Xi’an Jiaotong University

Salary: £31,236- £34,610 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Business, Higher Education Job reference: REQ000550  Attachments: Enterprise Consultant - JDPS - May 26.pdf Job description University College Birmingham’s Business School offers a practical, employer-connected student experience, and the Enterprise Hub is a growing part of that offer. We are seeking an Enterprise Consultant to support entrepreneurial ambition across our student and graduate community.  The role  As Enterprise Consultant, you will lead the development and delivery of enterprise activity within the Business School, and beyond, working closely with students, graduates, academic colleagues and external partners. You will play a central role in shaping and delivering enterprise and incubation activity that is relevant, inclusive and responsive to a diverse student population. What you will be involved in  Promotion and management of our dedicated StartupSpace Designing and delivering engaging startup programmes covering private enterprise, social enterprise and freelance Providing one-to-one and group advice, support and mentoring Building external relationships with the enterprise community Promotion and management of PitchFest, our annual pitching competition Promotion and management of the Certificate of Entrepreneurship Contributing to wider knowledge exchange and business engagement across the Business School  Setting targets and measuring our progress Who we are looking for Experience of the higher education sector is helpful, but not essential. What matters most is your ability to connect enterprise activity to real people, real ambitions and real outcomes.  Standard Information UCB is an equal opportunities employer. We are TEF rated Silver, with a Good Ofsted rating.  UCB has achieved the Investors in Diversity Bronze Award You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.

We are seeking a Research Fellow to develop AI-enabled cloud analytics and BIM-based Digital Twin systems for real-time geometry monitoring and control in bridge and viaduct construction. Key Responsibilities Develop cloud-based pipelines to process robotic/ATS survey data Build AI/analytics models for alignment, deflection, and tolerance control Design real-time dashboards and alert systems Develop BIM-integrated Digital Twin for design vs. as-built comparison Implement DfC analytics and what-if simulations for construction decision-making Support project management, procurement of equipment/software, and coordination with stakeholders Prepare technical reports, publications, and project deliverablesp Support system deployment with industry partners and contribute to IP development Requirements PhD in Civil Engineering, Construction Management, or related field Strong skills in AI/ML, data analytics, or digital twin systems Experience with BIM (e.g., Revit/IFC) and data integration Programming experience (e.g., Python, cloud platforms) Ability to work independently and across interdisciplinary teams Experience in sensor data fusion, automation, or robotics in construction is a plus Familiarity with IDD, DfC, or digital twin applications is a plus

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