Lead a team of junior researchers to explore and develop new or improved analytical techniques through both organic and collaborative R&D efforts
Develop POCs to demonstrate viability of DA/AI technologies for our different businesses
Demonstrate research efficacy by publishing conference papers, journal articles and other means of asserting IP ownership
Work with our Group Engineering Centre and lines of businesses to translate research outcomes into commercially viable products or services
Requirements:
Master's or PhD in Science/Engineering/Mathematics with at least 4 to 6 years of working experience in data analytics
In-depth technical knowledge and experience in any of the following:
Federated Learning
Efficient Edge Analytics
Interpretable/Explainable/Trusted AI
Anomaly Detection
Forecasting
Computational Fluid Dynamics
Digital Twins
Computational Intelligence
Operations Research
Deep Learning
Social & Cognitive Computing
Knowledge Representation
Agent-based Simulation
Computer Vision
Behavioural Modelling
Good experience with end-to-end analytics process – ideation/value elicitation, data profiling, analytical modelling, testing, validation, visualization, and solutioning
Strong problem solving skills and passion for artificial intelligence and data science research
Experienced in SQL (any flavour), Python, R, Matlab, Java, C++/ C
Experienced in preparing research papers using standard document preparation tools such as Microsoft Word or Latex
Familiar with distributed computing, modelling & simulation, optimization, and visualization tools
Excellent coordination and time management skills to handle complex projects
Willing and enthusiastic about continuous learning