Career

We seek highly motivated scientists with talents and inclination to conduct cutting-edge research, develop and execute research strategies in Resilient and Sustainable AI.

Job Responsibilities:

• Build world-class capabilities and excellence in Resilient and Sustainable AI to be recognised by international research communities
• Work with AI scientists in A*STAR IHPC to develop resilient and sustainable AI algorithms and
  solve challenging real-world problems, and publish high-impact papers to advance science
• Execute programmes to ensure timely delivery of project milestones with high-quality
  outcomes

Requirements:

• PhD degree in Computer Science/Electrical & Electronics Engineering/Computer Engineering or equivalent
• Research experience in one or more areas of AI, such as Machine Learning, Computer Vision, and Natural Language Processing
• Strong track record of research in AI (e.g. 500+ citations from publications in related conferences like ICML, NeurIPS, ICLR, IJCAI, AAAI, KDD, ACL, EMNLP, CVPR, ICCV, or journals such as JMLR, AIJ, MLJ, IJCV, IEEE Transactions and ACM Transactions)
• Knowledge in one of the AI programming frameworks, e.g., PyTorch, TensorFlow, JAX;
• Strong problem solving and analytical skills
• Strong communication and presentation skills
• Best paper or equivalent awards in the top conferences or Winner of international

We seek an exceptional Computer Vision/Machine Learning Scientist to expand our dynamic and multi-disciplinary AI team.

Job Responsibilities:

• Background in Computer Vision and Machine learning to work on human action understanding using neurosymbolic AI approaches

Requirements:

• PhD degree in Computer Vision or Machine Learning (or related discipline) with a strong record of accomplishment in CVPR, ECCV, ICCV, NIPS, ICML, ICLR, AAAI, IJCAI or journal papers in IEEE TPAMI, IJCV, JMLR, Pattern Recognition, IEEE TIP and related. PhDs with a record of accomplishment of the above-mentioned are encouraged to apply
• Background in scene graph generation, action recognition, relational learning, inductive logic programming, causal learning, and neural symbolic integration is highly advantageous
• Strong programming skills in python (Pytorch, Tensorflow)
• Excellent computer vision and machine learning skills are required
• Excellent problem solving skills

We seek candidate to drive the development of AI models in the context of Scientific Machine Learning. The focus is on innovating ways to bring physics-based knowledge into the improvement and understanding of statistical learning for real-world problems.

Job Responsibilities:

• Development of AI/ML models for the modelling of multi-scale, multi-physics problems for purposes such as design and scientific discovery
• Development of foundational methodologies for incorporating knowledge such as fundamental laws of physics into AI/ML models. This can be incorporated in different ways, including for uncertainty quantification, enabling effective learning with less data and meta-modelling
• Working with domain experts (e.g. in fluid dynamics) to better understand problems and acquire context for the advancement of physics-informed learning
• Collaboration with other partners such as other research institutes, academic partners and other relevant stakeholders

Requirements:

• PhD in Computer Science, Engineering or other relevant disciplines
• Having some background in engineering (i.e., fluid dynamics), numerical methods (e.g. finite volume or finite element methods) and/or statistical learning (i.e., deep learning)
• Strong skills in multi-language programming (i.e., Python) and can work independently in modeling, algorithm design and coding implementation
• Experience in customizing open-source programs
• Good interpersonal and communications skills
• Ability to work effectively as part of a small, agile team, resourceful and self-driven
• Good command of written and spoken communication skill

The successful candidate will be expected to carry out the duties of this position with a dynamic and creative approach, in particular to:

Job Responsibilities:

• Publish impact scientific results of his or her research in top tier AI and machine learning domain, such as AAAI, IJCAI, NeurIPS, ICML, ICLR, KDD, CVPR, ACL etc. 
• Secure research grants to develop cutting-edge AI technologies and to train highly qualified personnel through research work
• Supervise undergraduate and graduate students
• Carry out innovative research projects
• Collaborate with other research teams within A*STAR and other universities
• Participate in professional, academic and societal service functions; and
• Contribute to the influence of A*STAR in Singapore and internationally

Requirements:

• Computer Science, Computer Engineering, Mathematics, and Data Science fields
• Hold a solid record of research accomplishment showing their potential to develop and lead an independent research program, allowing them to obtain research financing in order to support graduate students
• Contribute positively to the A*STAR’s research atmosphere and to adhere to its values of excellence, creativity, integrity, collaboration, respect and openness