Kwassui Women's University

At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence. In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses.  The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Applied Research Fellowship aims to provide doctoral candidates who are about to complete or have recently completed their studies an opportunity to engage in advanced training and/or research at an overseas university for one year.  Besides financial support, awardees will also receive academic mentorship.  Upon completion of the Fellowship, awardees will be considered for Assistant Professorship. Eligibility and Selection Criteria Singapore citizen  Doctoral candidates who have recently completed or are about to complete their studies in a discipline under the supported areas for START below  Excellent academic record plus a high degree of proficiency and motivation for selected research area  Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area that is aligned with SIT’s supported areas  A keen interest in an academic career Value of Fellowship The Fellowship provides  Monthly stipend  Overseas maintenance allowance  Return economy airfare  Conference and fieldwork grants  Overseas medical insurance  Fellows will also each be assigned a SIT faculty mentor throughout their post-doctoral training and have opportunities to participate in faculty development programmes.  The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below. Applications received before 15 January 2026 will be considered for the 2026 intake.   Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.   Final Interview by the Panel for shortlisted applicants for the 2026 intake will commence in Mid-March to End April 2026.   Awards will be finalised by July 2026. Supported Areas for START - Business, Communication and Design  Financial and Sustainability Accounting: The measurement, reporting, and analysis of an organisation's financial performance alongside its environmental, social, and governance (ESG) and carbon footprint. Integrating traditional financial accounting principles with sustainability considerations to provide stakeholders with a more comprehensive view of a company's long-term value creation. Meetings, Incentives, Conferences and Exhibitions (MICE): The planning, management, and execution of business events, corporate gatherings, and large-scale conferences. This field is a key segment of the tourism and hospitality industry, requiring expertise in event management, business tourism, marketing, logistics, and stakeholder engagement.

Job No.: 688022 Location: Clayton campus Employment Type: Full-time  Duration: Continuing appointment Remuneration: $114,951 - $136,505 pa Level B (plus 17% employer superannuation) / $140,812 - $162,366 pa Level C (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity Exciting Opportunity at Monash University: Lecturer/Senior Lecturer in Electrical and Computer Systems Engineering The Faculty of Engineering is seeking a motivated and skilled academic to join our Department of Electrical and Computer Systems Engineering (ECSE) at the Lecturer or Senior Lecturer level. This is a chance to contribute to cutting-edge education, research, and professional activities shaping the future of technology. In this role, you will make significant contributions to teaching, engage with students, and collaborate with colleagues in delivering innovative courses. Your work will complement our strengths in wireless communications & RF identification, intelligent robotics, biomedical engineering and power electronics & energy., underpinned by expertise in electronics, RF, sensors, energy systems, and computing devices—driving real-world applications that fuel innovation. You will also lead transformative research, contributing to global challenges through impactful work and collaboration. What We Are Looking For: Expertise in Electrical and Computer Systems Engineering, especially in wireless communications technology, and biomedical engineering. Passion for teaching and inspiring students in a dynamic environment. Experience integrating AI techniques to enhance and drive innovation. A commitment to high-impact research that influences technology and industry. Strong leadership and collaborative skills. Ready to shape the future of engineering? Apply today and be part of a team that’s transforming education and research at Monash University. About Monash University At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We make tangible contributions because our purpose is clear; to deliver positive economic, social and environmental impact in resolving the global challenges of our age. At the core of achieving this purpose is the diversity of our staff. We welcome and value everyone's contributions, lived experience and expertise. When you come to work, you can be yourself, be a change-maker and develop your career in exciting ways. This is why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.  Learn more about Monash. Be part of our story. Work with us to #ChangeIt. Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments.  To Apply Level B - Lecturer: Please submit the following: Resume 1-page Research Summary outlining your mission Cover letter addressing your experience in the 3 following areas: Demonstrated skills in statistical analysis and manuscript preparation, with a track record of refereed research publications Strong teaching experience in a tertiary environment Commitment and passion for engaging in scholarly and research activities Level C - Senior Lecturer: Please submit the following: Resume 1-page Research Summary outlining your mission Cover letter addressing your experience in the 4 following areas: Publication record in high-quality refereed journals, conferences, or equivalent textbooks/teaching resources Ability to lead outstanding research and manage a research team and projects Proven success in securing significant external research grants Strong teaching experience, including course coordination, in a tertiary environment For instructions on how to apply, please refer to 'How to apply for Monash Jobs'.  Diversity is one of our greatest strengths at Monash. As proud recipients of the SAGE Athena Swan Silver accreditation, we are recognised sector leaders in gender equity, diversity and inclusion, with the organisational maturity and systems in place to support our staff to thrive. We also provide comprehensive support for parents and caregivers at all life stages. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. As part of our commitment to improving gender diversity in our faculty, we also encourage applications from women and gender-diverse candidates.  Research shows that women and underrepresented groups are often more hesitant to apply unless they meet all the requirements. If you believe you can bring the core capabilities, values and passion to this role, we encourage you to apply diverse perspectives and experiences to make our team stronger.  We are proud  to foster an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu  in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor, Yan Tat Wong, Head Electrical and Computer Systems Engineering, yan.wong@monash.edu Position Description:  Lecturer Senior Lecturer Applications Close: Monday 9 February 2026, 11:55pm AEDT

Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore the core principles behind generative models, including advanced transformer architectures, diffusion models, and autoregressive techniques, as well as their applications in natural language processing, computer vision, and beyond. The course emphasizes hands-on learning, enabling students to understand and implement state-of-the-art methods while critically evaluating their ethical implications and limitations. Responsibilities include: Delivering high-quality instruction in Generative AI, Foundation Models, and related AI techniques. Developing and maintaining course content, exercises, and hands-on projects aligned with the latest research and industry practices. Fostering an interactive, student-centered learning environment that emphasizes experimentation, problem-solving, and critical evaluation. Mentoring and advising students in course projects and applied AI research. Collaborating with colleagues to integrate ethical and methodological perspectives into AI curricula. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Demonstrated expertise in Generative AI, Foundation Models, or related areas of machine learning. Experience with modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) and practical implementation of generative models. Strong commitment to teaching excellence and fostering student engagement. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI