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 Materials Science and Engineering invites talented academics with excellent research track records in science, technology and engineering to apply for appointments as NUS Presidential Young Professors.

Successful candidates will receive:

• A tenure-track position with an attractive salary package as an assistant professor at NUS
• Up to SGD 1 million in a start-up research grant + Scholarships to hire PhD students
• An award of SGD 250,000 in white space funding

About the University

Consistently ranked as one of the top universities in Asia and the world, NUS is internationally respected for its high-quality multi-disciplinary research that addresses complex and critical issues facing Asia and the world. NUS was recently placed 8th in the Quacquarelli Symonds World University Rankings 2024.

About the College

The College of Design and Engineering (CDE)’s 10 Departments and Division as well as 10 corporate laboratories and research centres build on the convergence between the disciplines of engineering, architecture, and design to offer a distinctive interdisciplinary educational experience for our students and foster a cutting-edge multi-disciplinary research environment for our researchers.

To learn more about our College and department, please visit:

• https://cde.nus.edu.sg/

• https://cde.nus.edu.sg/mse/

Qualifications

Applications

Candidate should have/is completing a PhD degree in Materials Science and Engineering or related field, preferably with teaching and post-doctoral research experience.

Applications for the NUS Presidential Young Professorship can be submitted throughout the year. Interested applicants are welcome to submit the CV and supporting documents. You can also contact us at [email protected] if you require more information.

Job Description

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time Senior Research Fellow for the Health Systems and Behavioural Sciences domain.

Duties and responsibilities

- Establishing an independent research programme in the area of health promotion and implementation science to address health related behaviours and mental health;
- Undertaking literature reviews, leading on analysing data, writing reports, presentations, and publication of results and findings in peer-reviewed journal
- Collaborating and coordinating with multi-disciplinary team of experts and researchers in other national and international institutions
- Responsible for adapting, maintaining, evaluating and reporting the results of your work to a range of stakeholders
- Course design and teaching
- Supervision of junior team members and graduate student

Qualifications
- A recognized Doctoral degree in a relevant discipline with a strong post-doctoral research record;
- Track record of publishing in international peer-reviewed journals;
- Ability to generate and maintain an independent stream of funding;
- Ability to teach public health courses at both undergraduate and graduate levels;
- Ability to work in multidisciplinary teams;
- Ability to work with culturally diverse populations.
- Excellent written and oral presentation skills

The grade of appointment will be based on candidate’s academic qualifications and years of relevant experience.

Recruitment is open immediately, and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

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

Job Description

- Adopt innovative teaching methods and create an engaging learning experience for children/youths

- Create worksheets and lesson material

- Prepare and deliver lessons that facilitate active learning experiences
- Perform required classroom administration responsibilities

- Maintain a professional and proactive relationship with caseworkers

Job Requirements

- Bachelor's degree or equivalent

- Up-to-date with the latest MOE syllabus

- At least 2-3 years of relevant teaching experience

- Passion for teaching and nurturing students

- Able to travel

- Pleasant and friendly personality

- Lesson timings would be anytime between 2pm – 9pm on weekdays during school term, depending on the availability of clients

Rate:

Hourly rate of $30 to $75

We are seeking a detail-oriented Temporary Student Affairs & Services Assistant to support our Student Affairs & Services Department in administrative tasks.

A candidate with a background in office work, proficiency in Microsoft Office, and some familiarity with the school environment will be at an advantage.

He/She will assist the Student Affairs & Services Department in tasks such as:

· Conduct assessment of ISB (Independent School Bursary) applications

· Follow up on outstanding documents with applicants

· Generation of outcome letters

Requirements

1. Minimum GCE ‘O’ Levels

2. Able to commit from 01 Nov to 31 Dec 2024

3. Meticulous and detail-oriented

4. Mature and patient personality

5. Proficient in Microsoft Office

Working hrs: Mon, Wed, & Fri (0800AM to 0130PM)

Location: Tower Road

Requirements:

• Experience working in science labs at primary schools.
• Proficient in speaking, writing, and understanding English.
• Preferred: Ability to use phone message apps and emails.
• Preferred: Experience with duties outlined in "Scope of Services."

Scope of works:

• Maintain a safe, clean, and organized lab environment.
• Ensure all apparatus and equipment are safe, clean, and in good condition.
• Report faulty equipment and display “Out of Order” signs.
• Safely dispose of broken glass and other materials.
• Secure Bunsen burners, data loggers, and microscopes under lock and key.
• Inspect and maintain Bunsen burners.
• Maintain stock and breakage records for replacements.
• Check and replenish first-aid supplies.
• Assist science teachers in lesson preparation and cleanup.
• Perform other tasks assigned by the Science HOD.

Job Description

The successful candidate is expected to teach a course on Current Topics in Health and Nutrition to undergraduate students. The appointment will be for the first half of Semester 2 of Academic Year 2024/2025.

Qualifications

PhD in a relevant field, proven track record of excellent achievement in teaching and supervision at undergraduate level. Strong communication skills, a capacity for high-quality research, a commitment to teaching excellence, and a team-oriented attitude.

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.

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and retronasal sensation.

Main responsibilities:

• To conduct independent lab-based research
• To design experimental tasks and conduct independent research on mass transfer and retronasal sensation according to the project plan.
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications.

Job Requirements:

• PhD degree in food science, food sensory, food flavour, sensory analysis, oral physiology, or other relevant disciplines.
• Knowledge on sensory receptors, sensory physiology is advantageous.
• An excellent track record of research publications.
• The candidate should also have excellent communication skills and is capable of working together with researchers from other scientific disciplines.

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.

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and retronasal sensation.

Main responsibilities:

• To conduct independent lab-based research
• To design experimental tasks and conduct independent research on mass transfer and retronasal sensation according to the project plan.
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications.

Job Requirements:

• PhD degree in food science, food sensory, food flavour, sensory analysis, oral physiology, or other relevant disciplines.
• Knowledge on sensory receptors, sensory physiology is advantageous.
• An excellent track record of research publications.
• The candidate should also have excellent communication skills and is capable of working together with researchers from other scientific disciplines.

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.

Working hrs: Mon to Fri (0730AM to 0415PM)

Location: Punggol

Requirements:

• Must have a GCE “N” level qualification.
• Proficient in MS Office.
• At least 3 years of school experience.

Preferred Soft Skills:

• Team player with strong organizational skills.
• Ability to multitask and work independently.
• Takes initiative in completing tasks.

Scope of works:

• Oanage and maintain inventory of science equipment and materials.
• Oversee housekeeping in laboratories and preparation rooms.
• Assist teachers in preparing materials for laboratory and E2K lessons.
• Support science teachers during laboratory lessons.
• Create manipulatives for teaching science.
• Help conduct science activities during recess, as needed.
• Care for school animals (birds, frogs, stick insects) and their enclosures.
• Water and care for plants in Eco, Butterfly, Rooftop, and Community In Nature (CIN) Gardens on Mondays, Wednesdays, and Thursdays.

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and instrumental simulation of the process.

Main responsibilities:

• To conduct independent lab-based research on instrumental design and construction
• To design experimental devices and set ups needed for the project
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications

Job Requirements:

• PhD degree in physics, material science, mechanical engineering, or other relevant disciplines of physical science and engineering
• Previous experience in instrument design greatly beneficial
• Knowledge and research experience in food sensory, food flavour, food physics are ideal, but not essential
• An excellent track record of research publications
• The candidate should also have excellent communication skills and is expected to establish collaborations with researchers from other scientific disciplines.

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.

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and instrumental simulation of the process.

Main responsibilities:

• To conduct independent lab-based research on instrumental design and construction
• To design experimental devices and set ups needed for the project
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications

Job Requirements:

• PhD degree in physics, material science, mechanical engineering, or other relevant disciplines of physical science and engineering
• Previous experience in instrument design greatly beneficial
• Knowledge and research experience in food sensory, food flavour, food physics are ideal, but not essential
• An excellent track record of research publications
• The candidate should also have excellent communication skills and is expected to establish collaborations with researchers from other scientific disciplines.

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.

Working hrs: Mon to Fri (0800AM to 0100PM)

Location: Hougang

Requirements:

Science Laboratory, Art Assistant:

• GCE ‘O’ Level qualification.
• Minimum 3 years' experience in a primary school.
• Proficient in Microsoft Office (Word, Excel, PowerPoint).

Scope of works:

Science Laboratory cum Art Assistant

• Manage operational and maintenance tasks in Science Labs and Art Rooms.
• Operate simple life science equipment.
• Prepare and set up equipment for experiments.
• Prepare materials for art lessons.
• Maintain and update data records, including stocktaking.
• Perform general administrative tasks, such as filing and typing.

Laboratory Technician (Electrical/Electronics/Mechatronics)

Responsibilities

• Support teaching and learning in the following areas:

- Preparation of laboratory materials, hand tools, and components for lessons and examinations

- Troubleshoot and maintenance of laboratory tools and instruments

- Management of laboratory space for student projects, project equipment, materials, and storage

- Assist in managing activities in the laboratories and ensure safety procedures are observed

• Perform daily housekeeping and maintenance to ensure the safety, cleanliness, and tidiness of laboratories.
• Liaise with vendors and evaluate quotations from suppliers for laboratory equipment and electronics components.
• Track and maintain laboratory documentation (i.e., Risk Assessments and Components Data Sheets) and inventory of laboratory equipment, hand tools, and components

Requirements

• Diploma in Electronics & Electrical Engineering or equivalent
• Knowledge in Electronics/Mechatronics
• Knowledge and hands-on experience in operating Electronics measuring instruments such as Digital Oscilloscope, Digital Power Supplies, Digital Function Generator and Digital Multimeter
• Able to understand PCB schematics, PCB/circuit layouts
• Possesses good soldering skills
• Proficiency in Microsoft Office and Circuit Simulation
• Must be able to lift relatively heavy objects
• Must be able to differentiate different colours for work purposes
• Team player and able to work independently

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

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.