Sombridge University

The primary responsibility of this role is to deliver on an academic research project funded by MPA, where you will be part of the research team under the project titled: HarbourCraftSafe: Fire Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators. Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal runaway in the battery room and beyond, considering the various common battery chemistries in eHC and atmospheric conditions. You will also need to experimentally characterise the heat release rate (HRR), flammable and toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in detecting the battery gas releases for remote monitoring and early detection, and evaluate the potential fire suppression strategies on battery fires. Job Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: i. Assists in co-supervision of final year projects (FYP) or capstone projects students under the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables. iii. Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects. iv. Prepares and shares fortnightly report of results from the computations with the PI. 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 Requirements: Master or Ph.D (preferred) in Mechanical Engineering, Marine and Offshore Engineering or related fields. Strong knowledge and experience in battery fire simulation is high advantageous. Hands on experience on experimental studies Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in battery fire combustion and spread. Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package and FDS is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT and FDS, Meshing tool and post-processing software. Able to work independently with strong data analytical skills, communication and interpersonal skills. Key Competencies: Proficient in Ansys Fluent or FDS Simulation Strong foundation in Fluid Dynamics Able to work independently with strong data analytical skills, communication and interpersonal skills. 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

Location: Doha,QA Department Name: Public Health Department Qatar University profile:http://www.qu.edu.qa/ Qatar University is the national institution of higher education in Qatar, comprising nine colleges and offering the largest selection of undergraduate and graduate programs in the country. Qatar University seeks the highest international accreditations of its academic programs, while ensuring they are aligned with the growing needs of the labor market and the aspirations of the society it serves. It currently boasts a population of over 20,000 students, and an alumni body of over 40,000. QU Health http://www.qu.edu.qa/health Qatar University launched the QU Health Cluster in January 2017 to provide closer alignment and integration between the health entities at QU. Together, the College of Medicine, the College of Health Sciences, and the College of Pharmacy create a dynamic environment that embraces experts in the education of health care professionals. Areas of collaboration at QU Health include research, graduate studies, clinical affairs, continuous professional development, inter-professional education, engagement and communication, as well as business operations. http://www.qu.edu.qa/chs/ In 2016, the College of Health Science (CHS) became the ninth college at Qatar University, building on a 30-year success story as a department. CHS is the national provider of high quality health sciences education and research in Qatar, offering undergraduate (BSc) programs in biomedical sciences, human nutrition, public health, and physiotherapy as well as graduate programs in biomedical science, genetic counseling and public health. CHS faculty members have excellent opportunities to secure intramural and extramural research funding. Qatar National Research Fund (QNRF) is major source of research funding, including a variety of student research funding programs. The position The College of Health Sciences is seeking to recruit a qualified candidate for a position in Public Health at the level of Teaching Assistant. The successful candidate will assist faculty members at the Department of Public Health in assessing and administering courses related (but not exclusive) to biostatistics and epidemiology. The position also involves delivering tutorial sessions and running student workgroups, in addition to student advisory role. Duties & Responsibilities Prepare and deliver practical/ lab/ tutorial sessions. Under the supervision of the course instructor, teach independently introductory and/or other professional and technical–based sessions. Assess and evaluate student assignments/ tests, quizzes, exams/ project and grade student performance under the direct supervision of course instructors. Provide academic assistance to students during office hours. Assist with senior students' graduation projects. Organize field trips and supervise internship and field studies. Serve on departmental or faculty committees dealing with general departmental and administrative concerns, as assigned by Head of Department. Contribute to academic advising and assist in Department/College events Support research activities in the department  Other responsibilities as assigned by the Head of Department Qualifications Master’s degree in biostatistics, or epidemiology, or a similar field. At least two-year experience in running tutorials in Biostatistics and Epidemiology to public health and/or medical students in an academic or clinical setting Familiarity with educational technologies in higher education Flexibility in dealing with various academic and administrative tasks Excellent written and oral communication skills Ability to communicate clearly with students on an individual basis or in small groups and to liaise with faculty members. Arabic language is preferable. Required Documents Academic: Current Curriculum Vitae. Cover letter. Teaching, research, and service philosophy. Three referees’ contact information (physical and email addresses as well their telephones contact). Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed. However, if no course work was completed, an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree). Any additional documentation that you feel is relevant to your application. Benefits Academic: A three-year renewable contract. Salary is commensurate with experience. Tax-free salary.    Furnished accommodation in accordance with QU HR policies. Annual round trip air tickets for faculty member and dependents in accordance with QUHR policies. Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies. Private health care and health insurance in accordance with QU HR policies. Annual leave in accordance with QU HR policies. End-of-contract indemnity. How To Apply                 Returning Applicant:  Please login in QU Recruitment Online website (https://careers.qu.edu.qa) to update/edit your saved profile. Use this profile to apply for this position. New Applicant:  You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position. Job Category: Academic End Date of Advertisment: 15-Feb-2026

SCHOOL: School of Artificial Intelligence and Advanced Computing (AIAC) ACADEMIC DISCIPLINE: Artificial Intelligence, computer science, data science POSITION TITLE: Faculty Position in Artificial Intelligence and Advanced Computing (Open Rank) CAMPUS: Xi’an Jiaotong-Liverpool University [XJTLU], Entrepreneur College (Taicang) Campus CONTRACT TYPE: Full-time; Fixed-Term/3-year contract, renewable. The 3rd contract is open-ended. University Overview 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, 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. 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 Entrepreneur College (Taicang) Overview In 2019, the XJTLU Entrepreneur College (Taicang) was launched as a pioneer of and an educational model for the future university and campus in developing talents and leaders to meet local, national, and global challenges arising from the 4th Industrial Revolution. Developed in collaboration with the Taicang Municipal Government and industry partners, the XJTLU Entrepreneur College (Taicang) moved to the university’s newly opened award-winning Taicang campus within Greater Suzhou in September 2022. As a result, there are opportunities at all levels for innovative academics in the fields represented by several different schools and education platforms. For detailed information about the XJTLU Entrepreneur College (Taicang), please visit: https://www.xjtlu.edu.cn/en/study/departments/entrepreneur-college-taicang/ AIAC School Overview The School AI and Advanced Computing (AIAC) is one of 7 industry-themed Schools in the XJTLU Entrepreneur College (Taicang). Common to each School is an Education, Research and Development Institute (“ERDI”) for teaching and university-business research collaboration, a professional services centre supporting the daily activities of students, staff, and business partners, and a School Affiliated Company, which has been jointly established by XJTLU and the School’s industry partner for practical on-the-job learning and teaching. AIAC has been developed with the direct involvement of leading businesses at the forefront of AI and computing developments. As a result, the School has a robust business development strategy linked to the AI industry’s technological and research developments. Our industry-led research is underpinned by our entrepreneurial ethos that is central to the School’s activities. Academic staff work closely with our industrial partners, developing academic programmes and research projects that focus on applied AI solutions and commercialisation opportunities. Our student-centred teaching ensures students are at the heart of everything we do. Our degree programmes offer a solid grounding in the foundations of the discipline, immerse students in entrepreneurialism and technology through industry practices, and ensure students are fully prepared for their career development. For detailed information about the university, please visit: School of AI and Advanced Computing - Xi'an Jiaotong-Liverpool University Responsibilities and Duties We are looking for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial intelligence, or mathematical modelling who can: Conduct high-quality research, evidenced by publications in leading journals, and attract industry and government research funding by offering significant research impact. Deliver high-quality teaching to undergraduate and graduate students, as evidenced, for example, by peers, students and external examiners. Engage actively with new educational models and embrace innovative, interactive, technology-enhanced learning, teaching, and assessment approaches. Understand and have an entrepreneurial and innovative spirit in line with the ethos of the campus and college. Ensure that the school and curriculum design delivers an inclusive learning experience, as evidenced through student satisfaction, personal development and positive degree outcomes, and work with industry partners to achieve this. Any other work-related tasks assigned by the Dean or Director of ERDI. Essential Qualifications/Experience A PhD in computer science, data science, artificial intelligence, and, ideally, a PgCert HE or equivalent. Ideally, a 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 applying for or obtaining government/industry research funding. Self-motivated for innovative teaching with knowledge of relevant learning and teaching practice developments. Highly developed communication and interpersonal skills, enabling effective interaction internally and externally. Fluency in English. Strong teamwork spirit. More Senior Ranks are Expected Also to Show Currently supervising or previously supervised PhD students to completion. A significant record of high-quality academic publications. Several successful external research grant awards. Research impact and industry collaboration experience. Desirable Qualifications/Experience for all Ranks A record of academic publications in excellent international journals. Experience in PhD supervision. A successful record of research funding acquisition. Professional memberships such as BCS, IET, ACM, IEE and HEA. Knowledge/experience in international higher education. Research Funding Support The university provides every new faculty members a Research Development Fund to encourage them to initiate research projects and a Research Engagement Fund to support their continuous research activities. The university will also support all faculty members applying for national, province and city-level programmes. These programmes aim to support excellent Chinese and non-Chinese citizen scientists working and conducting research in China. Successful applications will be based on the applicant’s educational background, academic/research field, research achievements, working experience, etc. The university will provide full support for the applications.  Talent/Research Programme - Funding  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 Outstanding Youth Science Foundation Project (Overseas) - RMB 1-3 Million Compensation and Benefits SALARY: Competitive salary commensurate with experience. BENEFITS:  1. Allowance: XJTLU provide various month/annual/one-off allowances as Housing allowance Travel allowance Education allowance Relocation allowance 2. Medical insurance: commercial insurance plans customised for XJTLU staff and family members. (details refer to the University Policy) 3. Paid holidays: Statutory Holidays (13 days) Full Paid Holidays (34 days per academic year including university close days and annual leave) Family Matters Leave Paid Sick Leave Marriage Leave Paternity/Maternity Leave Parental Leave 4. Working visa and residence permit in China: XJTLU sponsors working visas and residence permits in China for the staff. HOW TO APPLY Please submit your applications online https://career15.sapsf.cn/sfcareer/jobreqcareer?jobId=1781&company=xjtlu Applications must be submitted in a single PDF file that includes 3 parts in the following order: A cover letter specifying your suitability for the role A current CV, including date of birth, country of citizenship, and highest degree level Contact details for three references (at least a reference from current or most recent employer. Preferably current employer *and* last employer) For informal inquiries, please contact the Human Resources Office. Email: Mingyu.Yuan@xjtlu.edu.cn  Applications should be received by the closing date stated above