Imperial College London

ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT THE INDUSTRIAL INTELLIGENT AGENT RESEARCH CENTER The Industrial Intelligent Agent Research Center at Xi'an Jiaotong-Liverpool University, aligned with national smart manufacturing strategies, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation & Maintenance Intelligence – System Autonomy," aiming to drive profound transformation in industrial manufacturing by breaking through key technologies in smart equipment, industrial software, and system solutions. The center collaborates closely with industrial giants like Hengtong, Haier, and Bond Tech to create a complete value chain from theoretical innovation to industrial application. Job Description We cordially invite applications for Assistant Professor positions from individuals with outstanding research potential in Industrial Intelligent Agents and related fields. Successful candidates will conduct frontier research, join research teams, and participate in the center's core technology initiatives. We particularly welcome scholars with outstanding achievements in areas such as Industrial AI, Intelligent Control Systems, and Industrial Software. Key Responsibilities Scientific Research: Conduct innovative research in core directions of Industrial Intelligent Agents, including but not limited to: Autonomous Decision-Making Systems, Industrial Digital Twins, Intelligent Operation & Maintenance, Advanced Process Control, etc. Actively apply for research grants such as the National Natural Science Foundation of China, Jiangsu Provincial Natural Science Foundation, and industry-sponsored projects. Publish high-quality academic papers in top-tier international journals and conferences. Talent Cultivation: Teach undergraduate and postgraduate courses. Supervise PhD and Master's students. Develop cutting-edge courses and experimental teaching systems related to Industrial Intelligent Agents. Academic Service: Participate in the center's important academic activities and international collaboration projects, assisting in enhancing the discipline's influence. Promote the industrial applications of research outcomes, engaging in deep collaboration with the center's partner enterprises. Qualifications Essential Requirements: A Ph.D. (obtained or soon to be obtained) in Automation, Computer Science, Artificial Intelligence, Mechatronics, Mechanical Engineering, or a related field. Solid theoretical foundation and outstanding research capabilities, with first-author publications in high-level international journals in related fields. Good teaching potential and communication skills, capable of teaching in English. Team spirit and ability to conduct research independently. Preferred Qualifications: Experience with industrial field projects or familiarity with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas research experience or experience collaborating with industry. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as: Housing allowance, Travel allowance, Relocation allowance etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays: Statutory Holidays (13 days) Annual Leave (34 days per academic year including university close days and annual leave) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental Leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Applications must be submitted in a single pdf file that includes 3 parts in the order of: A cover letter A current CV, including date of birth, country of citizenship, and highest degree level Contact Details for Three References For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn

Job Description SCHOOL OF CHINESE MEDICINE TEACHING AND RESEARCH DIVISION The School of Chinese Medicine (SCM) was established in 1999 and offers comprehensive education programmes in Chinese medicine, including both undergraduate and postgraduate degree programmes in Chinese Medicine and Pharmacy in Chinese Medicine. The School is engaged in a wide range of research projects, provides Chinese medicine healthcare services to the community, and seeks to foster modernisation of the Chinese medicine profession. To consolidate the strengths of innovative research, the School has established eight high quality theme-based Research Centres equipped with advanced equipment and facilities. The highlighted strategic research areas in the School include (1) Precision medicine and phenomics study; (2) Translational medicine and innovative drug discovery; and (3) Authentication and testing of Chinese medicines. Associate Professor / Assistant Professor (23240130) To strengthen the research capacity, power the current research disciplinaries of SCM and keep up with the evolving global research environment of Traditional Chinese Medicine (TCM), the School is hiring a full-time faculty member at Assistant Professor level or above related to data science and/or computational chemistry. The data science expert, preferably with research experience in Chinese Medicine-related projects, will interact closely with the current faculty members on collaborative research projects to bring breakthrough efforts in the modern Chinese medicine research field. Candidates should possess a PhD degree in or related areas and relevant postdoctoral training with experience in and a strong understanding of bioinformatics, biostatistics, computational drug discovery and translational research. Preference will be given to candidates with appealing external grant records, outstanding publication and leading potential in research areas of clinical or populational studies with innovative therapeutic interventions. Overseas experience in world-class universities and good English communication skills are highly desirable. The appointee is also expected to teach subjects at both undergraduate and postgraduate levels, establish a vigorous research program in the areas of interest, and develop research cluster by collaborations within and outside the School. Application will be open until the position is filled. This is a tenure-track position with an initial appointment on a fixed-term contract of two to three years. Re-appointment thereafter will be subject to mutual agreement. Tenured appointment is expected to be attained within six years. Outstanding candidate at Associate Professor may be considered for tenure on appointment. Rank and salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably three best ones out of their most recent publications/works. Applicants should also request two referees to send in confidential letters of reference, with Job Identification number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit@hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the submission of application may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make appointments for the posts advertised, and the appointments will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.

Job Description DEPARTMENT OF COMPUTER SCIENCE Research Assistant Professor in Computer Science (3 vacancies) (23240021) The Department presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Prof. Jianliang Xu, Head of Department (email: xujl@comp.hkbu.edu.hk) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably the three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with the Job Identification number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit@hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the submission of the application may consider their applications unsuccessful. All application materials including publication samples, and scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the positions are filled.