Postdoctoral Researcher; OCCL

100%, Singapore, fixed-term

The Singapore-ETH Centre was established in 2010 by ETH Zurich - The Swiss Federal Institute of Technology and Singapore’s National Research Foundation (NRF), as part of the NRF’s CREATE campus. As ETH Zurich's only research centre outside of Switzerland, the centre has strengthened the research capacity of ETH Zurich to develop sustainable solutions to global challenges in Switzerland, Singapore and the surrounding regions.

Set in Asia, in a rapidly urbanising region, the Singapore-ETH Centre aims to provide practical solutions to some of the most pressing challenges on urban sustainability, resilience and health through its programmes:
Future Cities Lab Global (FCL Global) and Future Health Technologies (FHT).

The centre serves as an intellectual hub for research, bringing together principal investigators and researchers from diverse disciplines and backgrounds. To promote the exchange of ideas and expertise, our researchers actively collaborate with universities and research institutes and engage with industry and government agencies to translate knowledge to practical solutions to real-world problems.

The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced through strategies such as reinforcement learning (RL) and innovative frameworks like the "graph of thoughts". We are firmly in the "Age of Computation", where breakthroughs in AI are synonymous with the ability to harness and optimize massive computational resources.

However, this rapid growth in computational demands comes with a critical challenge: energy limitations. Around the globe, new power plants are being constructed to meet the demands of AI workloads, underscoring the urgent need for efficiency to ensure these advancements benefit humanity sustainably. Especially in Singapore, such resources may be scarce and hinder the ability of the country’s researchers to advance in this most important field.

The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced through strategies such as reinforcement learning (RL) and innovative frameworks like the "graph of thoughts". We are firmly in the "Age of Computation", where breakthroughs in AI are synonymous with the ability to harness and optimize massive computational resources.

However, this rapid grow thin computational demands comes with a critical challenge: energy limitations. Around the globe, new power plants are being constructed to meet the demands of AI workloads, underscoring the urgent need for efficiency to ensure these advancements benefit humanity sustainably. Especially in Singapore, such resources may be scarce and hinder the ability of the country’s researchers to advance in this most important field.

Our collaborative efforts with the A
* STAR Institute of Advanced Intelligence and Computing (ASTAR IAIC) and other partners in Singapore, such as NTU, could be pivotal in this field, driving the development and implementation of innovative AI methods and saving millions of dollars in compute time while accelerating scientific productivity. To enhance the efficacy of AI for Science models, it is imperative to integrate simulations that encode prior scientific knowledge within these AI frameworks.

This integration is aimed at creating new models imbued with robust prior knowledge, such as simulated behaviors defined by fundamental equations and conservation laws. Our approach involves the close collaboration of experts from A
*…