The Information Coding and Intelligent Transmission (ICIT) Laboratory of the School of Electronics and Information Technology, and sincerely invites young talents to join. The lab is directed by , who is the Chair of Â鶹´«Ã½Ó³» Information Theory Society (ITSoc) Conference Committee and Guangzhou Chapter, a member of the ITSoc Board of Governors.
ICIT offers a vibrant research environment, state-of-the-art facilities, and opportunities for professional growth. If you are driven, enthusiastic, and ready to contribute to ground-breaking research in digital communications and storage, we want to hear from you. ICIT also offers rich platforms and opportunities for young talents to be engaged with the international research communities and industry. It is where you can realize your vision.
Recruit Field Information Theory and Coding, Data Communications and Storage, Artificial Intelligence and Machine Learning.
Recruit Positions
Associate Professor: The applicant should have strong scientific research and technological innovation capabilities, and have achieved high-level results in talent cultivation or academic research; have certain professional influence at home and abroad; have the potential to become academic leaders or outstanding scholars in the field of this discipline. In general, the applicant should not exceed 40 years old.
Assistant Professor: The applicant should have a broad academic vision, active innovative thinking, and a solid research foundation; have achieved relatively high-level professional achievements; and have great potential for academic development. In general, the applicant should not exceed 35 years old.
Postdoctoral: The applicant should have a PhD within the last 3 years, are familiar with the laws of higher education, understand the situation of higher education both domestically and internationally, possess an international academic vision, and have high academic standards and strong research capabilities. They should not exceed 35 years old.
How to Apply Applicants should first send their CV (including date of birth, education history, working experience, publications, awards, and etc.) to Professor Li Chen and copied to his assistant Sue Su ([email protected]). The Lab and the School will review the applications. If suited, the applicants will be contacted. Further interview will be arranged for Associate Professor and Assistant Professor applicants.
