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Join Us

CLAIR’s work spans learning, analytics, and responsible human–AI interaction. This page is a recruitment template and must be aligned with the lab’s approved policies before it is published.

01

PhD Students

Prospective PhD students may contact the lab to ask about research opportunities in AI in education and learning analytics. [Replace with the lab’s current PhD recruitment policy and available positions.]

02

Master’s Students

Master’s students may be able to contribute to supervised research projects. [Replace with programme eligibility, supervision capacity, and current topics.]

03

Undergraduate Students

Undergraduate research projects may be possible where interests and supervision align. [Replace with the approved pathway and application timing.]

04

Visiting Researchers

Researchers interested in visiting or collaborating with CLAIR may send a concise introduction and proposed area of collaboration. [Replace with visitor requirements and institutional procedures.]

How to apply

Send application materials to [Contact email].

CV

[Preferred format and length]

Transcript

[Official or unofficial transcript requirements]

Research interests

[Topics, questions, and fit with CLAIR]

Relevant experience

[Research, methods, or technical experience]

Previous publications / projects

[Links or attachments, if applicable]