Overview
A targeted five-month research internship programme will send 30 institutionally nominated young scientists from Uzbekistan to Huazhong University of Science and Technology in China during 2026–2027.
Complete internship details
The official call lists six research tracks: embodied intelligence, computational imaging technologies, emergency rescue, AI-based video coding, intelligent wireless communications, and intelligent wireless positioning. The programme language is English, the placement lasts five months, and 30 participants are planned. Nominating higher-education institutions and research organizations must submit candidate documents only through the official internship system. The source states applications are accepted through 30 September 2026 at 23:59 but does not label the timezone, so only the date is stored.
Eligibility requirements
Candidates must be young scientists recommended by an eligible higher-education institution or research organization under Uzbekistan's official short-term foreign scientific internship rules. Institution-level nomination is required; other submission channels are not accepted.
Tips for this internship
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Primary-source call verified current on 7 September 2026. The source states 30 September 2026 at 23:59 but does not explicitly name the timezone; deadline_date is therefore used without inventing UTC.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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