience and neurotechnology and the ability to integrate them with language and speech data using computational approaches, as evidenced by publications and research experience using one or more of the following:
• Neuroimaging (e.g., f/MRI, EEG/MEG, fNIRS or ECoG);
• Neuromodulation (e.g., TMS, tDCS/tACs or DBS);
• Brain-Computer Interfaces (BCI) or Assistive Neurotechnologies;
• Computational Modelling of Neural Signals;
(d) have a strong track record in designing and developing AI, machine learning or deep learning models for language or speech data;
(e) have a strong track record of publishing in high-quality international journals as a first or corresponding author, and demonstrated potential to secure competitive external research funding;
(f) be open to the use of e-learning and blended learning strategies in teaching and scholarship;
(g) have good networking ability and interdisciplinary collaboration skills;
(h) be able to demonstrate effective classroom teaching skills; and
(i) be highly proficient in written and spoken English.
Conditions of Service
A highly competitive package including a medical benefits plan and a gratuity payable upon completion of the term which is normally for two to three years initially, with possibility of extension.
Consideration of applications will commence on 6 November 2026 until the position is filled.
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