About the role
Research Assistant (Computer Science/ Electrical Engineering) is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.
CompanyOnsite
Key Responsibilities
- Conduct literature review and problem scoping on battery recycling, including process routes such as hydrometallurgy, pyrometallurgy, and direct recycling.
- Build datasets from experiments, sensors, and public sources, and then perform data cleaning, labeling, and feature engineering for battery recycling tasks.
- Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions.
- Develop optimization and control methods for recycling resource management, such as reagent usage, temperature profiles, scheduling, and throughput, under safety and quality constraints.
- Support experimental coordination and analysis, including interpretation of characterization and assay results (as applicable), and then translate findings into model inputs and evaluation.
- Prepare technical reports, documentation, and research manuscripts, and also contribute to project presentations and meeting updates.
- Collaborate with the PI and team members, and coordinate with external partners when needed, to ensure milestones and deliverables are met.
Requirements
- Bachelor qualification degree in Computer Science, Electrical Engineering, or related disciplines
- Strong research experience with a good track record of publications.
- Familiarity with machine learning and optimization, such as supervised learning, reinforcement learning, or constrained optimization.
- Good written and oral communication skills for preparing technical reports, presentations, and draft manuscripts.
- Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation.
- Competent in soft skills, such as problem scoping and analytical skills for experimental results interpretation.
- Interpersonal skill, such as good teamwork and collaboration skills to work closely with the PI, team members, and external partners.
- Entry level candidates are welcome to apply.
- We regret to inform that only shortlisted candidates will be notified.
- Hiring Institution: NTU