As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to advance an industry-focused research project by developing and optimizing an LLM-based chatbot specifically designed for the hotel industry, delivering innovative solutions for guest interaction and data handling to meet industry standards and drive the organization’s technological edge.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop/produce/investigate obfuscation algorithms that will take advantage of quantum primitives. The techniques developed will aid in obfuscating quantum programs, quantum-classical hybrid programs and classical programs. Candidate should have good understanding of reverse engineering techniques, assembly language concepts and instructions and python programming. Candidate should have some understanding of quantum computing and cyber security. Prior experience in implementing quantum obfuscation techniques is an added advantage.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project where you will be part of the team to develop and/or test metaverse learning applications.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop software platforms for supporting multi-user AR/VR applications.

Generative models, particularly diffusion models, are becoming ubiquitous and important in a number of fields. However there are many kinds of bias encoded in such models – some due to the choice of training materials, some are regional, and some are inadvertent.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project where you will be part of the team to develop and/or test metaverse learning applications.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work. The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capita investment in science and technology.

The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT.

The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT.

The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an applied research project as a part of Infocomm Technology cluster at SIT. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims to overcome the issues raised by using real-world PII data.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop future-ready display technologies and demo applications for virtual reality, augmented reality and mixed reality.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. You will be working with a team of researchers in the Future Communications Translation Lab (FCTL), the primary responsibility of this role is to investigate, analyse, and enhance end-to-end security in the 5G testbed, support the development, testing and validation of 5G security use cases and applications, in collaboration with industry partners.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. You will be working with a team of researchers in the Future Communications Translation Lab (FCTLab), the primary responsibility of this role is to investigate, analyse, and enhance end-to-end security in the 5G testbed, support the development, testing and validation of 5G security use cases and applications, in collaboration with industry partners.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The SIT-NVIDIA Joint AI Center represents a collaborative effort between SIT and Nvidia to support AI integration within local businesses, utilizing cutting-edge AI technologies, including foundational and Generative AI models, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Computer Vision (CV), and more. SIT is currently on the lookout for 4 Research Fellows to contribute to the Joint Centre. This position offers the chance to partake in pioneering AI research as part of a partnership between academia and industry.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  SIT-NVIDIA Joint AI Center is a new initiative launched between SIT and Nvidia that aims to help local companies with AI transformation and adaptation by leveraging advanced AI technology such as the foundation and Generative AI models, LLM, RAG, NLP, CV, etc. SIT invites applications for the position of Research Engineer at the SIT-NVIDIA Joint AI Center. This role offers an exciting opportunity for individuals to engage in innovative AI research that connects academic insights with industrial applications. Ideal candidates will have a background in developing AI solutions and a proven track record in research and / or AI development experience.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop future-ready display technologies and demo applications for virtual reality, augmented reality and mixed reality.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project in the area of Brain Computer Interface funded by the Ministry of Education where you will be a key member of the research team to develop a Non-Invasive Closed-loop Brain Computer Interface for Decoding and Control of Motor Imagery Kinematics.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., data analytics and transfer learning) for battery management for rugged systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume to ZHANG Wei (wei.zhang@singaporetech.edu.sg) including a cover letter, CV and a brief statement of your work undertaken in previous work. The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to advance an industry-focused research project by developing and optimizing an LLM-based chatbot specifically designed for the hotel industry, delivering innovative solutions for guest interaction and data handling to meet industry standards and drive the organization’s technological edge.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop/produce/investigate obfuscation algorithms that will take advantage of quantum primitives. The techniques developed will aid in obfuscating quantum programs, quantum-classical hybrid programs and classical programs. Candidate should have good understanding of reverse engineering techniques, assembly language concepts and instructions and python programming. Candidate should have some understanding of quantum computing and cyber security. Prior experience in implementing quantum obfuscation techniques is an added advantage.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project where you will be part of the team to develop and/or test metaverse learning applications.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop software platforms for supporting multi-user AR/VR applications.

Generative models, particularly diffusion models, are becoming ubiquitous and important in a number of fields. However there are many kinds of bias encoded in such models – some due to the choice of training materials, some are regional, and some are inadvertent.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project where you will be part of the team to develop and/or test metaverse learning applications.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work. The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capita investment in science and technology.

The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT.

The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT.

The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an applied research project as a part of Infocomm Technology cluster at SIT. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims to overcome the issues raised by using real-world PII data.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop future-ready display technologies and demo applications for virtual reality, augmented reality and mixed reality.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. You will be working with a team of researchers in the Future Communications Translation Lab (FCTL), the primary responsibility of this role is to investigate, analyse, and enhance end-to-end security in the 5G testbed, support the development, testing and validation of 5G security use cases and applications, in collaboration with industry partners.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. You will be working with a team of researchers in the Future Communications Translation Lab (FCTLab), the primary responsibility of this role is to investigate, analyse, and enhance end-to-end security in the 5G testbed, support the development, testing and validation of 5G security use cases and applications, in collaboration with industry partners.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The SIT-NVIDIA Joint AI Center represents a collaborative effort between SIT and Nvidia to support AI integration within local businesses, utilizing cutting-edge AI technologies, including foundational and Generative AI models, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Computer Vision (CV), and more. SIT is currently on the lookout for 4 Research Fellows to contribute to the Joint Centre. This position offers the chance to partake in pioneering AI research as part of a partnership between academia and industry.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  SIT-NVIDIA Joint AI Center is a new initiative launched between SIT and Nvidia that aims to help local companies with AI transformation and adaptation by leveraging advanced AI technology such as the foundation and Generative AI models, LLM, RAG, NLP, CV, etc. SIT invites applications for the position of Research Engineer at the SIT-NVIDIA Joint AI Center. This role offers an exciting opportunity for individuals to engage in innovative AI research that connects academic insights with industrial applications. Ideal candidates will have a background in developing AI solutions and a proven track record in research and / or AI development experience.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop future-ready display technologies and demo applications for virtual reality, augmented reality and mixed reality.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project in the area of Brain Computer Interface funded by the Ministry of Education where you will be a key member of the research team to develop a Non-Invasive Closed-loop Brain Computer Interface for Decoding and Control of Motor Imagery Kinematics.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., data analytics and transfer learning) for battery management for rugged systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume to ZHANG Wei (wei.zhang@singaporetech.edu.sg) including a cover letter, CV and a brief statement of your work undertaken in previous work. The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology.