University of Edinburgh

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

Associate Professor / Professor – Mathematics & Data Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech), based in Chicago, is a private, Ph.D.-granting research university with world-renowned programs in architecture, engineering, computing, the sciences, humanities and social sciences, psychology, business, law, and design. Illinois Tech is ranked #1 in Illinois and #23 nationally in The Wall Street Journal’s “America’s Best Colleges 2024.” Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The College of Computing at the Mumbai campus will offer the following degree programs: Bachelor’s in Computer Science Master’s in Computer Science Bachelor’s in Artificial Intelligence Master’s in Artificial Intelligence Master’s in Data Science To support these programs, Illinois Tech invites applications for Associate Professor and Professor level teaching-track faculty positions in Mathematics and Data Science. Position Summary Illinois Institute of Technology seeks experienced and accomplished educators for Associate Professor and Professor teaching-track positions in Mathematics and Data Science at its Mumbai campus.These positions are intended for candidates with significant teaching experience and expertise in mathematical and statistical foundations relevant to data science, artificial intelligence, and computing disciplines. Faculty members will contribute to delivering high-quality instruction, mentoring students, and helping shape the academic direction of Illinois Tech’s programs in Mumbai. Courses will be delivered in person in Mumbai, India, and online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses related to Mathematics, Statistics, and Data Science Deliver foundational and advanced courses such as: Calculus Discrete Mathematics Probability and Statistics Regression Analysis Time Series Analysis Bayesian Statistics Mathematical Foundations of Machine Learning Contribute to curriculum development and course design for data science and computing programs Mentor and advise undergraduate and graduate students Participate in departmental leadership, academic service, and program development Support interdisciplinary collaboration within the College of Computing Qualifications Applicants must have: A Ph.D. in Mathematics, Statistics, Data Science, or a closely related field Significant teaching experience at the university level Demonstrated expertise in mathematics and statistical methods relevant to data science Evidence of academic leadership, curriculum development, or program building (particularly for Professor-level candidates) Strong communication and student mentoring skills Preferred qualifications include: Experience teaching statistics and mathematics courses for data science, AI, or computing programs Experience with machine learning or computational statistics Prior experience teaching graduate-level courses Application Requirements Applicants must submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement detailing teaching experience, teaching philosophy, and teaching interests Names and contact information for three or more professional reference If you are unable to upload the documents , please share your application pack at careers@daskalos.com

Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. We have an exciting opportunity for a full-time academic post in Design and Illustration to join us at the Liverpool School of Art and Creative Industries as part of the team delivering the Graphic Design & Illustration BA Hons programme. The post requires you to undertake significant creative practice and scholarship as you contribute to the organisation, delivery and assessment of the BA programme and the wider academic life of the School, Faculty and University. The school is looking for a creative practitioner with a strong understanding of both the historic context of Design and Illustration practice and its contemporary landscape, particularly exploring non-western voices and the decolonisation of the subject. You will be expected to engage, inform and inspire students in the development of their skills and understanding of their individual studio practice and particularly how it is underpinned by research and reflection, with a particular focus on critical academic writing and assessment. The BA Graphic Design & Illustration programme at Liverpool John Moores University has been ranked in the top 10 Guardian and Complete University Guide University League Tables for art and design subjects, and the programme prides itself on developing authoritative creative practitioners with an understanding of the positioning and impact of their work on society and the environment. The programme promotes traditional, digital and experimental approaches to design and illustration and supports this through engagement with nationally and internationally renowned designers and illustrators. The city of Liverpool is a vibrant place for students to study and supports the course as a hub for research and opportunities for students to work with prominent organisations and publishers on live projects. Informal enquiries may be made to the Programme Leader, Andrew Hooper at a.hooper@ljmu.ac.uk In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. The School of Art and Design is currently under-represented with regards to staff from a Black, Asian, and other Minority Ethnic backgrounds and is actively promoting diversity in its workforce. We would like to encourage applicants from those communities who are currently under-represented within this field of work. We welcome applications from all eligible applicants. The appointment will be based on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.