At a Glance
- Tasks: Design and develop AI-driven safety systems for the construction industry using knowledge graphs.
- Company: City, University of London - a global leader in academic excellence.
- Benefits: Competitive salary, pension scheme, and comprehensive training opportunities.
- Other info: Join a diverse community committed to equality and inclusion.
- Why this job: Make a real impact on construction safety with cutting-edge AI technology.
- Qualifications: Masters or PhD in Computer Science, Python programming, and knowledge of Semantic Web technologies.
The predicted salary is between 40000 - 50000 £ per year.
Founded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location. City attracts around 20,000 students (over 40% at postgraduate level), from more than 150 countries and staff from over 75 countries. In the last decade City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research. During this period City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realising its vision of being a leading global university. The culture at City is built on our shared core values, which means that all employees are expected to behave according to our values: “We care, We learn, We act.”
We seek to appoint a Software Engineer (SE) on a full-time basis for 4 months with an option to extend for 3 months (subject to approval). This role is part of a UK/Singapore project funded by InnovateUK: 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 task is to design, develop and evaluate AI driven construction safety systems, that use knowledge graphs in connection with machine learning models applied to camera and sensor data.
Responsibilities include the design, implementation and evaluation of methods for knowledge based evaluation of machine learning applied to video, audio and other data from construction sites. These methods involve knowledge representations in OWL and RDF, and practical application evaluation in live environments.
The candidate should have a Masters or PhD in Computer Science or a related subject. Programming skills in Python and experience with Semantic Web technologies as well as some knowledge of logic and knowledge representations are required. A combination of these skills as well as a passion for developing AI and knowledge based technology would be ideal.
City offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development. Closing date: 1st May 2024 at 11:59pm. City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors. We welcome applications 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. City operates a guaranteed interview scheme for disabled applicants.
ML Engineer: Knowledge Graphs for AI in Construction in London employer: City, University of London
City, University of London is an exceptional employer that fosters a culture of academic excellence and innovation, particularly in the field of AI and construction safety. With a commitment to employee growth through comprehensive training and development programmes, alongside a competitive salary and benefits package, City provides a supportive environment for staff to thrive. Located in the heart of London, employees benefit from a vibrant city life while contributing to impactful research that shapes the future of the industry.
Contact Details:
City, University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer: Knowledge Graphs for AI in Construction in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and knowledge graphs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to machine learning and construction safety systems. The more you rehearse, the more confident you'll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ML Engineer: Knowledge Graphs for AI in Construction in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of ML Engineer. Highlight your programming skills in Python and any experience with Semantic Web technologies. We want to see how your background fits perfectly with our project!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and knowledge-based technology, and explain why you're excited about working on construction safety systems. Let us know what makes you the perfect fit for this role.
Showcase Relevant Projects:If you've worked on projects involving machine learning or knowledge graphs, make sure to mention them! We love seeing practical applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into our hands quickly and efficiently. We can’t wait to hear from you!
How to prepare for a job interview at City, University of London
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, knowledge graphs, and the specific technologies mentioned in the job description. Familiarise yourself with OWL and RDF, as well as any relevant projects or research that City, University of London has been involved in.
✨Show Your Passion
During the interview, express your enthusiasm for AI and knowledge-based technology. Share examples of past projects or experiences that highlight your passion and how they relate to the role. This will help you stand out as a candidate who truly cares about the field.
✨Prepare for Technical Questions
Expect technical questions related to programming in Python and the application of machine learning in construction safety systems. Practice coding problems and be ready to discuss your thought process and problem-solving strategies during the interview.
✨Align with Their Values
City values 'We care, We learn, We act.' Think about how your personal values align with these and be prepared to discuss this in the interview. Showing that you resonate with their culture can make a positive impression.
