DevOps Global Lead is a regional role in Decision Science as part of the Technology & Business consulting department to support primary activities in our Application Delivery services. A DevOps Global Lead shall work closely with the Solution Architect, Technical Consultant, Security Manager, and Scrum Master (or Project Manager) to support the Agile Development team in designing, planning, delivering, and securing client applications in both on-prem and on-cloud environments, enterprises.

Responsibilities

• Lead a team of developers including coaching and sharing of technical knowledge
• Lead the Devop specific projects and manage stakeholders
• Work closely with an agile build and run team to deliver the application software, using Continuous Integration (CI) and Continuous Deployment (CD) practices and its related toolsets.
• Work closely with the client’s platform/infra engineering team to deliver the infrastructure and operating environment for container-based microservices that meet the agreed high availability, performance, and security requirements.
• Work closely with other internal teams within the organization to ensure that solutions are designed with customer user experience, scale/performance, security and operability in mind.
• Ensure that the software releases are aligned and follow the application release and deployment process for the various projects.
• Facilitate and support the troubleshooting or root cause analysis of platform issues or incidents.
• Proactively identify opportunities for automation, process improvement and architecture simplification for the platforms/services/products.
• In charge of project planning and management activities such as cloud services estimation, delivery schedules, internal enablement, security auditing…
• Work closely with the solution team to gather requirements and prioritizes the requirements for the various teams to deliver
• Research and suggest the latest, most relevant technologies and trends for continuous improvement of the platforms/services/products.

Qualifications and Requirements

• Bachelor’s Degree in Computer Science, Information Technology or other relevant qualifications
• Minimum 8 years of working experience in software delivery for sizable transformational or digitalization projects
• Proficiency in CI/CD tool chains such as Gitlab, Bitbucket, Jenkins, Bamboo, SonarQube, Fortify SCA, Fortify WebInspect, Sonatype Nexus, JFrog Artifactory, and etc.
• Comprehensive experience and knowledge of containerization technologies such as Dockers, Kubernetes (K8s), and et.
• Solid understanding and experience on Terraform and Infrastructure-as-code
• Hands-on experience on AWS/Azure Cloud will be an advantage
• Certifications for AWS/Azure Solutions Architect and DevOps Engineer will be highly considered
• English-speaking with good communication and teamwork skills
• Ability to work within fast-paced agile development environment

NOTICE

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

By submitting any application or resume to us, you will be deemed to have read and agreed to the terms of our Privacy Policy, and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Consequences of Not Providing Personal Data for Transaction/Service/Application

Please be noted that should you not consent and provide us with the relevant personal data to fulfil the “Purposes” of collection, use and disclosure of your personal data by Decision Science Agency Pte Ltd, it may hinder our ability to continue to interact with you. We may not be able to make a decision on your recruitment and employment or comply with the law and therefore, we may not be able to make an offer of employment.

You may refer to and access our website https://www.decision-science.com/ for more information.

Job Description:

The Research Fellow will be working on the development of theories and algorithms for non-terrestrial networks. Deliverables include publications and patents.

Experience and Skills:

• PhD in Electrical Engineering and Computer Science
• Research experience with strong research publications
• Expert in networking, optimization, and machine learning

Your future role within QRT

• Your core objective is to create high quality predictive signals
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
• Share and discuss research results, methodology, data sets and processes with other researchers
• Implement the signals and the relevant datasets within the global execution platform
• Monitor signal behaviour and model performance over time
• You would lead the full strategy research cycle from signal generation to implementation

Your present skillset

• Min 3 years of relevant experience with strong track record
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
• Experience in exploring large datasets across multiple time frames is a plus
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Strong capacity to communicate with technologists, data scientists and traders across the globe
• Proven track record in delivering successful systematic strategies

Your future role within QRT

• A key member of the development team, building and enhancing key components for QRT
• A role with the potential to touch many aspects of electronic and algorithmic trading, backtesting, and data management systems
• Working with traders and quants to roll-out, support and run strategies
• Building and supporting new quantitative trading framework software
• Designing clean architecture and leveraging state of the art tools and components
• Bringing new ideas and experimenting with new technologies

Your present skillset

• 3 years’ professional experience
• Advanced skills in one or several programming languages
• Strong Python skills
• high standards in code quality and good development practices
• Knowledge of real-time systems, high performance computing and quantitative applications an advantage
• Strong team-player
• Experience working within a mature CI/CD process, DevOps experience
• Strong communication skills
• C++ or C# experience would be an asset

Our client is a research business dedicated to life-changing industries. They provide their clients with intelligence and insight into the motivations, behaviour and influences of diverse groups of stakeholders. As a Research Manager working at this global agency, you will engage in complex and thought-provoking projects, utilising your expert research knowledge to support clients' business questions.

One of the most exciting things about this role is the chance to continue building your expertise in research as well as your consulting skills, as you’ll take on a wide range of client challenges and projects. You'll get to work on a variety of projects including both Quantitative and Qualitative approaches covering market entry, pricing, customer segmentation, brand positioning and more.

ABOUT THE ROLE

· Engaging with junior members of the team and mentoring/coaching while also supporting with management and resource planning

· Leading the delivery of complex, multifaceted client projects from start to finish including design, set up and delivery

· Consulting with existing and prospective clients, supporting with new business development e.g. helping to write proposals. Managing existing client accounts and growing relationships

· Designing and conducting research utilising a range of methodologies including secondary/primary approaches

· Analysing data from a range of sources and creating excellent report decks and presentations, with the help of your team

· Conducting workshops and other client sessions, including project debriefs and recommendations

This is a fabulous opportunity if you are a people-focused researcher wanting to continue learning with your next role, delving into broad issues, topics and methodologies which you may not have touched in previous roles! You'll help manage a team and support them on their own learning journey, guiding them to deliver future thinking, action-oriented insights to a fascinating range of companies.

ABOUT YOU

• First and foremost, you are a people-focused person who enjoys building relationships at all levels and with all stakeholders, from interns to clients
• You should be an experienced researcher with around 5+ years of experience, ideally with some exposure to both quantitative and qualitative market/consumer research methodologies
• Solid experience in research-oriented tasks such as designing questionnaires, tab specs etc
• Ability to analyse data and create compelling client reports
• Some prior team management or mentoring experience
• Strong competencies in project management
• Ability to develop specialist knowledge which requires a keenness to learn and proactive self-development

About Us

We are a specialist recruitment consultancy focused on Insights, Intelligence and Data. We are a trusted partner for a wide range of companies including global market leaders, FTSE 100 companies and SME employers, across a variety of industries including FMCG, Finance, Tech and Media. Founded in 2014 in Singapore, our candidates and clients would probably describe us as the "Go To" recruitment partner in the Asia Pacific region for our core areas. Please submit your CV here or send it directly to us [email protected]

Key words

market research, consumer research, quantitative research, qualitative research, ipsos, nielsen, gfk, kantar, consumer insights

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 department of Philosophy at the National University of Singapore invites applicants for a ten month Visiting Research Associate Professorship starting in early 2024. The position is affiliated with a project on decision-dependence in normative philosophy, aiming to develop a general framework for making decisions when the evaluation of options depends on or is affected by which option is chosen. Applicants should have at least one area of specialization, and ideally more than one, in a normative field, including ethics, rationality, epistemology, and/or decision theory. The Visiting Research Associate Professorship is a purely research position; no teaching duties are required.

The application should include:
- A CV (Required)
- A Writing Sample (Required)
- Four Letters of recommendation (Required)

If you have any questions, feel free to contact Abelard Podgorski ([email protected])

Qualifications

A PhD in Philosophy or a related field.

More Information

Location: [[Kent Ridge Campus]]

Organization: [[NUS]]

Department : [[Philosophy]]

Employee Referral Eligible: [[NA]]

Job requisition ID : [[23212]]

As a Quantitative researcher your responsibilities will include

• Develop new or improve existing trading models using in-house platforms
• Use advanced mathematical techniques to model and predict market movements
• Analyse large financial datasets to identify trading opportunities
• Provide real time analytical support to experienced traders

Requirements :

• Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science from top ranked universities
• Quantitative bent of mind
• A working knowledge of Linux/Unix
• Programming experience, preferably in C++ or C
• No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets.
• Have a strong work ethics

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 invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Automotive Vulnerability. The position involves the development of testbeds, research electric vehicle charging’s app, pen-testing, tampering, and other security threats. He/she should possess experience or interest in at least one of the following research areas:

• Cyber Security
• Artificial intelligence
• Machine learning

Qualifications

• A Bachelor degree in a relevant area (Master degree is a plus);
• Ability to work in a team; and
• Good oral and written communication skills in English.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Computer Science

Employee Referral Eligible: No

Job requisition ID : 23106

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 main responsibility is in the theoretical analysis, circuit modelling and design, and implementation of topolectrical and non-linear circuits. Specifically, the candidate will work on these specific areas:

1) Floquet circuit realizations involving time-periodic systems

2) Memristive topological electrical circuits. These involve memristors, known as the fourth fundamental circuit element, exhibit a non-linear current-voltage relationship. This non-linear behavior could offer new insights into topological circuits, potentially enabling the storage of topological phases.

3) Quantum circuit realizations using classical topoelectrical circuits. While achieving quantum operations in classical circuits is challenging due to component imperfections, topolectrical circuit approaches can mitigate these imperfections.

Qualifications

• Possess a PhD in Electrical Engineering or related fields
• Knowledge in topolectrical circuits, and related topics of quantum theory, non-linear systems and topology.
• The candidate should also be knowledgeable in circuit and PCB simulation tools and has experience in circuit/PCB implementation and characterization.
• Open to Fixed Term Contract

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 23091

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

• We are working with plant derived molecules that have chemical toxicity and photodynamic antiviral and antibacterial properties as naturally derived agents.

• The successful candidate will need to work with viruses and bacteria and be able to perform some chemical synthesis and characterization.

• Interested parties, please submit your CV via the portal. Send enquiries to David Leong ([email protected]).
• Regrettably, only potential candidates will be contacted for an interview.

Job Requirements

• A Bachelor degree in the life sciences or chemical engineering or biotechnology disciplines. Masters degree holders in the above disciplines are welcomed to apply.

• Bacterial and/or viral work experience are essential skills.

• Molecular cloning will be an advantage for the job.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Chemical and Biomolecular Engineering

Employee Referral Eligible: No

Job requisition ID : 23105

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

• To research on redesign strategies to facilitate automation for construction industry from the perspective of tasks, environment, and components.
• To research and develop system of modular and reconfigurable robots and the relevant components. The aim is to enable a wide spectrum of manual works commonly encountered in construction industry to be completed by automation.

Qualifications

• PhD degree in Electrical Engineering or Mechanical Engineering;
• Experience in mobile manipulator (both hardware and software);
• Experience in ROS and robot simulation;
• Excellent communication skills;
• Good team player.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID : 23131

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

We are looking for a highly motivated Research Fellow candidate to join Dr Jiong-Wei Wang’s research programs to work on a heart immunology project in the Cardiovascular Research Institute and Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore. PI’s information can be found at https://medicine.nus.edu.sg/researchers/wangjiongwei/ or https://orcid.org/0000-0001-7986-6082 or https://www.researchgate.net/profile/Jiong-Wei-Wang or https://scholar.google.com/citations?user=HnUqhCMAAAAJ&hl=en

The candidate is expected to work independently in a dynamic and multidisciplinary environment. In collaboration with A*STAR (Dr. Florent Ginhoux and Dr. Baptiste Janela), the project aims at elucidating the roles of specific immune cell populations in heart injury and identifying therapeutic targets for cardiovascular disease, focusing on the immunology perspectives in ischemia heart disease. The candidate will perform cell culture, western blotting, FACS analysis and a variety of cell viability assessment assays, as well as in vivo experiments in mice, ranging from daily care to surgical procedures and the interpretation of the results. Apart from own projects, the candidate may supervise junior staff and students, and provide support to the research group, as delegated by the PI. The appointment is on a 2-year contract base in the first instance with a possibility of extension. The candidate will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time.

Qualifications

The applicant should have:
(a) A PhD degree in pharmacology or biomedical research; preferably with experience in immunology and animal studies. Experience in myocardial infarction animal models will be prioritized.
(b) An excellent publication record in cardiovascular research field.
(c) Extensive experience in flow cytometry and animal experiments as well as cell culture and molecular biology skills.
(d) Team player with an investigative nature and attention to details.

Remuneration will be commensurate with the candidate’s qualifications and experience. The candidate is eligible for 28 days annual leave and staff welfare including medical insurance.
Contact: [email protected]

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Surgery

Employee Referral Eligible: No

Job requisition ID : 19093

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), or other related fields by the start of the appointment.
• 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

About us

Guotai Junan International is a leading diversified financial services company whose core business activities include brokerage, wealth management and investment management. The company has been building up its presence in Singapore to complement its existing businesses in Greater China and serve a wider range of customers and offer new business and financial products to meet evolving investors’ needs in the Greater China and Southeast Asia region.

Job Description:

• Analyse and track datapoints of various sectors;
• Assist in compilation of macro datapoints and trend analysis;
• Undertake adhoc research of emerging sectors and companies; and
• Any other adhoc project as instructed

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 invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Good communications skill in both written and verbal English

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Computer Science

Employee Referral Eligible: No

Job requisition ID : 22289

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

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

Purpose of the post

The Visiting Senior Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time. The RF’s principal role will be to work in general practices such as planning and conducting experiments, data collection, data entry and analysis.

Main duties and responsibilities

The Senior Research Fellow will liaise with the relevant personnel in the Department and Immunology programme to effectively conduct the project and will be accountable to the Principle Investigator (PI). The RF will be able to:

1. Oversee the general management of the project;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Undertake the day to day running of the project, e.g. Collaborate with team members at the study sites, recruitment, data collection at hospitals/participants’ homes;
4. Conduct literature searches, and analyse data, as well as assist in preparing both progress and final reports of the project;
5. Maintain the highest standard of professional conduct in accordance with policies and procedures;
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. have a Ph.D. degree with good results in the field of biomedicine with prior experience in research being essential; and
2. be able to work independently and in a team, have an investigative nature, attention to detail; and
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint, and
4. have experience and in-depth knowledge in the field of immunology.

Remuneration will be commensurate with the candidate’s qualifications and experience.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Physiology

Employee Referral Eligible: No

Job requisition ID : 23085

DesCartes Program is looking for one RF position in Optimization-driven hybrid AI

ABOUT DESCARTES

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

WP3 aims at

supporting the whole Descartes program in order to develop advanced optimization-based solutions in the context of hybrid AI. Any AI system or machine learning algorithm ultimately involves a formulation with an objective or loss function to be minimized. The modelling of the problem as well as the chosen objective function optimization algorithm is crucial to the success of the overall AI task. This is all the more crucial in the context of hybrid AI, which seeks to integrate physics-inspired models with machine learning algorithms. We will address this problem from two complementary angles, namely optimization-based methods and machine learning-based methods.

The Research Fellow (RF) is expected to contribute to the design and engineering of hybrid twin-based simulation and control architectures for urban critical systems using optimization-based techniques. Finally, the RF will contribute to the use cases of Descartes.

EXPERIENCE & QUALIFICATIONS

Competences in some of the domains listed below will be highly considered:

· Signal and Image processing

· Optimization

· Machine Learning.

Keywords:

1. Artificial Intelligence

2. Signal processing

3. Image processing

4. Optimization (convex, non convex)

5. Machine learning

6. Deep learning

7. Programming (python)

FURTHER INFORMATION & CONTACT

Salary range: SGD6,900 to SGD9,000 per month (depending on suitability and experience)

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602

Interested applicants please send your resume to:

Email : [email protected]

Email : [email protected]

Email : [email protected]

– Please attach your full CV, with the names and contacts (including email addresses) of two character referees.

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 Assistant position is available immediately in A/Prof Victor Yu’s laboratory at National University of Singapore (NUS).

The successful candidate will assist the senior team members in investigating the role of MOAP-1 in aging, senescence and lipid metabolism.

The Research Assistant will be involved in wet lab experiments that involve cell cultures and mouse work using standard molecular biology and biochemistry techniques. The Research Assistant will also assist in general laboratory maintenance, for example conducting preventive maintenance of equipment and other miscellaneous tasks such as buffer preparations and ordering of consumables.

Key responsibilities of this role include:
• Perform assigned tasks to support ongoing research projects.
• Assist with mice husbandry and animal experimentation/procedure.
• Maintain up to date records of inventories for chemical/ biological reagents.
• Assist with general upkeep of laboratory and maintain safety protocols.
• Contribute to the preparation of research manuscripts and reports
• Perform other related duties incidental to the work described therein.

Interested candidates please submit a detailed curriculum vitae, contact information of 3 referees and indicating your earliest availability.

Qualifications

• Qualifications / Discipline:

Bachelor’s Degree in Science.

• Skills:
• Good oral and written communication skills
• Ability to work in a fast-paced team-based environment.
• Other desirable attributes: self-motivated, organized, meticulous, efficient, and flexible.

• Experience:

Prior experience working in a wet lab setting in life sciences will be given priority in the selection process, especially those with prior experience in cell culture, DNA, protein or mouse work.

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Pharmacy

Job requisition ID: 23084

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 successful candidate will work with Dr. Tian Chong on organic synthesis under a project on Novel Active Template Synthesis of Rotaxanes.

The main responsibilities of the position include:
• Research tasks (90%): to carry out research to design and synthesize rotaxanes via novel active template strategies.
• Laboratory safety/ordering (10%): to aid in ordering and maintaining lab supplies, create and review standard operating procedures and risk assessments, assemble reagents, chemicals and media that are needed for experiments.

Qualifications

• Qualifications / Discipline:
PhD of Science required with major in Organic Chemistry. Candidate with strong background in organic synthesis and excellent record of publication is preferred.

• Skills:
1. Have an excellent understanding of chemistry.
2. Have expertise in multi-step synthesis.
3. Communicate well in English in writing and in oral and visual presentations.
4. Show an ability to work supportively in a laboratory environment.

• Experience:
Experience in organic synthesis and spectroscopic techniques for compound characterization.

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Pharmacy

Job requisition ID: 23063

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focusses on developing the technology and demonstrators for Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Several years of experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 23071

COMPANY DESCRIPTION

Headquartered in Singapore, The EtonHouse International Education Group has 120 schools across 11 countries. We run pre-schools as well as K-12 international schools. Together, these schools provide internationally recognized programmes and high-quality education to over 20,000 students globally. The group also runs enrichment programmes and cutting-edge ed-tech programmes to scale the provision of high-quality education in pre-schools.

Over the last 27 years, EtonHouse has been at the forefront of international education in the Asia Pacific region and has won numerous awards. In 2019, our founder, Mrs. Ng Gim Choo won the EY Entrepreneur Of The Year Award in the Education category.  In addition, EtonHouse was recently selected to be in the inaugural cohort of the Scale-Up SG programme, which is an Enterprise Singapore programme selecting high-growth potential local companies which can be groomed into future global champions.

With children at the heart of what we do and the vision to make good quality education accessible to every child in Singapore, EtonHouse launched the EtonHouse Community Fund (ECF) in 2015. As an independent IPC charity, ECF continuously runs initiatives to make a difference in the lives of vulnerable children.

EtonHouse Vision

Shaping the future through education

EtonHouse Mission

Developing confident and capable global citizens

Be a part of the EtonHouse family

We welcome passionate and dedicated professionals who share our belief in the power of education. Together, we can make a meaningful difference to children and society through education.

RESPONSIBILITIES

Responsible to: Principal in the execution of professional duties and responsibilities.

As English/Class Teacher to:

• Respect and value each child’s social, cultural and religious background and by example, provide mutual respect and tolerance.
• Share in the management of pastoral care, health, welfare and behaviour of all pupils and in particular, those within your designated class group.
• Undertake the teaching of a class in accordance with the school’s agreed policies and guidelines.
• Use a variety of appropriate teaching and caring methods to ensure high quality learning takes place.
• Provide planning documents identifying specific learning objectives, differentiated tasks, special needs, extension and assessment, to the Principal or other authorized officer.
• Maintain professional dialogue with colleagues concerning the children, other colleagues and the school. Treat all information with confidentiality.
• Ensure the provision of equal opportunities for all.
• Encourage children to take pride in their own environment and show respect and concern for others, to the benefit of the school as a caring community.
• Be responsible for all aspects of classroom management eg. Care of equipment with resources well-labelled and accessible. Maintain a tidy, well organised room.
• Create an interesting and lively classroom which promotes independent learning.
• Collaborate with Principal and staff in establishing and developing effective pupil assessment procedures and moderation portfolios. Keep appropriate records of achievement for each child in class and provide reports as necessary.
• Build positive links between yourself and parents of children in your care.
• Guide, motivate and monitor classroom helpers in carrying out their tasks.

As Team Member to:

• Collaborate with staff in long-term planning.
• Take corporate responsibility for displays throughout the school.
• Share management and delivery of assemblies.
• Offer and receive advice and guidance on issues that affect the whole school’s performance and thos.
• Share your expertise.
• Participate in appraisal procedures and in-service training that provide personal, professional, and career development.

• At least 1-2 years of relevant professional teaching experience in early childhood;
• The candidate should hold a minimum of a Diploma in Early Childhood or Education or equivalent
• Knowledge of or willingness to acquire knowledge of inquiry-based learning is required;
• Applicants must provide original copies of their Certificates and academic transcripts for authentication;
• L2 Certificate (English) 

Location: 126 Kim Tian Road & 178 Bishan Street 13

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 successful candidate will work with Prof. LIU Xiaogang on the development of lanthanide-based biosensor-enabled quantum sensing system under a project on Quantum sensing for health science based on nv centers in diamond.

The main responsibilities of the position include:
• To independently undertake research in the development of lanthanide-based biosensors for quantum sensing.
• To lead the production of research reports and publications as required by the grantor.
• To assist PI in supervising the students involved in the project.
• To undertake any other duties relevant to the research project.

Qualifications

• Qualifications / Discipline:
1. PhD in materials science, polymer chemistry and engineering, optical physics, or strongly related fields.
2. Ability to work independently and collaboratively with colleagues.
3. Demonstrated a high level of formal written and oral communication skills.
4. Evidence of contributions to research including peer-reviewed publications.

• Skills: NMR spectroscopy, UV-Vis spectroscopy, TEM, SEM, XPS, nanoparticle synthesis, optoelectronic characterization, thermo gravity analysis, etc.

• Experience:
1. Proficient in the preparation and characterization of luminescent materials including organic-inorganic hybrid materials and polymer semiconductors.
2. Experienced in the fabrication of nano/micro-optoelectronics.

More Information

Location: Kent Ridge Campus

Organization: Science

Department: Chemistry

Job requisition ID: 23066

Working Days: 5 Day A week
Working hours: 8:00am-5:00pm or 9:00am-6:00pm
Working Location: 19 Pandan Road Singapore 609271
Salary: $5000 - $6500
Company Transport will be provided when candidate choose 8:00am-5:00pm working hours.

Responsibilities

• Responsible for the overall tax compliance matters including corporate income tax, withholding tax, indirect taxes, transfer pricing study and etc.
• Prepare/review the annual tax returns and ensure compliance to tax laws and regulations
• Prepare/review the monthly corporate tax provision and tax accounting reporting (ie. deferred tax computation)
• Conduct tax research and assist in identifying tax planning ideas and improvement opportunities
• Liaise with various competent authorities in respect of the tax related queries/issues & audits
• Advise and provide support as and when required on the tax compliance and implication
• Review and advise tax related contract clause including new project tendering, procurement contract and etc.
• Keep abreast on the latest development of new legislation and tax updates and advise for full compliance
• Other ad-hoc duties/tasks to be assigned as and when required.

Requirement:

• At least 5 years of experience in taxation, customs and finance
• Candidate shall have more than 5 years tax experience in commercial or professional firms
• Professional experience in taxation with audit/tax firms preferred
• Tax Consultancy background preferred
• Proficient in Excel

Quah Siying (Jeslyn) R1982418

The Supreme HR Advisory Pte Ltd 14C7279