Deskripsi Pekerjaan
Are you passionate about advancing the frontiers of Operations Research, Engineering Informatics, and Machine Learning? The National University of Singapore (NUS) invites applications for a dedicated Research Assistant to join our dynamic academic team. In this full-time role, you will play a pivotal part in driving innovation within our research laboratories. You will have the unique opportunity to work on complex, high-impact projects that bridge the gap between theoretical algorithms and real-world engineering applications. This position offers a stimulating environment where you can contribute to cutting-edge research while enhancing your technical expertise alongside leading experts in the field.
Tanggung Jawab
- Conduct in-depth data analysis and literature surveys to support ongoing research initiatives in Operations Research and Machine Learning.
- Develop, test, and validate machine learning models using state-of-the-art frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Collaborate closely with senior researchers and faculty members to define project scopes, methodologies, and experimental designs.
- Prepare technical documentation, research papers, and presentations for academic conferences and internal review meetings.
- Assist in the design and implementation of experimental setups for Engineering Informatics projects, including simulation and modeling tasks.
- Manage and preprocess large datasets to ensure high-quality input for analytical models and visualization tools.
- Participate in team meetings and contribute creative ideas to solve complex engineering problems.
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
- Strong programming skills in Python, R, or C++ with a proven track record of data manipulation and algorithm implementation.
- Familiarity with machine learning algorithms and deep learning architectures, specifically in the context of engineering applications.
- Background in Operations Research (OR) or Engineering Informatics (EID) is highly desirable.
- Excellent communication skills and the ability to work effectively in a collaborative, multidisciplinary team.
- Strong analytical thinking and the ability to work independently while meeting strict project deadlines.