Addis Ababa University

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. The Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime industry in Singapore and globally. Within this programme, Work Package WP2.2 focuses on research in several key areas: design Failure Modes, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels. The primary responsibility of this role is to contribute to research in design FMECA, functional FMECA, and ship sensing, as part of the WP2.2 research team within the FSSD programme. Key Responsibilities Work closely with the Principal Investigator (PI), Co-PI, and research team members to manage and execute the project, ensuring that all deliverables are successfully achieved. Key responsibilities in this project include: Developing an FMECA analysis solution that integrates condition monitoring data to update actual failure modes, effects, and severity assessments. Designing and conducting experiments to simulate various ship fault conditions, implementing sensing for data collection, and developing an equipment health monitoring system. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. The Research staff is to liaise with all relevant internal and external stakeholders to ensure project deliverables are met. Any other adhoc duties as assigned by Supervisor. Job Requirements Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Have relevant knowledge in the areas of shipboard system design, FMECA and reliability analysis. Have a degree in Electrical Engineering/Mechanical engineering or equivalent. Knowledge of sensing, FMECA, equipment health management and programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in FMECA and equipment health management will be advantageous. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Major Challenges Integrating Multidisciplinary Knowledge The role requires expertise across multiple domains—FMECA, sensing technologies, data fusion, data analytics, and machine learning. Combining these diverse skill sets to develop a unified and reliable solution can be technically demanding. Complexity of Ship Systems Ship systems are large-scale, interconnected, and subject to complex operating conditions. Accurately modelling failure modes, effects, and criticality requires deep domain knowledge and careful analysis. Collecting High-Quality Sensor Data. Simulating Realistic Fault Conditions. Developing Reliable Fault Prediction Models. Ensuring System Integration and Practical Deployment Meeting Project Milestones and Deliverables

Advertisement bullet points (75 Characters) Newly created executive role shaping and elevating Natural Sciences Build strategic partnerships that grow research, funding and influence Inspire a respected team of scientists, curators and collection experts Advertisement overview (150 Characters) Lead Queensland Museum’s Natural Sciences portfolio, advancing research, collections, partnerships and scientific impact nationally and globally. The organisation Queensland Museum (QM) is a vibrant and inclusive cultural institution at the heart of Queensland’s storytelling. With five distinctive sites across the state, QM welcomes millions of visitors annually, delivering immersive exhibitions, pioneering research, and transformative educational experiences. As a leader in cultural heritage and scientific discovery, QM connects communities, inspires curiosity, and celebrates the rich diversity of Queensland’s people and places. Queensland Museum is entering a transformative new chapter with a renewed strategic focus on research, collections, impact and growth. Central to this vision is the elevation of the Natural Sciences portfolio and the important role it plays in positioning Queensland Museum as a globally relevant scientific and research institution. The Natural Sciences portfolio oversees one of Australia’s most significant natural history collections, comprising more than 14 million specimens spanning marine and terrestrial biodiversity, geosciences and palaeontology. These collections underpin critical research informing biodiversity conservation, environmental management, biosecurity and climate resilience. The opportunity Reporting to the CEO and contributing as a key member of the Executive Leadership Team, the Executive Director, Natural Sciences will lead a multidisciplinary portfolio of scientists, curators and collection specialists across Brisbane, Hendra and Townsville. This newly created executive role will set the strategic direction for Queensland Museum’s Natural Sciences research agenda, ensuring the organisation continues to strengthen its research profile, scientific partnerships and public impact. The Executive Director will work closely with government, universities, funding bodies, industry and philanthropy partners to grow research capability, increase access to the collections as critical research infrastructure, and secure sustainable funding opportunities. The role will also oversee the stewardship and development of Queensland Museum’s internationally significant collections and lead the ongoing evolution of the Collections and Research Centre at Hendra. Working collaboratively across the organisation, the Executive Director will help translate complex scientific knowledge into meaningful public outcomes through exhibitions, partnerships, programs and engagement initiatives. About you You are an accomplished executive leader with deep experience across scientific research, collections management, academia, museums or related sectors. You bring both scientific credibility and strategic leadership capability, with the ability to set a contemporary research agenda that responds to emerging environmental, scientific and community priorities. You understand the evolving research landscape and can identify opportunities to strengthen impact, relevance and innovation across a complex portfolio. You are highly skilled at building strategic partnerships and working collaboratively with government, universities, industry and funding bodies to secure investment, grow capability and strengthen influence. Commercially astute and politically savvy, you are confident navigating complex stakeholder environments and translating scientific knowledge into accessible and compelling narratives for diverse audiences. Most importantly, you are an authentic and collaborative people leader who can inspire high-performing teams across multiple locations and disciplines. You bring a future-focused mindset, balancing stewardship of world-class collections with innovation, succession planning and organisational growth. You are motivated by the opportunity to elevate Queensland Museum’s Natural Sciences profile and contribute meaningfully to scientific knowledge, biodiversity research and environmental resilience. How to Apply This is a rare opportunity to shape the future of a nationally significant scientific portfolio and contribute to a new era for Queensland Museum. For a confidential discussion or role related questions, please contact Phil Graham, Jess Lewy or Lisa Gleichmann of The Orchard Talent Group at QLDmuseum@orchardtalent.com.au. To apply please submit your current CV and a cover letter. Applications close 21 June 2026

School - School of Computer science and Engineering  Experience - 4 years - 8 years  Assistant Professor /Associate Professor Location - Bangalore Key Responsibilities Deliver high-quality teaching at undergraduate and postgraduate levels in CSE. Supervise student projects, internships, and dissertations. Undertake independent and collaborative research leading to high-impact publications. Develop funded research/consultancy projects in collaboration with industry and government agencies. Mentor students in academic, research, and career development activities. Contribute to curriculum design, academic planning, and continuous improvement initiatives. Engage in departmental/University committees and professional activities.  Eligibility & Qualifications Ph.D. in Computer Science & Engineering (mandatory for Associate Professor/Professor positions).  First-class M.Tech in CSE (mandatory for Assistant Professor). Demonstrated teaching/research experience at a recognized institution. Strong research record with publications in reputed journals/conferences (SCI/Scopus indexed preferred). Ability to attract external funding and build collaborations with academia/industry. Excellent communication  Please Note - Immediate Joiners / 30 days' Notice period candidates most preferable .