The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Research Associate.

Key Responsibilities:

• Advance our Metaverse driven Bigdata fusion platforms development efforts by working closely with other Bigdata Data, Analytics and Automation professionals and Advanced AI experts to understand complex business problems and co-create digital solutions driven by data science models
• See your AI and ML algorithms and solutions get scaled and deployed, while learning from your mistakes
• Identify better data science approaches and methods to innovate across the Smartgrids, Smartfactroies through team challenges, to collaborations with external industry disruptors
• Ask and answer questions in large datasets and have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
• Collaborate in cross functional teams to co-create solutions to business problems, bringing a combination of data science expertise with business acumen to drive pragmatic, business driven value
• Keeping abreast of latest developments in the field and identifies opportunities to apply within our organization

Job Requirements:

• Masters in Computer Science, or Electrical Engineering from a reputable institute
• Have 3 to 4 years of experience with a research orientation, Advanced Artificial Intelligence and deep problem-solving capabilities
• A solid understanding of Machine Learning concepts and Statistical Algorithms
• Experience in building FFT models shall be a great advantage
• Experience in developing ML models like Auto-encoders, Random Forest, SVM etc
• Have a good hands-on experience on Python Programming, Pandas, Numpy, Matplotlib, TensorFlow, Keras and other AI Libraries
• Must have a hands-on experience on OpenCV, TensorFlow, Kuda, CNN models
• Experience in deploying AI Models to Production
• Experience in understanding business needs and translating to a data-science problem
• Able to generate new ideas and to effectively communicate about these ideas
• Passion for cutting edge Artificial Intelligence/machine learning technologies.
• Knowledge of Cluster Analysis, Classification Trees, Discriminate Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis and SNA
• Experience of Regression, Multi-criteria Decision Making, Markov Process, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
• Excellent problem solving and Communication skills
• Passion for R&D and technical excellence, self-motivated, strong problem analysis and solving skills.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU