Job and Programme Opportunities

Job and Programme Opportunities

Job and Programme Opportunities

The School of Internet of Things provides opportunities for students and applicants to participate in research, teaching support, laboratory development, AIoT+X projects, industry collaboration, and PhD study. This page provides an overview of common opportunity types and lists current openings when available.

 

Opportunity Type Description
Faculty Positions Academic Discipline: Computer science, Information science, Electronics, Artificial intelligence, Networking and Communication.
PhD Opportunities Supervisor-led or project-based PhD research opportunities in AIoT, IoT systems, cybersecurity, edge intelligence, sensing, networking, and related applications.
Research Assistantship (RA) Assist faculty members with research projects, including literature review, experiments, data analysis, prototype development, software/hardware testing, and paper or project preparation.
Teaching Assistantship (TA) Support teaching activities such as tutorials, laboratory sessions, grading, student consultation, and course preparation.
Lab / Project Assistant Support laboratory operations, equipment setup, AIoT+X Studio projects, demonstrations, documentation, testing, and student project activities.
Industry-linked Opportunities Participate in industry-sponsored projects, internships, joint laboratory activities, industrial challenges, and collaborative research with enterprise partners.

Open Positions

Position: Research Assistant

Research Area: AIoT Security / Edge Intelligence

Eligibility: MSc / PhD students or senior UG students with relevant skills

Deadline: 30 July 2026

Position: Teaching Assistant

Module: UG Modules

Contact: IOT@xjtlu.edu.cn

Eligibility: MSc / PhD students

Deadline: 30 August 2026

Position: Project-based PhD Candidate

Project Title: A multiphase flowmeter based on comparison and cross-validation of dual Microwave sensing and Electromagnetic higher order imaging measurements techniques for the cross-section of oil-gas-water holdup and multiphase flow velocity

Xi’an Jiaotong-Liverpool University (XJTLU) Principal Supervisor: Dr Muhammad Ateeq

Xi’an Jiaotong University (XJTU) Supervisor: Dr Ma Lu

University of Liverpool (UoL) Supervisor: Dr Baoru Huang

Contact: Muhammad.Ateeq@xjtlu.edu.cn

How to Apply

To apply for an open opportunity, please follow the instructions in the position card or the linked PDF. Each opening may have different requirements, deadlines, supervisors, and application materials.

Typical application materials may include:

– CV or résumé

– Short statement of interest

– Transcript or academic record, where required

– Portfolio, GitHub link, project sample, or writing sample, where relevant

– Any additional documents listed in the position PDF

 

Please send your application to the listed contact person or submit it through the provided application link. Incomplete applications may not be considered.

 

Contact

For general inquiries listed on the corresponding position card or PDF about opportunities, assistantships, PhD positions, or project-based roles at the School of Internet of Things, please contact the school office IOT@xjtlu.edu.cn or the contact person listed in each opening.

For position-specific questions, applicants should contact the supervisor or staff member named in the corresponding position card or PDF document.