Lebanese International University of Mauritania

Position Overview School: School of Mathematics and Physics Department: Department of Physics Position: Faculty Position in AI for Theoretical and Physics-Informed Modelling [Open Rank] Location: Suzhou, China Job ID: 4367 Contract Type: Fixed-term, renewable. 3rd contract is open-ended 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 over 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. 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. XJTLU is entering a new and exciting phase of its development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is currently opening a new Entrepreneurial Education site in Taicang, part of wider Suzhou, where the Entrepreneur College (Taicang) is located. The Taicang site will be a pioneer of, and an educational model for, the future campus in addressing challenges arising from the 4th Industrial Revolution. Other new initiatives include new working partnerships with Xi’an Jiaotong University, the continued development of the four new Academies, and the exploration of further potential locations to develop the SE model. 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 the UK and other institutional partners. At the same time, XJTLU is exploring future education by blending the educational theory, best practices, and culture from the west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT DEPARTMENT OF PHYSICS The Department of Physics is part of the School of Mathematics and Physics (SMP) at Xi’an Jiaotong-Liverpool University (XJTLU). Research in the Department seeks to explore and explain fundamental aspects of the world we live in, from the smallest subatomic particles to the Universe as a whole. Building on its existing strengths, the Department is expanding into application-oriented areas that can drive technological innovation and help address major global challenges. These include AI for Science, quantum technologies, advanced imaging, and materials-related research. The Department contributes to the delivery of undergraduate teaching in physics and mathematics, while also supporting postgraduate research training through its PhD programme. Current research strengths include astrophysics, high-energy physics, condensed matter physics, materials science, medical physics, and theoretical and mathematical physics, together with interdisciplinary research at the interfaces of physics, data science, and technology. The Department of Physics actively encourages interdisciplinary collaboration across department within XJTLU. Beyond the University, the Department benefits from close links with the University of Liverpool and Xi’an Jiaotong University, while also seeking to strengthen partnerships with research institutes and industry in Suzhou and beyond. These collaborations provide access to complementary expertise, facilities, and broader opportunities for research, innovation, and student development. POSITION INTRODUCTION The Department of Physics at Xi’an Jiaotong-Liverpool University (XJTLU) invites applications for a faculty position in AI for Theoretical and Physics-Informed Modelling. We seek a highly motivated and well-qualified candidate with a strong background in theoretical and computational physics, with expertise in physics-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling, multiphysics systems, complex physical processes, and data-driven scientific simulation. The successful candidate is expected to play a key role in developing physics-informed artificial intelligence methods that integrate physical laws, numerical solvers, and machine learning, with strong emphasis on interpretability, reliability, and scientific validity. The position will contribute substantially to both high-quality teaching and the long-term development of AI-for-Science education and research at XJTLU. RESPONSIBILITIES Conduct high-quality research and publish in top journals; Actively apply for national and international research funding; Supervise research projects of undergraduate and PhD students; Deliver undergraduate and graduate courses in physics and mathematics in English; Actively participate in departmental and university affairs, and promote interdisciplinary collaboration, particularly with data science and artificial intelligence PERSONAL ATTRIBUTES We are looking for colleagues who: Demonstrate strong commitment to both teaching and research excellence; Communicate effectively in academic and professional settings; Work collaboratively and contribute positively to team development; Show initiative, creativity, and strong problem-solving ability; Adapt flexibly to a dynamic international academic environment; Uphold professionalism, integrity, and a strong work ethic; Are capable of mentoring students in research. Essential Qualifications / Experience All applicants must have: A PhD in Physics, Astronomy, or a closely related discipline; Postdoctoral research experience or equivalent academic experience; Demonstrated ability or strong potential in undergraduate and postgraduate teaching; Solid background in observational, experimental, or data-intensive astrophysics; Fluency in written and spoken English. Desirable Qualifications / Experience Ideal candidates will additionally demonstrate: A strong record of high-quality publications in observational astrophysics, including star formation, spectroscopy line analysis, with computational and AI approaches; Proven experience in proposing for, conducting, and leading observations with world-class astronomical facilities (e.g. ALMA, JWST, or comparable major observatories); International academic experience and collaborative ties with globally leading research institutions; Experience leading or playing a key role in national-level scientific projects; Experience mentoring students to produce high-level research outcomes; Strong potential to secure national or international research funding. 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. RESEARCH FUNDING SUPPORT The university provides every new faculty member with a Research Development Fund to encourage them to initiate and/or continue research projects. The university will also support all faculty members to apply for national-level, provincial-level and city level programs. These programs aim to support excellent scientists, both Chinese and non-Chinese-citizen, to work and carry out research in China. Several of the programs are listed below. Successful applications are based on the applicant’s educational background, academic/research field, research achievements, working experience, etc. The university will provide full support on the applications. Talent/Research Program Outstanding Youth Science Foundation Project (Overseas) Innovation Leading Talent Outstanding Leading Talent of International Discipline Young Leading Talent of International Discipline Fund RMB 1-3 Million up to RMB 2 Million 50% of Annual Package 50% of Annual Package 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 (11 days) Annual Leave (36 days) 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 Click the link for the application. Applications must be submitted in a single pdf file that includes, in the order listed below: Cover letter Current CV, including date of birth and country of citizenship Full publication list Research statement (2-5 pages) Teaching statement (1-2 pages) Contract details for three references (2 references for research and 1 reference for teaching) who may be contacted by the recruitment team. For questions or inquiries about the position, please contact Head of Department of Physics, Professor Donghui Quan at Donghui.Quan@xjtlu.edu.cn. For general enquiries, please email HR at Mingwei.Sun@xjtlu.edu.cn. Please quote the position and job ID in your enquiry.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied applied artificial intelligence for industry applications as well as publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please apply with your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.  The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Coordinate procurement and liaison with vendors/suppliers. Participate in computer science related laboratories and tutorials for undergraduate students. Interview and supervise student assistants in the project.  Job Requirements: (Research Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open to fixed-term contract (renewable upon review of satisfactory performance)

As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification, dedicated to applied research in immersive technologies and bridging the gap between academia and industry. Research staff at the Centre have the opportunity to be equipped with applied research skill sets relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team investigating harmful user-generated content in virtual worlds as part of a national research initiative on Online Trust and Safety. The primary responsibility of this role is to investigate users’ experiences with harmful content in these virtual environments, review existing reporting guidelines on these platforms, and evaluate users’ responses to alternative mechanisms. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including labs at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Conduct a comprehensive review of literature, existing safety policies, community standards, and moderation tools currently used in online social gaming platforms Design and execute surveys and interviews to collect data (including participant recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and Conduct thematic analysis on interview transcripts and open-ended survey responses. To lead and report research findings in a form of high-quality publications and present in international peer-reviewed conferences and journals. Develop policy recommendations based on the research findings. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Conduct a comprehensive review of literature, existing safety policies, community standards, and moderation tools currently used in online social gaming platforms Design and execute surveys and interviews to collect data (including participant recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and Conduct thematic analysis on interview transcripts and open-ended survey responses. To lead and report research findings in a form of high-quality publications and present in international peer-reviewed conferences and journals. Develop policy recommendations based on the research findings. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation  Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work