We seek highly motivated scientists with talents and inclination to conduct cutting-edge research, develop and execute research strategies in Digital Health AI.
The Affective and Social Intelligence Group focuses on developing and applying new intelligent systems that are capable of recognizing emotions from multi-modal visual and non-visual (voice, language) cues. To attain to a new height of our research impact, we seek to pursue advanced research building next-generation machine intelligence incorporating socio-technical considerations including but not limited to empathy, value, goal and strategy. Our research is highly interdisciplinary, and we seek to establish leadership in the intersection area of Empathy AI, Affective Computing and Computational Social Science.The candidate will assume the responsibility as a lead researcher who shall contribute to the architecture and systems development, and lead in research activities including critical literature review, theoretical analyses, appropriation and evaluation of these systems in potential applications. The candidate will also have opportunities to work closely with the lead investigators, research scientists and engineers, collaborators and experts from the industry partners, to engage in both the basic research as well as translational research activities that bring the research outcomes into real-world impact.
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The Agency for Science, Technology and Research (A*STAR) has set up a new Social Sciences and Technology Horizontal Technology Programme. The Programme, to be hosted in the Institute of High Performance Computing (IHPC), will focus on integrating social scientific principles with other disciplines, leveraging on technology, and channeling efforts towards impactful, translational research.
Our key research domains include:
The Programme is seeking experienced candidates in the area of social sciences or socially-focused computational sciences with clear relevance to the above research domains. Selected candidates will be entrusted to define, lead and conduct innovative research, aimed at developing and deploying scientifically-informed solutions to societal issues. Successful candidates will have the opportunity to excel in a fast-paced environment through developing unique or unconventional capabilities that integrate knowledge in the social sciences with computational approaches.
Suitable candidates should meet the following criteria:
The following characteristics would be highly desirable in a candidate:
A*STAR is a catalyst, enabler and convenor of significant research initiatives among the research community in Singapore and beyond. Through open innovation, we collaborate with our partners in both the public and private sectors, and bring science and technology to benefit the economy and society.
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Positions Available: Research Fellows (postdoctoral) / Research Officers / Student Interns / Visiting Scientists
The lab focuses on developing AI / deep learning algorithms for semantic text analytics, including Q&A, dialogue system, multi-modal analytics (text-vision, text-table), human-robot interaction, online virtual assistant, distributed pre-training, and knowledge distillation, and for analytics of other documents, including PDF and CAD documents.
The job scope is to develop novel AI / deep learning in any of the afore-mentioned topics and to publish high-impact journal publications and patents.
Contact: Dr Jung-Jae Kim <firstname.lastname@example.org>
Work with our researchers and engineers to develop advanced natural language processing technologies, in collaboration with our industrial partners including Baidu and Singapore government organisations as well as local and international research organizations and universities. We are open to excellent intern students as well working on basic technologies and research which may lead to further Post Graduate studies and employments besides contributing the technology advancements and applications.
Year 4 undergraduates (engineer position), Master candidates (engineer position), PhD candidates (researcher position) graduating this year are welcome to apply. Internship would be open to undergraduate (year 3 / 4) or postgraduate students.
Contact: Dr. Su Jian < email@example.com>
Interested candidates are invited to send your resume or enquiries to Ms. LI Yue Li_Yue@i2r.a-star.edu.sg
Positions Available: Artificial Intelligence (AI) & Computer Vision research scientists and engineers / intern students / visiting scientists’ positions
MI focuses on developing cutting edge next generation AI/ deep learning algorithms for solving various problems ranging from NLP to 3D vision.
We particularly focus on Multi-modal deep learning along with mix of 2D-3D vision-based solutions for fundamental and industrial research. These technologies encompass various fields from Semiconductor industry to Robotics and Medical Imaging. 2D-3D machine vision generates huge amount of data and thus our focus is not only in accurate data analysis and model development but also efficient solutions for offline and real-time solutions. There is an unmet need for new methods especially AI/deep learning for 3D vision analysis and integration.
The job scope is to develop novel AI / deep learning to:
The expected deliverables are high-impact conferences, journal publications, patents and model deployment for industrial projects.
Contact: Dr Ramanpreet Singh <firstname.lastname@example.org>
Positions Available: Scientists, Engineers, Student Interns. Scholarships for Masters/PhD students are also available.
Our programmes span machine learning, deep learning and artificial intelligence R&D for healthcare applications. Projects interface one-of-a-kind clinical datasets with cutting edge deep learning/machine learning technologies and unique multidisciplinary collaborations. Our focus is to address critical technology gaps in harnessing the power of AI for transforming healthcare.
Specific research themes include multimodal data analytics on combinations of structured and unstructured healthcare data, predictive analytics on time series healthcare data, optimization methodologies for decision support, federated learning, unsupervised deep learning, domain knowledge integration for interpretable ML/DL, advanced methods for medical image processing, and overcoming barriers for translation or deployment of ML/DL solutions in practice.
All positions entail working in large multi-disciplinary machine learning and deep learning teams in close collaboration with clinical, academic and industry partners on projects that have the potential to transform patient-care and deliver improved health outcomes.
Candidates with backgrounds in mathematical optimization, deep learning, machine learning, Bayesian methodologies, statistical inference, natural language processing, computer vision, medical image processing, biomedical informatics, and data mining are welcome to apply.
Strong data science, visualization, and programming abilities required. Experience in corporate or application oriented research environments, and working experience with biomedical and healthcare datasets is a plus.
Contact: Dr Savitha Ramasamy <email@example.com>
Positions Available: PhD studies, Masters and final year project, Research internship for undergraduates, Research attachment for pre-university and polytechnic students
Broadly speaking, we are interested in the perception, control, learning and interaction for robot dexterity. We are constantly looking for passionate researchers and students to join us.
Many studentship opportunities below are available for full-time PhD studies with scholarship or stipends. You can get a flavour of the research from the Research and Publications sections of my website (www.yan-wu.com). But you are always welcome to propose your own research topic/project.
Contact: Dr Wu Yan <firstname.lastname@example.org>
Positions Available: Research Scientist (PhD) and Research Assistant (non-PhD)
We are a multi-disciplinary research group working on the analysis of bio-images, in particular but not restricted to, images and videos of, patient biopsy samples, OCT images and MRI/CT scans, life and fixed cells. We also work on time series, non-image data sets. Our work uses deep learning methodologies and computer vision for the improvement of healthcare.
In addition, to healthcare we are engaged in a wide area of AI applications, such as agriculture technology, health insurance etc.
Candidates are sought to:
** no prior experience in deep learning and data science is required, we will provide training to individuals aspiring to go into deep learning and artificial intelligence.
We welcome interested applicants to email a full CV and a one-page letter of intent summarising past experience and strengths as well as contact details of two referees to Dr Lee Hwee Kuan. For more information, please visit: http://web.bii.a-star.edu.sg/ ~leehk/
Contact: Dr Lee Hwee Kuan <email@example.com>
Positions Available: Research Scientist, Research Engineer, Student Internships, PhD Co-Supervision
The Human-centric AI programme aims to develop AI technologies that understand humans, work better with humans, and are more human-like – AI that can learn faster, with fewer examples and in ways that are understandable by humans. To achieve this, we combine expertise from the social and cognitive sciences with current AI methods.
Our work includes Visual Intelligence, Natural Language Understanding, Affective Cognition, Cognitive Systems and Robotics, and Knowledge Representation and Reasoning.
Full-time and internship positions are available from time to time in these areas.
Contact: Dr Kenneth Kwok <firstname.lastname@example.org>
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