Deskripsi Pekerjaan
Are you a visionary researcher looking to push the boundaries of industrial intelligence? The Agency for Science, Technology and Research (A*STAR) is seeking a Senior Scientist to join the Advanced Remanufacturing and Technology Centre (ARTC). In this pivotal role, you will be at the forefront of the Digital Manufacturing and Supply Chain (DMD/SVS) division, driving the development of next-generation AI-powered planning solutions.
You will lead high-impact research projects that bridge the gap between theoretical AI models and real-world industrial applications. Working alongside a multidisciplinary team of world-class scientists and industry partners, you will design architectures that optimize complex manufacturing processes, enhance supply chain resilience, and accelerate the transition toward Industry 4.0. If you are passionate about applied research, algorithmic optimization, and mentoring junior talent in a cutting-edge environment, we invite you to shape the future of Singapore’s manufacturing landscape.
Tanggung Jawab
- Spearhead the design and development of AI-driven optimization algorithms for manufacturing and supply chain planning.
- Lead large-scale research projects from conceptualization to industrial pilot implementation.
- Collaborate with cross-functional teams to integrate machine learning frameworks into existing manufacturing ecosystems.
- Mentor junior scientists and engineers, fostering a culture of technical excellence and innovation.
- Engage with industry partners to translate research outcomes into scalable, commercialized technology solutions.
- Publish high-impact research papers and represent A*STAR at international technical conferences.
- Oversee the deployment of advanced analytics dashboards and decision-support systems.
Kualifikasi
- PhD in Computer Science, Operations Research, Industrial Engineering, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry experience in AI, predictive analytics, or manufacturing optimization.
- Expertise in mathematical modeling, metaheuristics, and reinforcement learning techniques.
- Proficiency in Python, C++, or Java, with experience in deploying production-grade AI systems.
- Strong track record of research publications or successful implementation of industrial AI projects.
- Excellent communication and stakeholder management skills, with the ability to articulate complex technical concepts to non-technical partners.
- Proven leadership experience in managing diverse research teams.