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 immediately in the Department of Mechanical Engineering, National University of Singapore. Successful candidate is expected to work in the field of AI for Science. Especially, the work is to develop advanced AI models for computational physics and computational materials applications. The candidate will also conduct calculations using DFT and/or AIMD for generating training dataset.

Qualifications

Candidates should have a master’s degree in physics, Materials Science, Electrical Engineering, Mechanical Engineering or a closely related field. They should also have excellent communication skills, both oral and written, and able to guide undergraduate students to conduct projects. Successful candidate is expected to perform DFT/AIMD calculations to understand the underlying physics for explainable AI model development. The candidates have higher priority if they have the background of the AI for Science.

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with a minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

LEVELS DEPENDS ON EXPERIENCES: Teacher / Senior Teacher / Lead Teacher

The NUS High School of Mathematics and Science is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position:

EDUCATION AND CAREER GUIDANCE (ECG) COUNSELLOR

You will help students discover their strengths, interests and aspirations, and develop future-readiness.

You will guide them in making informed plans and decisions for their education and career through individual and group counselling, coaching sessions and workshops.

You will also work closely with teachers, parents and other partners from relevant agencies and various industries to monitor developments and design appropriate guidance programme, e.g. ECG curriculum, and strengthen capacity of the school team.

You will also coach, advise and provide guidance on University and Scholarship plans and applications.

Requirements:

• At least a Bachelor’s degree from a reputable university.
• At least 5 years of working experience.
• Good industry knowledge and/ or experience in education and career counselling would be an advantage.
• Passion for working with young people, especially in guiding them on their education and career pathways.
• An open-minded mindset, be flexible and exhibit cultural sensitivity in managing different profiles of stakeholders.
• A positive and encouraging nature.
• Excellent interpersonal, communication and networking skills.
• Strong collaborative and time management skills.
• Ability to develop systems and structure

Remuneration will be commensurate with qualifications and experience. Interested applicants, please write in or email your detailed resume and a recent passport size photo latest by 30 October 2024 to:

Human Resource

NUS High School of Mathematics and Science

20 Clementi Ave 1

Singapore 129957

Email: [email protected]

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 Summary

Professor Allen Yeoh’s research focuses on childhood leukaemia, with a particular emphasis on translational clinical research in acute lymphoblastic leukaemia (ALL). We are seeking a dedicated and highly motivated Research Assistant/ Associate to support ongoing wet lab research activities related to basic T-cell acute lymphoblastic leukemia (T-ALL) biology as well as translational work related to immunotherapy in the lab located at Cancer Science Institute (CSI).

The candidate will work on projects headed by Dr Tan Shi Hao, Senior Research Scientist in the lab. This is an excellent opportunity to contribute to groundbreaking research related to immunotherapy with potential for career development and growth in a dynamic research environment.

Duties and Responsibilities

Research:

• Perform daily basic molecular biology experiments related to DNA, RNA, protein and cell culture work.
• Derive and work on primary Patient Derived Xenografts (PDXs) mice models including tail vein injection, tumour monitoring via flow cytometry and tumour harvesting
• Support the chimeric antigen receptor-T (CAR-T) cell research and assist in developing innovative immunotherapy approaches under Prof Yeoh's guidance.

Data Management & Analysis:

• Maintain meticulous records of research data and analyse results using statistical software.
• Assist in the preparation of research publications, reports, and presentations.

General Support:

• Collaborate with interdisciplinary research teams, including clinicians, scientists, and external partners.
• Provide administrative support in grant applications, ethics board submissions, and meeting coordination.

Requirements

• At least Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline
• Able to work independently and in a team as well, self-motivated with initiative and keen to learn new techniques
• Previous experience in laboratory work, particularly in oncology or haematology, is preferred.
• Proficiency in working with mice models and techniques including tail vein injection, blood processing
• Proficiency in molecular biology techniques (e.g., Western Blot, qPCR, cell culture).
• Strong organizational and communication skills, with the ability to work independently and in a team

What to expect:

• Sharpen your teaching skills/curriculum planning skills.
• Learn skills to teach practical classes to secondary school students.
• Be exposed to the different types of learning materials and digital aids that can help students learn better.
• Get mentorship from senior teachers
• First-hand & real-world experience to allow interns to be work-force ready.
• Full-time job positions are offered to interns who have excelled in their internship.

In your teaching role, you will

• Sit in for class observation in our senior teacher class and have a review session to learn different classroom management and teaching skills.
• Plan, prepare and deliver science practical lessons in accordance with the curriculum.
• Prepare the required chemical and lab apparatus for practical classes.
• Plan, prepare and deliver science theory lessons in accordance with Explorer Academy’s curriculum
• Create and maintain a safe and conducive learning environment for students.
• Establish and maintain good relationships with students and parents • any other ad-hoc duties as assigned

In your curriculum development role, you will

• Design and develop content for our Primary/Secondary Science curriculum.
• Be exposed to the different types of learning materials and digital aids that can help students learn better.
• Participate in the brainstorming of science holiday revision programme and work with the marketing team to promote the programme.
• Support the lab team in developing learning materials.
• Create questions and write model solutions
• Create teaching slides and interactive activities
• Create and upload online learning materials (videos, notes etc) onto student portal platform.
• Provide administrative support to the Science Curriculum Unit.

Requirements:

• Student majoring in science related field.
• Able to commit 5-6 months internship
• Good Command of Both Written & Verbal English.
• Strong communication and interpersonal skills .
• Organised and have strong attentions to details.
• Takes ownership and responsibility of tasks given.
• Passion for teaching and nurturing young minds.

Details

• Onsite role based in Singapore
• 4 Weekdays + 1 Weekend
• Weekdays: 1pm to 9pm
• Weekend: 9am to 6pm

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 Assoc. Prof. Li Cheng on scalable Bayesian Gaussian process modeling for spatiotemporal data under a project on “Enhancing Scalability of Bayesian Gaussian Process Models”.

The main responsibilities of the position include:
- literature review on the statistical methodology of modeling non-Gaussian data;
- developing new Bayesian Gaussian process based models and scalable computational algorithms for non-Gaussian spatial and spatiotemporal data;
- coding and conducting numerical experiments related to the main topic.

Qualifications

• Qualifications / Discipline:
Recognised Bachelor / Master degree in Mathematics, Statistics, Data Science and related fields.

• Skills:
- Familiar with the methodology and computation of Gaussian processes;
- Strong programming skills in R, Rcpp, or Julia.

• Experience:
Nil

Responsibilities :

• Responsible for sales & marketing of scientific, laboratory & research instruments to the scientific research community and industries
• Engage key account customers, source out new accounts and other business opportunities
• Provide excellent customer service through product knowledge, handling inquiries and eventual sales order
• Managing product lines from strategic planning to tactical activities

Requirements:

• Degree in any Science discipline (Materials Science, Nanotechnology, Physics, Chemistry, Chemical Engineering, or related field)
• Preferably with at least 1 year of sales experience in the relevant industries
• Candidates without experience are welcome as training will be provided
• Dynamic, self-motivated with excellent interpersonal, comunication and presentation skills
• A team player who is resourceful and able to multi-task

Responsibilities

• Prepare sales proposals/quotations and project bids
• On-site visits/services as required
• Liaise with client/contractors/consultants on projects related issues/meetings/presentations
• Responsible for development and management of project related sales
• Other ad-hoc duties as and when directed by the management

Requirements

• Candidate must possess at least a Diploma or Degree in Engineering (Electrical/Electronic) or equivalent.
• Experience in electrical work installation and troubleshooting will be an advantage
• Experience in project management are welcome to apply
• Good technical knowledge to handle consultants and contractors
• Good problem solving and communication skills
• At least 1 year of working experience in the related field is required for this position

• Responsible for installation, commissioning, routine maintenance, trouble-shoot and repair of scientific equipment

• Prepare service test report and IQ/OQ documents for customers

• Prepare service quotation for maintenance and repair works

• Provide excellent customer service through product knowledge, handling customer feedback, prompt response and working closely with sales engineers

• Liaising with principals or suppliers for technical issues

• To take ownership for all assigned projects and assist in other jobs when required

We are a young and growing education center, working with mostly international students, that offers its employees a flexible schedule and environment, good salary remuneration, and job security.

.

The Company: Inspiration Learning Hub (ILH) Pte Ltd advises and helps international students (mainly China currently but we are expanding to other countries) with their educational needs in Singapore. ILH is known for the great care we take with clients and employees alike.

• Our flexible work schedule aids employees in achieving work-life balance.
• We believe in working as a team and supporting each other for the company to grow strong.
• People are our most important assets.

Teachers at our center can upgrade to Senior and Master Teachers or cross over to the management side to be Academic Head, Deputy Operation Manager, or Operation Manager.

The Position: We’re looking for a full-time Math & Science Teacher. Our pay range is from $4000 to $5000.

+ Attractive leave benefits and off-in-lieu package.

+ Performance and year-end bonuses for outstanding employees.

+ On-the-job training and support for new teachers without experience.

Responsibilities:

• Prepare Math and Science Lesson Plans for your lessons.
• Encourage student participation and provide academic support during lessons.
• Set homework and bi-monthly assessment.
• Mark student homework and go through corrections.
• Attend Monthly Meetings and update the Academic Head on students’ progress.
• Assist the Academic Head in researching and developing new teaching materials.
• Administrative tasks like filing lesson plans and teaching records.

Requirements:

• Fresh university graduates or experienced teachers are welcome.
• Current or Ex-MOE teachers are welcome to apply. Salary will be commensurate with experience.
• Must complete A Level, Polytechnic, Degree, or higher education.
• Must be able to commit at least ONE weekend to work.
• Patient, willing to learn/adapt, and proficient in English communication.

The Location: Inspiration Learning Hub is located at 2 Kallang Avenue, CT HUB (retail podium) Singapore 339 407.

An extension of Fun Learners' School - Fun Learners’ School is an education institution that redefines education. It trains learners with focus on learning skills and brings fun to learning. Such an organisation requires staff of a different mindset. Whether it is in teaching, curriculum, facilitating, operations or marketing, there is a common purpose binding these departments together. That is to be the best in whatever we do. This is so as to underpin the success of the organisation with achievements of every staff and learner.

From Humble Beginnings: The Fun Learners' School Story

https://funlearners.edu.sg/

Expertise & Experience You Stand To Gain:

1. Industry-leading strategies in curriculum and pedagogy
2. Online and hybrid class teaching
3. Overseas markets
4. Teacher training
5. Marketing operations, e.g. social media
6. Online education platform development and management

Requirements:

1. Passion in education of children and teenagers
2. Minimum Two years of tutoring experience preferred
3. Recognised degree
4. Competent in English and Maths (Primary & Secondary) & Science (Primary)
5. Teaching experience will be advantageous
6. Potential for managerial roles

Compensation & Benefits:

• $3500 to $4500 + CPF depending on experience
• Medical cover
• Workplace insurance
• Professional training opportunity
• Attractive career progression and options for ownership
• 7-day Annual Leave (1-day addition with each year)
• 7-day Festive Leave (Chinese New Year and Christmas)
• Additional off days depending on performance and workload
• Annual Increment and Bonus

Work Days & Hours:

• Weekdays (Wed to Fri): 12pm - 9pm
• Weekend (Sat & Sun): 8.30am - 7pm
• Monday & Tuesday Off

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff 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 contribute to an academic research project where you will be part of the research team to investigate the cognitive mechanisms of learning and memory; as well as to design and implement qualitative studies and experiments related to this.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:

i. Liaise with research participants, members of the research team and other professionals

ii. Assist in the creation and refinement of research materials and methodologies

iii. Assist with data collection in the field, execute and oversight of research experiments, data processing, data entry, and data analysis

iv. Maintain accurate records of data collected, safeguarding the confidentiality of participants, as necessary

v. Manage administrative tasks related to the research projects e.g., apply for ethics approval, coordinating meetings, scheduling research tasks, requesting for information etc

vi. Conduct literature reviews

vii. Assist in preparation of research reports, findings and presentations to stakeholders

viii. Coordinate and attend project meetings, monitor the project budget and work on other projects and initiatives, as required.

ix. Prepare, maintain, and update website materials.

x. Prepare and write manuscripts for publications with the research team

• 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 research equipment.

Job Requirements

• Have relevant competence in the areas of Microsoft applications (Word, Excel, PowerPoint)
• A good degree with honours in relevant discipline (e.g., psychology, neuroscience, public health, allied health etc).
• Knowledge of research related software such as Endnote, STATA, SPSS will be an advantage.
• Knowledge of Generative AI such as copilot/ChatGPT.

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 Lee Kuan Yew School of Public Policy is seeking Research Associate(s) who will assist with ongoing projects in the field of social science, including financial literacy, economics of aging, social security, and public policy.

The successful candidate should have an interest in one or more of the above-listed topics, as well as the ability to work independently with minimal supervision and a strong willingness to learn about new topics. The candidate must demonstrate good competence in quantitative research methods, and be proficient with statistical software such as STATA or R. Excellent written and spoken English is essential.

This position requires a minimum of two years of past research experience as a full-time RA (in any field). This position requires working with large datasets and caters to individuals who are looking to develop a career or pursue further studies in the fields of public policy or social science research. The Research Associate will work directly with Asst Professor Joelle Fong.

Responsibilities & Requirements

Responsibilities of the full-time Research Associate include:

• Research support for projects under a 5-year research programme
• Conduct literature reviews.
• Perform quantitative data analysis on research projects.
• Independently collect and manage primary and/or secondary data for research projects.
• Contribute to writing research reports, policy briefs, and journal articles
• Prepare manuscripts for submission, and other administrative work.

Job Requirements:

• Have a Master’s degree in Statistics, Economics, Finance, or Sociology from a reputable university.
• Minimum of two years of past research experience as a full-time RA (in any field).
• Demonstrate strong programming skills using either Stata or R (experience with other programs is a plus).
• Excellent spoken and written English.
• Self-motivated and attention to detail.
• Able to commit to at least 1 year of service.
• This is a one-year fixed-term appointment, with the possibility of renewal.
• Optional: Familiarity with social policies on retirement and health is a plus.

Invitation to apply:

• Cover letter, with a brief statement of relevant research experience
• Curriculum vitae (four-page max).
• Two writing samples (e.g. essays, written reports, short articles).
• Two references/letters of recommendation from academic referees. Applicants must arrange for their referees to separately email their references.

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

(We thank all applicants for their interest; however, only shortlisted candidates will be contacted for an interview.)

Inivtation to apply:

Invitation to apply:

Interested applicants are invited to send the following list of documents via NUS Career Portal.

• Cover letter, with a brief statement of relevant research experience
• Curriculum vitae (four-page max).
• Two writing samples (e.g. essays, written reports, short articles).
• Two references/letters of recommendation from academic referees. Applicants must arrange for their referees to separately email their references.

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

Summary

Are you passionate about analyzing data patterns for large scale search engines? As part of ASE, you will be a product expert and analyze of a diverse portfolio of Apple Media Product machine learning model (algorithms) evaluations. The team represents the user’s perspective as they vet new features being introduced to AMP. Your day-to-day responsibilities will include analyzing and creating innovative ideas to help launch new features being introduced to Apple Service, and reporting systematic issues to leadership, engineering, and product teams.

Key Qualifications

• 10+ years of experience working with systems and products that are powered by machine-learned models and an understanding of natural language or speech-enabled products
• 10+ years of experience with model evaluation (information retrieval evaluation, recommender system evaluation, etc. )
• 7+ years of direct people management, demonstrated coaching and mentoring capabilities
• Research experience in regards to evaluation methodologies, evaluation metrics (NDCG, MRR, recall, precision, F-score, Precision@k)
• A demonstrated passion for data analysis, data-informed product innovation, building and shaping data culture
• You use good judgment balancing art and science when visually communicating information (e.g. Tableau, Superset, ggplot, D3).
• Capable of driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to know when to dive deep
• Deep understanding of the software development for machine-learned products and services, and how analytics and human evaluation data can help improve those products
• Ability to manage complex relationships across multiple functions and establish strong partnerships. Outstanding communication and presentation skills, written and verbal, to all levels of an organization
• Good product sense, with the ability to translate between product goals, business goals and technical requirements for data analytics
• Self-motivated and proactive, with demonstrated creative and critical thinking capabilities
• Innate capability to, directly and indirectly, lead large teams for success

Preferred Qualifications

• Advanced degree in Computer Science, Data Science, Engineering, Humanities or related field.
• Proficiency in scripting or programming languages commonly used in data analysis (e.g., Python, R)
• Experience in Large Language Models and Natural Language Processing

Description

• Oversee the development of a portfolio of products run from the Evaluation organization including, but not limited to: instrumentation, offline evaluation, analytics and reporting.
• Develop project plans, monitor and report on progress, monitor staff workload, manage cross-functional dependencies, and track the evaluation organization to team targets. Keep teams focused on the right priorities to meet aggressive deadlines; clearly communicate project progress to leads and executive team.
• Own evaluation design, planning, and prioritization: Oversee all aspects for multiple projects including specifications, scope, requirements, timelines, and resource allocation.
• Partner with the Head of Human Evaluation to drive the development of a product vision for all measurement and evaluation data products in the Apple Media Products team while ensuring our deep commitment to customer privacy.
• Help the product team to deliver, monitor and improve features as we ship them to production: Evaluate and improve the quality of KPIs for key products by analyzing features, and potentially, how they should be instrumented for evaluation success. Empower others to understand and leverage data for decision making.
• Represent our team with other corporate functions (marketing, product security, legal, etc.)
• Ownership of Evaluation Operations, vendors, budget management, and high data quality ownership through management of a manager and team
• Direct supervision of staff, both ICs and Managers: Performance management, career development, education, training, and most importantly, continuous process improvements. Scale the team with top industry talent.

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 highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

PhD degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Scientist/ Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537). The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine organoid cultures as well as design/ perform and analyse work within the project parameters.

Duties And Responsibilities

Research:
o Develop hypotheses and conceptualise, design and execute experiments to address the hypothesis
o To establish, engineer (e.g. by CRISPR) and maintain 3D organoid cultures from a variety of tissue systems
o To carry out molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations
o To organise, preserve and present the results of the experiments in a logical manner
o To properly and systematically record all experiments that have been assigned and their results
o To assist in supervising, training and guiding attachment/undergraduate students where required

Qualifications

ESSENTIAL qualifications include:

1. A PhD with 1-3 years’ relevant post-doctoral experience
2. Strong track record of research achievement evidenced by high-quality publications in a relevant field
3. High-level experience in hands-on use of a wide range of relevant research methods with a focus on organoid work
4. Skills in working independently and creatively to solve experimental problems and
5. Effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports.

Preference will be given to candidates with:

1. Familiarity with the development of phenotypic assays for genetic or chemical screening, involving the use of flow cytometry, high-throughput high-content microscopy, and/or advanced fluorescence microscopy
2. Previous experience with genetically engineered murine models, or
3. Knowledge of IRB, HBRA & IACUC regulations

An extension of Fun Learners' School - Fun Learners’ School is an education institution that redefines education. It trains learners with focus on learning skills and brings fun to learning. Such an organisation requires staff of a different mindset. Whether it is in teaching, curriculum, facilitating, operations or marketing, there is a common purpose binding these departments together. That is to be the best in whatever we do. This is so as to underpin the success of the organisation with achievements of every staff and learner.

From Humble Beginnings: The Fun Learners' School Story

https://funlearners.edu.sg/

Expertise & Experience You Stand To Gain:

1. Industry-leading strategies in curriculum and pedagogy
2. Online and hybrid class teaching
3. Overseas markets
4. Teacher training
5. Marketing operations, e.g. social media
6. Online education platform development and management

Requirements:

1. Passion in education of children and teenagers
2. Minimum Two years of tutoring experience preferred
3. Recognised degree
4. Competent in English and Maths (Primary & Secondary) & Science (Primary)
5. Teaching experience will be advantageous
6. Potential for managerial roles

Compensation & Benefits:

• $3500 to $4500 + CPF depending on experience
• Medical cover
• Workplace insurance
• Professional training opportunity
• Attractive career progression and options for ownership
• 7-day Annual Leave (1-day addition with each year)
• 7-day Festive Leave (Chinese New Year and Christmas)
• Additional off days depending on performance and workload
• Annual Increment and Bonus

Work Days & Hours:

• Weekdays (Wed to Fri): 12pm - 9pm
• Weekend (Sat & Sun): 8.30am - 7pm
• Monday & Tuesday Off

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 immediately in the Department of Mechanical Engineering, National University of Singapore. Successful candidate is expected to work in the field of AI for Science. Especially, the work is to develop advanced AI models for computational physics and computational materials applications. The candidate will also conduct calculations using DFT and/or AIMD for generating training dataset.

Qualifications

Candidates should have a master’s degree in physics, Materials Science, Electrical Engineering, Mechanical Engineering or a closely related field. They should also have excellent communication skills, both oral and written, and able to guide undergraduate students to conduct projects. Successful candidate is expected to perform DFT/AIMD calculations to understand the underlying physics for explainable AI model development. The candidates have higher priority if they have the background of the AI for Science.

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.

Research Fellow (Climate Models)

• Working on numerical modelling of weather and climate using high resolution climate models. – regional and urban
• Parameterization/Optimization of the climate models
• Data Assimilation
• Seasonal to Sub-Seasonal forecasting
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A PhD in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

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

• Working on numerical modelling of weather and climate using high resolution climate models.
• Parameterization/Optimization of the climate models
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A Master's Degree in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

Deployment:

• Mon to Fri : 7.30 am to 2.00 pm (inlcuding 0.5 hrs lunch)
• Service not required on Sat, Sun and gazetted PH's.

Scope of Works:

1. To procure and perform administrative roles related to the resourcing and maintenance of the Science Rooms (e.g. purchase of goods that the Science Room needs, stock-taking of apparatus/materials and teaching resources etc, and maintain cleanliness of the equipment and Science Rooms)
2. To prepare materials, apparatus and equipment for Science lessons
3. To troubleshoot and repair equipment suitable for the Science lessons
4. To maintain and take care of hydroponics and aquaponics systems
5. To assist in garden activities
6. To assist in Science activities at Science Enrich Corner and maintain cleanliness

Requirements:

• At least 2 years of experience working in a similar setting as the Science Rooms in Catholic High School (Primary)
• At least 1 year experience in gardening Hydroponics and Aquaponics are preferred
• Be equipped with basic computer skills [MS Word, PowerPoint, Excel]
• Good interpersonal and communication skills
• Able to read and write in English

Introduction

ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing problems.

In collaboration with local universities in Singapore, SEC is undertaking the research programmes on "Future Resilient Systems (FRS)" and “Future Health Technologies”. The FRS and FHT address the challenges of making Singapore resilient against disruptions and the need to transform the healthcare system into one which is more digital, patient-centric and cost-efficient. Within this framework we are announcing the following job opening.

Task/Job description

We are looking for a committed team player responsible for the coordination and development of science communication activities of the FRS and FHT programmes. You will work closely with the FRS and FHT Management team, as well as with researchers from SEC, ETH Zurich, and local partner institutions in Singapore.

Your responsibilities will include the following tasks (list not exhaustive):

Developing Science Communication Strategies

· Create comprehensive communication strategies for FRS and FHT aligned with the programme’s goals and objectives.

· Define key messages and positioning to effectively convey the programme’s brand identity to interested non-experts and the general public and increase visibility in the scientific community,

Media Relations

· Build and maintain relationships with key industry journalists, influencers, and media outlets (particularly scientific media) in close collaboration with SEC Communications

· Coordinate closely with SEC Communications when media inquiries need to be handled.

Content Creation

· Generate compelling and relevant content for the FRS and FHT, including, articles, impact stories, newsletters, reports and social media.

· Closely collaborate with our researchers and support them in all aspects of content creation.

Market Research and Analysis

· Stay up to date with relevant research and industry trends, competitor activities, and market developments

· Use market research to inform communication strategies and identify opportunities. Track, analyse and report on social media performance metrics, providing insights and recommendations for improvement.

Stakeholder Engagement

· Engage with key stakeholders, including academics, customers, partners, government agencies, and industry associations

· Build and maintain positive relationships to support the programme’s objectives

Compliance and Ethics

· Ensure that all communication activities adhere to legal and ethical standards

· Work with the SEC communications team to ensure cohesive messaging across all channels and units in SEC.

Requirements

(Education or skills requirements)

· A bachelor’s degree in communications, Public Relations, Science journalism or related discipline from a recognised university.

· Possesses the interest in science communications

· At least 5 years of working experience in research communication.

· Working experience in higher education settings will be advantageous.

· Proficient in social media management tools and platforms.

· Creative thinking with high-level writing, editing and skills.

· Ability to work under pressure and manage multiple projects concurrently.

· Competent in long- and short-form content.

· Organised with attention to detail.

· Demonstrate independence and ability to work well in a team.

Information about the application process and contact for applicants

We look forward to receiving your online application including the following documents:

· a cover letter

· a CV

· electronic copies of your educational certificates and

· contact details of at least one referee

· examples of previous content generated by you

Applications via email or postal services will not be considered.

For further information about FRS and FHT, please visit our website:

https://frs.ethz.ch/

https://fht.ethz.ch

The Singapore-ETH-Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

Duration: 1.5-year contract with an option for extension. The remuneration package will be commensurate with the qualifications and experience of the successful candidate.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

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 seeking a highly motivated and talented Research Fellow to join our team in the development of rechargeable batteries using computational design. As part of this project, you will play a key role in designing composites materials using inorganic solid electrolytes with polymers using computational modelling and machine learning.

Qualifications

• Ph.D. in Materials Science, Chemistry, Physics, or a related field
• A deep understanding of solid-state physics/chemistry and general physical chemistry. Knowledge of rechargeable battery and electrochemistry is a plus. Experience in computational modelling of ceramic or polymer electrolyte is highly desired.
• Well-equipped with different tools of materials modelling. Prior experience of computational modelling of functional materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired.
• Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including experience with UNIX/Linux operating systems and command-line environments (e.g. Bash). Experience in machine learning & deep learning, database, and good understanding of high-performance computing hardware is a plus.
• A track record of publishing papers in decent scientific journals and excellent writing & presentation skills.
• Able to collaborate with experimentalist and work with other team members.

SIFBI seeks to appoint a Principal Investigator in area of food oral processing. Special interests will be on the food oral manipulation, food oral rheology, oral tribology, oral physiology, bolus formation and swallowing, food-saliva interactions, and other emerging topics in relation to eating and sensory perception. The appointed Principal Investigator is expected to lead a research team to conducted experiment-based original research in food oral processing.

Jobs Responsibilities:

• To lead a research team to conducted experiment-based research in areas of food oral processing.
• To lead new initiatives in research project proposals
• To write up high impact research publications
• To establish strong international links with academic partners
• To actively engage with industry for knowledge transfer and research collaborations
• To mentor and provide support to junior researchers
• To participate team/laboratory management

Job Requirements:

• PhD in food science or other relevant disciplines
• More than 10 years' experience of postdoctoral and independent research
• Strong lab-based research background in food sensory, food physics, food texture, food flavour.
• An excellent track record of research publications
• Excellent communication skills (e.g. writing and speaking)

The candidate should demonstrate his/her research achievements with an excellent track record of research publications, cases of successful funding, industrial collaborations, and social/economic impacts.

(Informal enquiries can be made by contacting Prof. Jianshe Chen via email [email protected].)

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

SIFBI seeks to appoint a Principal Investigator in area of food oral processing. Special interests will be on the food oral manipulation, food oral rheology, oral tribology, oral physiology, bolus formation and swallowing, food-saliva interactions, and other emerging topics in relation to eating and sensory perception. The appointed Principal Investigator is expected to lead a research team to conducted experiment-based original research in food oral processing.

Jobs Responsibilities:

• To lead a research team to conducted experiment-based research in areas of food oral processing.
• To lead new initiatives in research project proposals
• To write up high impact research publications
• To establish strong international links with academic partners
• To actively engage with industry for knowledge transfer and research collaborations
• To mentor and provide support to junior researchers
• To participate team/laboratory management

Job Requirements:

• PhD in food science or other relevant disciplines
• More than 10 years' experience of postdoctoral and independent research
• Strong lab-based research background in food sensory, food physics, food texture, food flavour.
• An excellent track record of research publications
• Excellent communication skills (e.g. writing and speaking)

The candidate should demonstrate his/her research achievements with an excellent track record of research publications, cases of successful funding, industrial collaborations, and social/economic impacts.

(Informal enquiries can be made by contacting Prof. Jianshe Chen via email [email protected].)

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.