Deskripsi Pekerjaan
Are you passionate about shaping the future of global logistics and airport operations? The Institute for Infocomm Research (I2R) at the Agency for Science, Technology and Research (A*STAR) is seeking a highly motivated (Senior) Scientist to join our Intelligent Transportation Solutions team. In this pivotal role, you will be at the forefront of digital transformation, leveraging cutting-edge Artificial Intelligence (AI) and data-driven insights to revolutionize airport operations management.
As a key member of our research division, you will collaborate with cross-functional teams to design, develop, and deploy intelligent algorithms that optimize resource allocation, enhance operational resilience, and improve passenger experiences. We are looking for an individual who thrives in a collaborative research environment and is eager to bridge the gap between theoretical AI research and real-world industrial applications.
If you are a visionary scientist driven by the desire to solve complex urban mobility challenges and contribute to Singapore’s reputation as a global logistics hub, we invite you to apply and make a significant impact on the future of transportation.
Tanggung Jawab
- Lead research and development initiatives focused on intelligent transportation systems and smart airport logistics.
- Develop and implement advanced AI, machine learning, and deep learning models to optimize operational efficiency.
- Collaborate with government agencies and industry partners to translate research prototypes into deployable solutions.
- Design simulation frameworks to test operational resilience under diverse stress-test scenarios.
- Author high-impact research papers and contribute to intellectual property development within the organization.
- Mentor junior research staff and foster a collaborative team environment.
- Analyze complex multi-modal data streams to provide actionable insights for decision-makers.
Kualifikasi
- PhD or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field.
- Proven research experience in AI, operations research, or intelligent transportation systems.
- Proficiency in programming languages such as Python, C++, or Java.
- Strong background in optimization algorithms, predictive analytics, or simulation modeling.
- Ability to demonstrate a history of publication in top-tier AI/Transportation journals or conferences.
- Excellent communication and interpersonal skills to engage with diverse stakeholders.
- Experience with cloud computing platforms and big data frameworks (e.g., Spark, Hadoop) is highly advantageous.