FEDISA Fashion School

Department: School of Business Vacancy ID: 041923 Closing Date: 07-Jun-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. Funded by the Marine Institute, this project focuses on the Irish Maritime Industry roadmap to carbon neutrality by 2050. The concentration focus of the project is on implementation of compliance solutions for the industry, in consultation with stakeholders. The maritime industry makes a significant contribution to the Irish economy and as an island nation Ireland is quite dependent on this sector. Moving to ‘cleaner’ energy sources is challenging and involves the perspectives of different stakeholders including but not limited to ports, shipping companies, policy makers and technology providers. A particular issue of interest is in the role of digital-based solutions for green port initiatives, to achieve this objective. We are seeking an exceptional Research Assistant to join the project. The successful candidate will work as part of our Maritime Transport team in the Maynooth University School of Business, conducting research, carrying out administrative duties, and contributing to the department’s seminars and meetings. They will also help to seek additional sources of funding to ensure the longevity and sustainability of the project. This role is hands-on and interdisciplinary, requiring strong analytical, computational, and practical coding skills. The Research Assistant will play a key role in translating theoretical models into working software and supporting the continuous decarbonisation of the Irish Maritime Industry. Salary: Research Assistant: €33,792 p.a. (1 point - with increment) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 7th of June 2025. Please note all applications must be made via our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

School/Academy: School of Mathematics and Physics Department: Department of Applied Mathematics Position: Assistant Professor/Associate Professor/Senior Associate Professor/ Professor (depending on experience) Location: Suzhou, China Contract Type: Fixed-term, renewable. 3rd contract is open-ended Advertisement End Date: 31st August 2026 ABOUT XJTLU In 2006, Xi’an Jiaotong-Liverpool University (XJTLU) was founded by a partnership between the University of Liverpool, UK, and Xi’an Jiaotong University, 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 studying in both Suzhou and Liverpool in the UK. There are currently about 2,500 staff, including more than 1,300 academic staff from over 60 countries. XJTLU offers our undergraduates and postgraduates over 120 programmes with a diverse spectrum of courses. With a focus on innovative education 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 the same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from the West and the East. The year 2026 marks the 20th anniversary of XJTLU. As part of its strategic priorities for the coming decade, the university is entering a new and exciting phase of development. XJTLU continues to innovate in education models, and is now transitioning from a collection of distinct approaches toward a unified, integrated Academy model – a syntegrative ecosystem designed to break down silos, enhance agility, and solidify XJTLU’s position at the forefront of global education and research. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT THE DEPARTMENT OF APPLIED MATHEMATICS The Department of Applied Mathematics comprises academic staff with active research in analysis of differential equations, numerical analysis and scientific computing, control theory and optimization, operational research, machine learning, probability, and related applications. The Department delivers courses for three four-year undergraduate mathematics programmes and also provides service teaching for other programmes across the University. At the postgraduate level, it offers a Ph.D programme in Mathematical Sciences as well as a master’s programme in Applied Mathematics. POSITION OVERVIEW The Department invites applications for faculty appointments in Applied Mathematics at any level. Successful candidates will demonstrate the potential to develop an active and independent research programme, as well as a strong commitment to high-quality teaching at both undergraduate and postgraduate levels. Applicants from all areas of applied mathematics are encouraged to apply; however, preference will be given to those with research experience in fields with strong potential for external research grants and/or local industrial applications, such as mathematical/computational biology, inverse problems, and scientific machine learning, including statistical machine learning. RESPONSIBILITIES AND DUTIES Conduct independent and collaborative research leading to impactful publications and funded projects. Teach and design courses in mathematical sciences at both undergraduate and postgraduate levels. Supervise research projects of Ph.D, Master’s, and undergraduate students. Engage in interdisciplinary collaborations within the University and with external partners. Contribute to academic service and leadership at the departmental, faculty, and university levels. Typical workload balance research:teaching:service is 40:40:20 ESSENTIAL QUALIFICATIONS/EXPERIENCE: A Ph.D in mathematical sciences such as Mathematics, Applied Mathematics, and Statistics. Postdoctoral research experience for junior appointments. Proven record for scholarly research and publications in top-tier international venues. Demonstrated ability, or clear potential, to secure competitive external research funding. Clear potential for local industrial collaboration. Evidence of, or potential for, excellence in teaching and graduate supervision. Fluency in English. 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 Children’s 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) Full Paid Holidays (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 Please submit your application on our university website. Applications must be submitted in a single pdf file that includes 3 parts in the order of: 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) Contact details of three references (2 references for Research and 1 reference for Teaching)  For enquiries relating to the position, please email to HR at Mingwei.Sun@xjtlu.edu.cn. Please quote the position and Position ID 2945 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)