The Egyptian University in Alamein

Job Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are seeking a highly motivated and talented Research Fellow to join an exciting applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of delivering real-time Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and timeliness are paramount. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted offloading strategies for IoT networks. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of closed-form theoretical latency and timeliness expressions for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and development of edge-assisted offloading strategy and associated software APIs. Validation of edge-assisted offloading strategy via simulations and live demonstrations. Job Requirements A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player. Strong theoretical background in wireless communications or edge computing will be advantageous. Proven track record in research and development of edge intelligence algorithms will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous

School: School of Advanced Technology Department: Department of Mechatronics and Robotics Position: Faculty [Open Rank] Location: Suzhou, China 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 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 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 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 SCHOOL OF ADVANCED TECHNOLOGY The School of Advanced Technology has five departments (intelligent Science, Computing, Mechatronics and Robotics, Electrical and Electronics Engineering and Communications and networking). As a research and practice-led school our faculty and staff are committed to providing our students with a challenging and stimulating environment, as well as unlocking their full potential. Upon graduation, students will become highly-sought-after candidates with strong academic knowledge as well as extensive transferable skills in communication, team-work and project management. All academic staff members at the Department of Mechatronics and Robotics (MEC) are research active and have closely engaged with industry in and around Suzhou to support the research and development of Suzhou’s strategic aim of intelligent manufacturing. Suzhou is one of the top three cities in China and one of the top ten cities in the world in intelligent manufacturing, which provides huge opportunities for research and development, self-development, and employment. With rapidly increased student number, we are seeking applicants with a strong research track record, high level of ambitions, and enthusiasm to engage with our diverse students to join our team. Areas of expertise in Department of Mechatronics and Robotics: Networked Mechatronic Systems; Robotics and Control; and Product Design and Optimisation. RESPONSIBILITIES Applicants will have extensive teaching experience, have published high quality papers in their area of expertise, have been successful in obtaining research grants, and have substantial experience in the supervision of research students. The successful candidate, in addition to teaching typically two modules/courses per year (i.e. one per semester), will provide leadership in curriculum development and enhancing our research profile at the international level. They are expected to assume administrative responsibilities based on their experience. PERSONAL ATTRIBUTES Self-motivated and being able to motivate others; Strong leadership and interpersonal skills; Strong team player; Proactive and flexible but with good respect for deadlines; Able to work in an environment where diversity and inclusiveness is appreciated. ESSENTIAL QUALIFICATIONS/EXPERIENCES A PhD in mechatronics, robotics, biomedical engineering, or a closely aligned area and PG Cert HE or equivalent; Ideally few years of teaching/research experience at a university or equivalent after completion of PhD degree; PhD supervision capacity; Strong publications record in an area of expertise; Evidence of success in obtaining research grants; Fluency in English. Successful applicants to more senior professorial ranks are expected to also show: A significant record of high-quality academic publications, A number of external research grants awards, Experience in PhD supervision. Desirable Qualifications/Experience: Professional memberships such as BCS, IET, ACM, IEE, IEEE, and HEA; Strong knowledge / experience in international higher education. 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 members with Research Development Fund to encourage them to initiate research projects, and Research Engagement Fund provided to support their continuous research activities.  The university will also support all faculty members to apply for national, province 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.  Some of the programs are listed in the table 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  -  Fund  Outstanding Youth Science Foundation Project (Overseas) RMB 1-3 Million Innovation Leading Talent   up to RMB 2 Million Outstanding  Leading Talent of International Discipline   50% of Annual Package Young Leading Talent of International Discipline  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 Kids’ education 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, including University closing 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 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 Mengyi.Wang@xjtlu.edu.cn.

UniSQ is a bold, ambitious, and deeply community-connected institution leading the transformation of regional Australia through education, research, and innovation —where student-centred learning meets world-class research with real-world impact. The School of Nursing and Midwifery is one of five Schools reporting directly to the Deputy Vice-Chancellor (Academic and Research). The School offers a diverse and comprehensive suite of programs, including the Bachelor of Nursing, Graduate Diploma of Midwifery, and a range of postgraduate specialisations spanning Advanced Practice, Clinical Education, Gerontology, Rural and Remote Health, and Leadership and Management. These programs are central to UniSQ’s commitment to developing a highly skilled, adaptable and future‑ready nursing and midwifery workforce that meets the needs of communities and health systems. UniSQ is seeking an outstanding person to provide vision and leadership as Head of School and Dean, Nursing and Midwifery. This role will have responsibility for advancing teaching and education scholarship, and innovation, the future development of research excellence, and evidenced-based practice with a strong connectivity to community and the health services. The successful candidate will foster a collaborative and productive research environment through industry partnerships, health service collaborations, grants, publications, and research higher degree graduates. The role will work closely with the School’s academic team and health profession regulators to ensure curriculum is innovatively progressing nursing and midwifery practice, with a strong focus on student experience. The position can be based in either Ipswich or Toowoomba. Current Nursing registration and or eligibility is essential. We are seeking an inspiring nursing and/or midwifery academic leader with a strategic vision for the future of nursing and midwifery education and research. Your excellent academic leadership skills should be coupled with a demonstrated track record of engagement with health services and communities and your ability to collaborate across the University. For a confidential discussion or to request the candidate information booklet, please contact  Janine Fitzgerald on +61 424 164 765 or at jfitzgerald@robinsonfitzgerald.com.au or Kate Robinson on +61 409 769 560 or at krobinson@robinsonfitzgerald.com.au, quoting reference RF0258.  Applications can be sent to either or both of the above email addresses and will close on the 1st April 2026.