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About The Company
Founded in 1894, City, University of London is a distinguished global institution dedicated to academic excellence, with a particular focus on business and professional education. Located centrally in London, the university attracts a diverse student body of approximately 20,000 students, over 40% of whom are postgraduate students from more than 150 countries. Its faculty and staff also represent a wide international community from over 75 countries. Over the past decade, City has significantly expanded its research output, nearly tripling the number of academic staff engaged in world-leading or internationally excellent research activities. The university has invested heavily in its campus, infrastructure, and academic resources to support its vision of becoming a leading global university. The culture at City is rooted in its core values: “We care, We learn, We act,” which guide its commitment to fostering an inclusive, innovative, and collaborative environment.
About The Role
We are seeking to appoint a Software Engineer (SE) on a full-time basis for an initial period of four months, with the possibility of extension for an additional three months, subject to approval. This role is part of an innovative UK/Singapore project funded by InnovateUK, titled Safety with Sensor AI and Network Environments for the Construction Industry (Saine-CI). Led by Dr. Tillman Weyde in collaboration with AITIS Ltd and Iknaia Ltd, the project aims to develop AI-driven construction safety systems utilizing knowledge graphs in conjunction with machine learning models applied to camera and sensor data. The successful candidate will be responsible for designing, developing, and evaluating methods for knowledge-based assessment of machine learning applications on video, audio, and other data collected from construction sites. The role involves working with knowledge representations in OWL and RDF, as well as testing and deploying these systems in live environments to improve safety and operational efficiency.
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Qualifications
- A Master's degree or PhD in Computer Science or a closely related field
- Proficiency in programming with Python
- Experience with Semantic Web technologies such as OWL and RDF
- Knowledge of logic and knowledge representation techniques
- Strong interest or passion for developing AI and knowledge-based technologies
- Experience working with sensor data, video, and audio analysis is desirable
- Ability to work independently and collaboratively in a multidisciplinary team
Responsibilities
- Design and implement algorithms for knowledge-based evaluation of machine learning models applied to construction site data
- Develop and manage knowledge representations using OWL and RDF frameworks
- Evaluate AI systems in live construction environments to ensure safety and effectiveness
- Collaborate with project partners to integrate AI solutions with sensor and camera data streams
- Conduct research and experimentation to improve knowledge graph applications in real-world scenarios
- Document technical processes and contribute to project reports and publications
- Stay updated with advancements in AI, Semantic Web, and sensor technology fields
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Benefits
- Competitive sector-leading salary
- Comprehensive pension scheme
- Access to extensive staff training and development programs
- Opportunity to work on cutting-edge AI and construction safety projects
- Collaborative and inclusive working environment
- Central London location with excellent transport links
Equal Opportunity
City, University of London is committed to promoting equality, diversity, and inclusion across all its activities and communities. We welcome applications from individuals of all backgrounds regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation, and socio-economic background. The university operates a guaranteed interview scheme for disabled applicants to support inclusive hiring practices.
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