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

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

This role is to provide essential support in scaling up models, optimizing processes, and facilitating technology transfer, with a specific focus on utilizing chemical and biological methods for effective decarbonisation.

Duties and Responsibilities

You will be instrumental in advancing the decarbonization initiatives from laboratory experimentation to pilot-scale operation. Your responsibilities will include:

• Designing and conducting experiments at the laboratory scale to refine various processes, materials, and products, aiming for optimal efficiency.
• Executing experiments for scaling up processes from laboratory-scale to actual operational scale.
• Identifying and addressing challenges associated with scaling up, ensuring a seamless transition and process integrity.
• Collecting and analysing data, preparing comprehensive reports, and delivering presentations that summarise research findings.
• Collaborating with team members to ensure the successful implementation of research projects within designated timelines and budgets.
• Maintaining accurate records of experimental protocols, data, and observations to ensure reproducibility and traceability of results.

Qualifications

• An undergraduate or graduate degree in Aquaculture, Chemistry, Biology, Material Engineering, Chemical Engineering, or a related scientific field.
• Proven expertise in designing and conducting experiments and utilising analytical techniques and equipment.
• Strong communication skills, both written and verbal, with the ability to present technical information clearly and effectively.
• A collaborative mindset and the ability to work effectively within a team.
• Strong organisational skills and the ability to manage multiple tasks simultaneously.
• An understanding of laboratory safety protocols and regulations.

More Information

Job Type: Contract (1-year)

Location: Kent Ridge Campus

Organization: NUS Enterprise

Department : Technology Transfer and Innovation

Job requisition ID : 23051