Total 78 information technology job vacancies in Education / Training category in D05 Clementi New Town, Hong Leong Garden, Pasir Panjang

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open in the research group of Dr. Gong Xiao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The project aims to explore advanced semiconductor electronic devices for future advanced integrated circuits and quantum technology.

Qualifications

1. Possess a Bachelor or Master Degree in Electrical Engineering with strong knowledge in semiconductor device technology and Si photonics.
2. Strong knowledge in semiconductor device physics. At least two years research experience in semiconductor technology.
3. Proficient in simulation software, such as Sentaurus, Spice, matlab, Lumerical, etc.
4. Possess relevant expertise proven through coursework and projects during his/her studies.
5. Excellent academic track record from well-recognized universities.
6. Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently.
7. Able to work well with the team and be independent. To be able to balance well between advancing his/her own research and contributing to the larger team’s success.
8. Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology.
9. Open to Fixed Term Contract

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open in the research group of Dr. Gong Xiao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The project aims to explore advanced semiconductor electronic devices for future advanced integrated circuits and quantum technology.

Qualifications

1. Possess a Bachelor/Master Degree in Electrical Engineering with strong knowledge in semiconductor device technology and Si photonics.
2. Strong knowledge in semiconductor device physics.
3. Proficient in simulation software, such as Sentaurus, Spice, matlab, etc.
4. Possess relevant expertise proven through coursework and projects during his/her studies.
5. Excellent academic track record from well-recognized universities and excellent course work with strong academic performance.
6. Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently.
7. Able to work well with the team and be independent. Be able to balance well between advancing his/her own research and contributing to the larger team’s success.
8. Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology.
9. Open to Fixed Term Contract

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 perform modelling and real-time simulation of electric vessel’s onboard microgrid and propulsion system.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to develop an onboard microgrid simulation model with energy management.
• Work with research team to deliver the work scope and undertake these responsibilities in the project.
• Work Responsibilities:
  1. Develop a detailed electrical model of the e-vessel microgrid (power system) based on the concept design in a simulation environment such as Matlab/Simulink.
  2. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints.
  3. Operate the simulated electrical model on a real-time system such as Typhoon power-in-loop and Opal-RT systems with physical real connections to the EMS controller to perform deterministic simulations for unit, sub-system and whole system verification and validation.
  4. Implement and carry out simulation studies for onboard microgrid and connection to shore charging infrastructure.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
• Mentor students involved in the research project
• For those hired at senior levels, management responsibilities may be included

Job Requirements

• Have a PhD’s degree or above in Electrical Engineering or equivalent from a recognized University. Major in Power Engineering will be advantageous.
• Minimum 3 year of relevant experience in modelling and energy management algorithm development using MATLAB/Simulink for microgrid applications.
• Knowledge on control is highly preferred.
• Have experience and commitment to supervising student projects and providing training.
• Self-motivated team player and good project management skills.
• Excellent writing, communication, and interpersonal skills.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

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 lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using DHI MIKE software. The role of the researcher is to contribute to the understanding of mangroves and seagrass on the environment which includes wave attenuation and sediment transportation.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  i. DHI Mike Modelling: Utilize DHI Mike software to develop and validate numerical models for wave propagation and hydrodynamic modelling and sediment transportation.
  ii. Model Validation: Validation of DHI Mike Model with past historical data
  iii. Data Analysis: Process and analyze coastal and ocean wave data to improve model accuracy.
  iv. Research: Conduct research to enhance wave and hydrodynamic modelling and investigate the effect of mangroves and seagrass on wave attenuation and sediment transportation
  v. Impact Assessment: Evaluating the potential impacts of mangroves and seagrass on coastal regions, coastal dynamics and sediment transportation.
  vi. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, marine scientists and experimentalists.
• Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI
• Any other duties assigned

Job Requirements

• PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics.
• Proficiency in wave modeling software, particularly DHI Mike Software.
• Strong analytical and problem-solving skills.
• Research experience in coastal and ocean waves is preferred.
• Excellent communication (verbal and written) and teamwork abilities
• Proficiency in machine learning will be an advantage

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

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 cloud-based vehicle-to-grid platform and integrate the smart optimization algorithms with a charging management software and develop necessary communication infrastructure to establish electric vehicle fleet management and grid services.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-I and the research team members to ensure all project deliverables are met.
• Lead the development of software solutions to facilitate energy exchange between electric vehicles and grid.
• Work closely with hardware team to ensure seamless integration of software solutions with vehicle-to-grid hardware components.
• Collaborate with the industry partners and IHLs to establish a cloud-based data management platform to integrate electric vehicle management modules.
• Publish research findings in reputable journals and present at conferences and workshops.
• Produce high-quality annual reports outlining research findings, software architecture, and user guides.
• Mentor and collaborate with graduate students and junior researchers, providing guidance and support in their research activities.
• Assist in writing grant proposals and securing funding for future research projects.
• Collaborate with industry partners and stakeholders to ensure the practical applicability and relevance of the research outcomes.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Ph.D. in Electrical Power Engineering, Computer Science or a related field, with a strong research focus on vehicle-to-grid technologies.
• Strong understanding of the electric vehicle sector and vehicle-to-grid technologies, standards, and protocols.
• Prior experience with cloud computing is advantageous.
• Experience in algorithm development, optimization, and data analysis in the context of electric vehicles.
• Proficiency in programming languages (e.g., Python, MATLAB, Java) and simulation tools commonly used in research.
• Strong analytical and problem-solving skills, with the ability to critically evaluate and interpret research data.
• Excellent written and verbal communication skills, with the ability to publish research findings and present at conferences.
• Proven track record of research publications in reputable journals and conferences

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work.

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 lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using DHI MIKE software. The role of the researcher is to contribute to the understanding of mangroves and seagrass on the environment which includes wave attenuation and sediment transportation.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  i. DHI Mike Modelling: Utilize DHI Mike software to develop and validate numerical models for wave propagation and hydrodynamic modelling and sediment transportation.
  ii. Model Validation: Validation of DHI Mike Model with past historical data
  iii. Data Analysis: Process and analyze coastal and ocean wave data to improve model accuracy.
  iv. Research: Conduct research to enhance wave and hydrodynamic modelling and investigate the effect of mangroves and seagrass on wave attenuation and sediment transportation
  v. Impact Assessment: Evaluating the potential impacts of mangroves and seagrass on coastal regions, coastal dynamics and sediment transportation.
  vi. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, marine scientists and experimentalists.
• Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI
• Any other duties assigned

Job Requirements

• PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics.
• Proficiency in wave modeling software, particularly DHI Mike Software.
• Strong analytical and problem-solving skills.
• Research experience in coastal and ocean waves is preferred.
• Excellent communication (verbal and written) and teamwork abilities
• Proficiency in machine learning will be an advantage

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

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 operation and planning method for onshore microgrid and charging infrastructure within the maritime electrification sector.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Develop planning optimization method for onshore microgrid and charging infrastructure
  2. Analyze and develop mathematical models for shore loads and charging demand profiles for electric fleets. This part of the work requires close collaboration with fleet owners based on their needs and operational requirements.
  3. Analyze charging impact on distribution networks and provide design optimization for charging operators and shore microgrid owners
  4. Assist supervising student helpers or final year project students participating in the project
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of microgrid/multi-energy Operation and planning, machine learning and data analysis in the field of power system applications.
• Have a degree in Electrical//Electronic Engineering or relevant fields. Possessing a Master’s or PhD degree will be advantageous.
• Proven track record of high quality journal papers published in the relevant field will be highly advantageous.
• Knowledge of optimisation algorithm development in the field of power systems will be advantageous.
• Familiarity with optimisation using Gurobi, Cplex and etc. is a must.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.The project is an industry facing one where frequent interactions and information exchanges are required with industry partners.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

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.

Key Responsibilities

1. Research Development and Implementation
• Assist in designing and executing AI research projects that meet both academic and industry standards.
• Develop, test, and optimize AI prototypes and simulation models using modern technology stacks.
• Adhere to SIT’s rigorous operational guidelines and ethical standards in all research activities.

2. Technical Support and Collaboration
• Provide robust technical support to the team, aiding in data analysis, software development, and system troubleshooting.
• Collaborate closely with engineers and researchers from NVIDIA and other industry partners to enhance AI model accuracy and utility.
• Contribute to technical documentation and project reports, ensuring thoroughness and accuracy.

3. Knowledge Dissemination and Training
• Help prepare materials for scholarly publications and presentations at academic and industry conferences.
• Facilitate the training of students and new team members on AI technologies and project protocols.

4. Project and Resource Management
• Assist in managing project timelines and resources, ensuring projects progress smoothly and efficiently.
• Identify potential technical challenges and participate in strategic planning sessions to address them effectively.

Job Requirements

• Bachelor’s or Master’s degree in computer science, data science, data analytics, AI, or related fields.
• Hands-on experience in machine learning, deep learning, or related AI methodologies, preferably with a focus on industrial applications.
• Proficiency in programming languages such as Python, and C++, and familiarity with AI frameworks like TensorFlow or PyTorch.

Key Competencies

• Experience with NVIDIA’s hardware and software ecosystems.
• Excellent problem-solving skills and a collaborative spirit.
• Strong communication skills, capable of conveying complex information clearly and engagingly.

Application Process

Candidates should submit a resume, cover letter detailing research achievements publication history, and references to the SIT career portal. Additional documents such as a research portfolio or evidence of previous project work may also be submitted.

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.

Key Responsibilities

1. Research Execution and Management
• Develop and lead AI projects that integrate modern technologies, aimed at industry-relevant applications.
• Ensure all research activities are compliant with SIT’s ethical standards and operational policies.

2. Collaboration and Networking
• Work closely with NVIDIA and SIT researchers to foster technological exchange and innovation.
• Build partnerships with industry stakeholders to align research projects with market needs and opportunities.
• Participate in networking events to enhance the visibility and impact of research outcomes.

3. Publication and Dissemination
• Produce high-quality research publications for academic conferences/journals and industry white papers.
• Present findings at international conferences, workshops, and industry forums.

4. Mentoring and Leadership
• Mentor graduate students and junior researchers, promoting skill development and professional growth.
• Lead by example in fostering a culture of academic excellence and integrity.

Job Requirements

• PhD in n Computer Science, Artificial Intelligence, Computer Vision, Natural Language Processing, or allied disciplines is required. Preference will be given to candidates with expertise in Large Language Models, as well as the fine-tuning and customization of AI models.
• Proven record of AI research and applications, as demonstrated by publications, patents, or software developments.
• Strong technical proficiency in AI modeling, computational tools, and programming languages relevant to AI research (e.g., Python, CUDA).

Key Competencies

• Experience working in collaborative environments, especially involving industry and academia.
• Demonstrated ability to manage complex projects and multidisciplinary teams.
• Strong communication skills, capable of engaging both technical and non-technical audiences.

Application Process

Applicants are required to submit a CV, cover letter, detailed research proposal, and references to the SIT recruitment portal. Please indicate your potential start date and include any relevant work samples or publications.

Tanglin Mission

Tanglin Trust School Singapore has a long tradition of providing British-based learning with an international perspective. At Tanglin we strive to make every individual feel valued, happy and successful. Responsibility, enthusiasm and participation are actively encouraged and integrity is prized. Working together in a safe, caring yet stimulating environment, we set high expectations whilst offering strong support, resulting in a community of lifelong learners who can contribute with confidence to our world.

Our Vision

We aspire to be the best school in the world with a dynamic learning community which nurtures and inspires every individual to be the best they can be. Our core values of Respect, Responsibility and Purpose are at the heart of everything we do across the school.

The Role

This is a rare and exciting opportunity to join a DT department within a well-established, outstanding school. Our vision is that the department will be modern and forward-thinking, with learning located in authentic contexts, and that the curriculum will reflect the successful candidate’s creative energy. He/she will have outstanding subject knowledge, a passion for designing and will be at the cutting edge of technological innovation within the field. The successful candidate will be a teacher with commitment, integrity and excellent communication skills and a teacher with flexibility, resilience and a caring approach towards students.

Key Responsibilities

1. Learning & Teaching

• Manage an effective, enthusiastic, and safe learning environment.
• Deliver the curriculum to assigned classes in accordance with the timetable.
• Differentiate lessons according to the abilities and learning needs of individual students.
• Promote independent learning by adopting teaching and learning strategies that develop the competence and confidence of every student.
• Seek to develop students’ attributes through the Tanglin Learner Profile, as well as seek opportunities to develop their own attributes through that framework.
• Ensure the thorough implementation of subject specifications, teaching schemes, assessment policies and reporting procedures.
• Create opportunities for students to develop confidence in the subject through carefully planned and managed activities.
• Support a departmental and whole school culture of innovation that includes varied and exciting teaching approaches, technological integration, and thoughtful evaluation.
• Possess the flexibility required to teach a range of materials, topics, and ability levels.
• Possess the flexibility required to teach either pathway (A level or IB) in the Sixth form.

2. Planning & Development

• Take responsibility for at least one aspect of D&T curriculum development each year following discussion and negotiation with the department leadership team (eg, creating a new scheme of work, drafting of departmental policy, organisation of trip).
• Assist the D&T department leadership team in evaluating and developing the new curriculum.
• Take advantage of opportunities for professional development offered by Tanglin.
• Take responsibility for their professional development and that of colleagues by occasionally leading departmental inset or department meetings in an area of expertise.
• Assist the HOD (Head of Department) in identifying areas for development in D&T within the broader aims of the school development plan.
• Collaborate with colleagues in the planning and delivery of schemes of work, including the choice of appropriate teaching and learning methods to meet the needs of the subject and of different pupils.
• Assist the HOD in adapting curriculum content and methods of teaching and examining as appropriate.
• Support a school culture of innovation that includes technological integration.
• Be supportive of and open to the frequent change that characterises a school such as Tanglin.

3. Management of Resources and the Teaching Environment:

• Assist the HOD in identifying appropriate resources within the limits of the departmental budget.
• Assist the HOD in ensuring that departmental rooms present stimulating environments that help to influence pupils’ attitudes positively towards D&T.

4. Assessment, Recording & Reporting

• Ensure students’ work is regularly assessed according to D&T departmental policy and that homework is in line with school policy.
• Report to parents in accordance with the school’s reporting policy as laid down in the Staff Handbook.
• To use information gained from assessment, recording and reporting procedures to generate further improvement in pupil achievement.
• Assist the HOD in the setting and marking of school examinations and to supervise entries for external examinations.

5. Pastoral and Co-Curricular

• Lead the development of the F1 in Schools program in D&T.
• Contribute to co-curricular activities that broaden pupils’ experiences and contribute to the general life of the school.
• When required, take on a form tutor role in the Senior School and fulfil the responsibilities of that position.
• Follow the School’s policies and procedures regarding discipline and behaviour, daily routines, duties, homework, leave of absence, and visits, as laid down in the Staff Handbook.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

6. Communication and Liaison

• Help to establish an ability to spot and solve problems and to increase resilience in learning, through your own enthusiasm for the subject.
• Contribute wholeheartedly to D&T department activities such as supporting each school with projects, planning ‘House Day’ activities, ‘Children’s University’ and transition days.
• Attend and contribute to meetings of a professional nature with HOD, HOF, HOY, SSLT and in other circumstances when requested.
• Liaise with the HOD and HOF in respect of pupil records, rewards, and sanctions.
• Maintain appropriate links with teaching colleagues in all sections of the school and foster cross-curricular links where appropriate.
• Liaise with members of the Learning Support Team regarding individual students who may have exceptional needs, to ensure that those needs are understood, planned for and met.
• Liaise with pastoral staff, including form tutors, Heads of Year, the Assistant Heads of School and the Head of Careers on matters pertaining to the study of D&T.
• Contribute to the strengthening of the parent-teacher partnership in individual and whole school initiatives as and when required.
• Assist the HOD in developing effective links with the wider community to extend the study of D&T and enhance teaching and learning.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) is offering a position for a postdoctoral fellow who will work closely with Dr. Wang Chi Cheung and Dr. Vincent Tan in online machine learning (reinforcement learning, multi-armed bandits).

This position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical engineering, computer science, or applied mathematics and a strong publication record in machine learning.

The candidate will work closely with Dr. Cheung Wang Chi Dr. Vincent Tan and will use the postdoctoral stint to develop a strong research profile that will enable him/her to find a good faculty position after the postdoctoral stint.

Salary will be extremely competitive and will be commensurate with the candidate abilities, potential, and track record.

If shortlisted, applicants should also arrange for at least two to three letters of reference to be sent to the same address.

Qualifications

• PhD in Electrical Engineering, Computer Science, or Applied Mathematics
• A strong publication record in machine learning
• Open to Fixed Term Contract

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in social sciences or related fields to join a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

One important goal of the project is to develop a rich taxonomy of activities that can be performed by human-AI teams. Like mapping the plants and animals on an unexplored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge bases that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into taxonomies that range from very general types of activities to very specific ones.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing descriptions of current or potential activities and processes based on techniques such as: interviews, surveys, field studies, ethnographic observations, and literature reviews.
• Making editorial decisions about what content to include in the knowledge base, how to present it clearly, and how to organize it in ways that are logical, comprehensive, widely understandable, intuitively appealing, and conceptually elegant.
• Using human-subject experiments and other social science methodologies (such as cluster analysis) to help improve the above activities as well as to inform and evaluate the development of software tools based on the knowledge bases being developed.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Job Requirements

• Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Management, Organizational Behavior, Philosophy, Journalism, Computer Science (e.g., with a focus on Human-Computer Interaction) with at least one year of research experience post-Ph.D.
• Excellent communication and collaboration skills.
• DESIRABLE:Strong publication record in top-tier conferences and journals.
  Familiarity with statistical data analysis tools and techniques

This role is primarily based in Singapore.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in computer science or related fields to join a project on “Designing human-AI teams,” which is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans, and how humans can take advantage of the increased usefulness of AI systems across many tasks.

We will start by combining techniques from computer science and the social sciences to create online taxonomies of tasks and design space maps of many ways humans and AI systems can work together. For example, we will experiment with using machine learning or other techniques to discover patterns in data such as process repositories.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing semi-formal descriptions of activities and processes that can be performed by people and/or AI systems.
• Developing database and user interface tools for online knowledge bases of these activities and processes.
• Develop software applications that use these online knowledge bases to, for example:suggest innovative ways of combining humans and AI to solve various kinds of problems.
  specify detailed workflows, task assignments, and software modules to do this.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Job Requirements

• PhD in Computer Science or Engineering (including Artificial Intelligence, Machine Learning, and Human-Computer Interaction) with at least one year of research experience post-Ph.D.
• Excellent communication and collaboration skills.
• DESIRABLE:Strong publication record in top-tier conferences and journals.
  Familiarity with statistical data analysis tools and techniques

This role is primarily based in Singapore.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in computer science or related fields to join a project on “Designing human-AI teams,” which is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans, and how humans can take advantage of the increased usefulness of AI systems across many tasks.

We will start by combining techniques from computer science and the social sciences to create online taxonomies of tasks and design space maps of many ways humans and AI systems can work together. For example, we will experiment with using machine learning or other techniques to discover patterns in data such as process repositories.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing semi-formal descriptions of activities and processes that can be performed by people and/or AI systems.
• Developing database and user interface tools for online knowledge bases of these activities and processes.
• Develop software applications that use these online knowledge bases to, for example:suggest innovative ways of combining humans and AI to solve various kinds of problems.
  specify detailed workflows, task assignments, and software modules to do this.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science or Engineering (including Artificial Intelligence, Machine Learning, and Human-Computer Interaction)
• Excellent communication and collaboration skills.

This role is primarily based in Singapore.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in social sciences or related fields to join a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

One important goal of the project is to develop a rich taxonomy of activities that can be performed by human-AI teams. Like mapping the plants and animals on an unexplored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge bases that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into taxonomies that range from very general types of activities to very specific ones.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing descriptions of current or potential activities and processes based on techniques such as: interviews, surveys, field studies, ethnographic observations, and literature reviews.
• Making editorial decisions about what content to include in the knowledge base, how to present it clearly, and how to organize it in ways that are logical, comprehensive, widely understandable, intuitively appealing, and conceptually elegant.
• Using human-subject experiments and other social science methodologies (such as cluster analysis) to help improve the above activities as well as to inform and evaluate the development of software tools based on the knowledge bases being developed.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Job Requirements

• Bachelor’s or Master’s degree in Social Science (such as Psychology, Sociology, Political Science, and Economics), Management, Organizational Behavior, Philosophy, Journalism, Computer Science (e.g., with a focus on Human-Computer Interaction)
• Excellent communication and collaboration skills

This role is primarily based in Singapore.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified