Total 3,459 research officer job vacancies in Education / Training category in Singapore

Introduction

In collaboration with the Woodlands Health (WH) and the National Health Group (NHG), the Rehabilitation Research Institute of Singapore (RRIS), the Nanyang Technological University (NTU), and SingHealth, SEC is undertaking a research programme on "Built Environment and physical activity in Falls and Arthritis study (BE-FIT)". It addresses imminent health challenge on moving away from “sickcare” and pivoting towards preventive healthcare as part of the nationwide effort on Healthier SG. Within BE-FIT we envision motivating vulnerable older adults to engage in healthy behavior by providing recommendations on improving accessibility (as well as preception thereof), in urban environment for uptake of physical activity. A deeper understanding of the interactions and interplay between BE and the high burden of falls and OA as proposed within the BE-FIT is crucial towards informing data-driven decisions on urban design and how the mobility-impaired elderly interact with their physical environment.

Project background

Falls result in severe physical as well as psychological impact among older adults. Beyond physical implications on injury-related trauma and in severe cases death, the psychosocial impact of falling can also be excruciating. Fear of falling can result in vicious cycles of decreased activity as well social isolation. These in turn lead to lower muscle strength and higher risk of future falls. In a similar manner, osteo-arthritis (OA) can lead to fear of movement (kinesiophobia) resulting in reduction of physical activity levels.

Within Work package 3 (WP3) of the BE-FIT study, we investigate movement patterns and features of walking outdoors and in the neighbourhoods among vulnerable older adults (suffering from OA as well as at high risk of falling). We will acquire these movement patterns and features using the state-of-the-art inertial measurement units (wearables such as ZurichMOVE or Axivity) sensors. These sensors are equipped with triaxial accelerometers and gyrospcopes and provide assessment of aspects such as impact and swing behaviour during different movements. Specifically, we will be addressing the following research questions:

1. What are the kinematic characteristics of walking among older adults with OA and/or previous falls under ecological settings (neighbourhoods etc)?
2. Do the kinematic characteristics of naturalistic walking predict physical activity rates?
3. Does the design of walkways (including overall layout, e.g. design of curbs, pathways etc and accessibility features e.g. size of the curbs, or height of side walk, ramps vs stairs) impact overall levels of physical activity as well as specifics of walking quality?

Task/Job Description:

As a Research Assistant in the BE-FIT, you will be responsible to

• Design, implement, and test the measurement protocol on long term monitoring using the state-of-the-art inertial measurement unit sensors.
• Assist project management for BE-FIT research activities at SEC including project planning activities, effort estimates, and on-site and remote exchange with several research partners, especially at the CNRS, RRIS and WH.
• Conduct research for the BE-FIT long-term monitoring within the Work package 3, including participant recruitment and scheduling of measurements, but also communication with participants on replacement of sensors and battery charging, and finally storage of data collection.
• Interact with end users as well as researchers at SEC, ETH Zurich, and local partners

Requirements:

This position requires:

• A university or applied science degree in Nursing and Physiotherapy, but also Psychology, Cognitive or Behavioural Science, Neuroscience, Rehabilitation Science, Biomedical Engineering, or a related field/equivalent work experience
• Experience with research methods, study design, project management, handling patients, especially older adults
• Good “people skills” when interacting with participants, patients, and colleagues
• Interested in working with and developing protocols for acquiring data using technological tools and equipment particularly in the field, e.g. remote sensing, etc.
• The following competencies will be advantageous:
• Be proactive, communicative and show personal responsibility, initiative and enjoy technology and interdisciplinary teamwork
• Can work autonomously and with a self-starter attitude
• Good communication skills orally and in writing
• Previous experience with health-related data and protocols
• Compensation commensurate with qualifications and experience

Information about the application process and contact for applicants

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

• Cover letter outlining your motivation and experience in the field
• A comprehensive CV including certificates (e.g. Master's and/or Bachelor's degree)
• Transcript of records

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about BE-FIT Project can be found on our website: https://fht.ethz.ch/

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

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.

Description:

• Handling enquiries from interested study participants (parents)
• Assist to prepare prior to, during and post-study participant visits
• Data entry/management
• Coordinate/schedule participant visits
• Daily operational duties
• Research study will be centred around children

Requirements:

• Min. 'A' Levels / Diploma in Science / Psychology
• No exp needed, training provided
• Able to start immediately

Working hours: 32 hours per work week (Monday, Tuesday, Thursday and Friday: 8am to 5pm), Sat on ad-hoc basis

Location: Tampines / Punggol

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Position: Research Analyst

Reports to: Head of Commodity Market Research

Location: Singapore

Role purpose:

· Help setup a world-class Market Intelligence function within Molycop – that acts as a trusted advisor to the Group on commodity & freight market dynamics, market strategy and enables informed decision making.

Key accountabilities:

· Provide robust fundamental demand-supply analysis, insights and recommendations to the business by conducting research on the following:

o Steel & Raw Materials Markets (60%): Support the Group’s steel & traded products’ buying strategy.

o Freight Markets (25%): Play an integral role in the Group’s freight strategy (bulks and containers).

o Copper-Gold Market Dynamics, Energy Transition and ESG analysis (15%): Support the Group’s commercial strategy by undertaking research on customer industries.

· Data collection, maintenance, processes automation and statistical modelling that enhances the ability to draw meaningful insights.

· Influence and update internal stakeholders through both written work and verbal presentations.

· Create compelling presentations on the commodity market dynamics for the customers.

· Build a network of contacts with commodity traders, mining companies, steel producers, brokers, research providers to share and develop market intelligence.

Required qualifications:

· Strong academic background, preferably in Economics, Engineering, Finance, Geology or Data Science

· Highly developed quantitative skills and advanced proficiency in MS Excel is a must

· Knowledge of commodity value chains (preferably steel/metals) and freight market highly desirable

· 2-4 years of working experience in commodity market analysis, consulting, mining, shipping or commodity trading.

· Good written and verbal communication skills; Mandarin language skills highly valued

Desired operating style

· Passionate about commodity markets

· Intellectually curious

· Proactive and pre-emptive nature

· Excellent attention to detail

· Speed of execution

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 spin and energy lab at National University of Singapore invites applications for research fellow positions in spintronics. In this position, you will carry out experimental research on novel spintronic devices for memory and computing applications.

Qualifications

• Possess a recognized PhD degree in physics or nanoelectronics.
• 4-5 years of experience in experimental device/spintronics research.
• Experience in electrical transport measurements and thin film deposition/characterization.
• Open to fixed-term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to model the corrosion induced damage process in reinforced concrete. A multi-physics model is envisioned, to capture the ingress of chloride ions, the stress loading on concrete material due to the formation of corrosion products, and the resultant damage in concrete.

The candidate is expected to perform the following tasks:
• Develop and implement a multi-physics FE numerical model for concrete on the diffusion of chloride ions;
• Develop and implement a FE damage model for concrete to capture the development of cracks in reinforced concrete;

Job Requirements

• Possess a bachelor’s degree in a relevant field, with demonstrated experience in the following topics:
• Meso-scale generation and meshing of FE unit cells for concrete.
• Phase-field / nonlocal / gradient damage models for concrete.
• Good written and spoken communications and able to present results clearly.
• Open to fixed-term contract.

Responsibilities:

• Confidently lead a small team of Researchers
• Develop junior members on critical thinking and computational thinking skills
• Able to solve problems creatively, and pivot responsively to operational changes
• Conducting presentations of research results and analyses
• Strong in articulating concepts and ideas in clear and precise manner
• Deployment of adjacent teams for operational work
• Scripting, processing and delivery of accurate survey datasets to clients
• Maintaining excellent relationships with all stakeholders

Requirements:

• Bachelor in Mathematics, Engineering, Business, Science, Computing, or any numerical fields preferred
• At least 6 years of working experience, with leadership roles in market/consumer/social research
• Have strong quantitative skills, confident and excellent interpersonal skills to deal with different stakeholders
• Analytical with attention to details and a team player
• Highly comfortable dealing with large datasets using software (eg. SPSS, R, Python, Power BI etc.)
• Familiarity with scripting and data collection platforms (e.g. WinCATI, Sensus, Forsta) an added advantage
• Competency with Microsoft Office, and intermediate to advanced skills in Powerpoint and Excel

Interested candidates, submit your resume in MSWord to [email protected] or contact 62251232

Responsibilities

• Provides assistance to the research team
• Screens and recruits suitable patients to participate in the research project
• Briefs patients on research background and rationale and to obtain their consent of participation
• Collects data from patients' medical records and research statistics
• Helps document adverse events / reactions that arise
• Performs phlebotomy and venepuncture when required
• Other ad-hoc roles as assigned

Requirements

• Minimum Diploma in Nursing
• Phlebotomy skills are a MUST

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung
CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Description:

• Handling enquiries from interested study participants (parents)
• Assist to prepare prior to, during and post-study participant visits
• Data entry/management
• Coordinate/schedule participant visits
• Daily operational duties
• Research study will be centred around children

Requirements:

• Min. 'A' Levels / Diploma in Science / Psychology
• No exp needed, training provided
• Able to start immediately

Working hours: 32 hours per work week (Monday, Tuesday, Thursday and Friday: 8am to 5pm), Sat on ad-hoc basis

Location: Tampines / Punggol

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

The Lee Kuan Yew Centre for Innovative Cities (LKYCIC), established in 2012, is a research centre at the Singapore University of Technology and Design. LKYCIC aims to stimulate research on cities and urbanisation, and explore the role of technology, design and policy in providing urban solutions.

Within the Programme on Urban Innovation, we are seeking a full-time Research Assistant to contribute to the study of placekeeping, which involves the long-term management and maintenance of place. With a mixed-methods research approach, we will examine who the key stakeholders are in placekeeping, how they collaborate, and what facilitates or hinders their collaboration. The study aims to establish a methodology and framework that will enable the systematic investigation of placekeeping and inform future policies and practices related to placekeeping in Singapore.

About the Position:

This position is ideal for someone who is passionate about placemaking, placekeeping, and community engagement in urban planning and design and is looking to gain experience for a future career in research.

You will:

• Work closely with the Principal Investigator and research team to craft data collection tools, including survey and interview questionnaire
• Conduct fieldwork and data collection activities, including interviews, on-site observations, and surveys
• Assist in conducting qualitative content analysis of interview transcripts and documents related to placekeeping projects
• Assist in the analysis of quantitative and spatial data
• Assist to prepare manuscripts and reports for publication
• Communicate research with public and private stakeholders and collaborators
• Research and write literature reviews
• Provide administrative support for research projects

Duration: The selected candidate is expected to start from January 2024. The initial term of appointment will be one year, extensible to longer terms upon satisfactory performance and funding availability.

Qualifications and Skills:

• A Bachelor’s/ Master’s degree in a relevant field, such as urban planning, geography, urban design, public policy, sociology, or environmental psychology.
• Strong research and analytical skills, including analysing and synthesizing data from multiple sources.
• Demonstrated skills in quantitative and/or qualitative data collection and analysis
• Proficiency in data analysis software/ programming language (e.g. NVivo, Atlas.ti, R, Python)
• Excellent written and verbal communication skills, including assisting in developing reports and papers for publication and presenting complex information in a clear and concise manner.
• Strong time management and project organisational skills.
• Proven ability to work in a team and an interdisciplinary environment, with minimal supervision.
• Solid understanding of, or work experience in placemaking and placekeeping is a plus
• Knowledge and/ or experience in designing data collection tools based on environmental psychology and community psychology is a plus.

How to Apply: The application with the subject heading – Placekeeping RA Application – should be sent via email to Dr. Yohei Kato at [email protected]

The application must include the following:

• a cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• a curriculum vitae
• a writing sample
• three referees who may be contacted for a reference

Only shortlisted candidates will be contacted. This position remains open until filled. The Lee Kuan Yew Centre for Innovative Cities offers an exciting and intellectually stimulating environment where appointees can significantly contribute and develop professionally.

Lee Kong Chian School of Medicine invites applications for:

Research Assistant in the Laboratory of Dr. Luo Dahai

(profile page: https://dr.ntu.edu.sg/cris/rp/rp00464)

We are currently recruiting a Research Assistant who will join the laboratory of Molecular Mechanisms of Viral Infection & Host Defense Laboratory at Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University (NTU).

Responsibilities:

• Work with the PI and team members to perform experiments, document results, and analyse data.
• Assist purchasing of equipment, materials and consumables and provide general supports for the lab.
• Keep track of cell lines, plasmids and other reagents and materials in the lab.

Skills and qualifications:

• Candidates should have a Bachelor’s degree or equivalent in any relevant fields of cell biology, biochemistry, virology or structural biology.
• Previous research experience or laboratory training in molecular cellular biology is desired but not essential.
• Self-motivated and well-organized with good communication and technical skills.
• Be able to work independently and collaborate effectively in a highly diverse and interdisciplinary team.

Application Procedure:
Please contact the PI directly via email [email protected] with your cover letter, CV and names / contact details of two references. Only shortlisted candidates will be notified.
The position is immediately available.
Location: EMB building, NTU main campus
Closing date: until the position is filled.

The Nanyang Technological University School of Materials Science and Engineering (NTU MSE) is looking for a highly motivated candidate to join us as Research Assistant.

Key Responsibilities:

• The candidate is expected to play the main role in the project with an industry partner in developing new materials for electronics packaging. This may involve the use of nano-materials in solder or die attach or thermal interface material applications. The job will also involve various fabrication processes such as bonding, sintering, etc. The staff will also carry out different materials characterization techniques such as DSC, DGA, TMA, XRD, SEM, EDS.
• The job will also involve mechanical and electrical properties characterizations, such as electrical resistivity measurements and mechanical testing. Reliability testing such as thermal aging or thermal cycling may be carried out as well. Lastly, failure analysis would be done to determine the failure mode and mechanisms.
• Liaise with industry partner on the project requirements.
• Fulfill the technical requirements of the project.
• Take care of the equipment that is used for the project.
• Write technical reports and prepare presentations needed for the project.

Job Requirements:

• Bachelor degree in the materials engineering with at least Honours (Distinction).
• Knowledge in microelectronics materials and packaging technologies such as die attach, soldering, thermal interface materials.
• Knowledge in reliability studies such as accelerated testing, failure analysis will be an advantage.
• Good command in written & oral English.
• Good working attitude and team player.

We regret that only shortlisted candidates will be notified.

Description:

• Handling enquiries from interested study participants (parents)
• Assist to prepare prior to, during and post-study participant visits
• Data entry/management
• Coordinate/schedule participant visits
• Daily operational duties etc
• Research study will be centred around children

Requirements:

• Min. 'A' Levels / Diploma in Science / Psychology
• No exp needed, training provided
• Able to start immediately

Working hours: 32 hours per work week (Monday, Tuesday, Thursday and Friday: 8am to 5pm), Sat on ad-hoc basis

Location: Tampines / Punggol

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

As an intern for AI research engineer, the candidate will work on developing AI methods or solutions related to computer vision tasks for autonomous disassembly process. The candidate will focus on the following tasks:

•    Understand the typical process and challenges for automated disassembly.
•    Collect information on different types of defects and damages for automotive parts.
•    Conduct comprehensive evaluation   on collected data and derive systematic categorization.
•    Develop advanced computer vision algorithm for object detection, segmentation and pose estimation using state-of-the-art methodologies.
•    Explore potential solutions   to handle unexpected defects.
•    Integrate the algorithm into software and hardware platform.
•    Closely collaborate and communicate with other team members.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Work on a project to create optimized designs for heat exchanger;
• Perform multi-physics numerical simulation to establish specific dataset;
• Build machine learning models to learn performance of heat exchanger;
• Deliver design results with no additive manufacturing production issues.

Job Requirements:

• PhD in Mechanical Engineering, Structural Engineering, Aerospace Engineering, Machine Learning, or related fields
• At least 3-year research experience in related areas
• Expertise in numerical simulation of multi-physics systems, such as fluid-solid coupling structures
• Experience in additive manufacturing, and machine learning
• Proficiency in basics of programming languages such as C++, Python, and/or Matlab
• Proficiency in English speaking and writing
• Publication track record is an advantage for this position

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Algorithm design, implementation & testing.
• Benchmark comparison.
• Setup and develop response generation or ranking models.
• Writing scientific report or summaries.

• Minimum Bachelor's degree or senior undergraduate student in Computer Science, Computer Engineering or closely related disciplines.
• Minimum 1 year of relevant research experience in NLP or CV.
• Better if have research papers published in top tier conferences such ACL.
• Proficiency in programming languages such as pytorch or tensorflow is required.
• Demonstrated experience and know-how on doing research.
• Experience with systems, such as linux, docker is preferred.
• Excellent working knowledge of dialogue systems, pretrained language models, LLMs.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in NLP or CV area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-XL1

Responsibilities

• Provides assistance to the research team
• Screens and recruits suitable patients to participate in the research project
• Briefs patients on research background and rationale and to obtain their consent of participation
• Collects data from patients' medical records and research statistics
• Helps document adverse events / reactions that arise
• Performs phlebotomy and venepuncture when required
• Other ad-hoc roles as assigned

Requirements

• Minimum Diploma in Nursing
• Phlebotomy skills are a MUST

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung
CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Lead the H-IRB application to Singhealth.
• Help purchase the watches for the study.
• Create the software stack on the watch needed for the study.
• Build the end-to-end software stack to collect and analyse data from the watches.
• Analyse the data coming from the watches to validate the hypothesis.

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• Minimum 4 years of relevant research experience in mobile systems work.
• Basic knowledge/Proficiency in programming software/languages such as Java and python will be positively considered/ is required.
• Demonstrated experience and know-how on Android and analytics.
• Excellent working knowledge of Android/analytic.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in sensing solutions for detecting meltdowns in children with autism area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-XL1

Description:

• Handling enquiries from interested study participants (parents)
• Assist to prepare prior to, during and post-study participant visits
• Data entry/management
• Coordinate/schedule participant visits
• Daily operational duties etc
• Research study will be centred around children.

Requirements:

• Min. 'A' Levels / Diploma in Science / Psychology
• No exp needed, training provided
• Able to start immediately

Working hours: 32 hours per work week (Monday, Tuesday, Thursday and Friday: 8am to 5pm), Sat on ad-hoc basis

Location: Tampines / Punggol

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Conduct research in mathematical logic, particularly in the area of computability theory and applications to mathematical structures and processes
• Collaborate with the research team on ongoing projects, exchanging ideas and insights, and contributing to joint publications
• Assist in mentoring and guiding graduate students in their research projects related to mathematical logic
• Teach or tutor basic undergraduate courses for the division

Job Requirements:

• Ph.D. in Mathematics, Computer Science, or a closely related field, with a focus on mathematical logic
• Demonstrate ability to conduct independent research, as evidenced by a track record of quality publications in reputable conferences or journals
• Excellent problem-solving skills and the ability to approach complex problems with creativity and precision

We regret to inform that only shortlisted candidates will be notified.

Job Description

The department is looking for an established and renowned scholar or practitioner in the field of Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments to serve as a visiting professor.

The research agenda of the sabbatical will address two to three aspects of flapping-flight MAVs inspired by bats, in particular its (i) aerodynamics, (ii) robotic replication, and - if time permits - its acoustic characteristics. The research work, especially on topics (i) and (ii), will build on three strands of ongoing research: (i) The collection of experimental data from bat flight that has started in Brunei in the summer of 2023 and will be continue in the summer 2024, (ii) complexity analysis of bat flight kinematics, and (iii) design and implementation of biomimetic MAVs.

Qualifications

• Holding professorship in IHL or equivalent in industry
• Established individual in the field of Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments
• Rich teaching or practice experiences in Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments
• Rich international exposure in both academia and industry

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.

Bloomberg Intelligence ("BI") conducts in-depth equity, fixed income, legal and policy research on large and midsize companies to help investors and industry professionals effectively evaluate those companies and the broader markets. We also produce extensive regional and global equity and fixed-income strategy research.

Our research combines written analysis with interactive charting and analytics created from company-reported data as well as industry and government data. Our work gives trading, investment and industry professionals and other Bloomberg Terminal clients deep insight into where crucial sectors or regions stand and where they may be heading.

We’re looking for an experienced editor who thrives under real-time deadline pressure in a complex, innovative environment. This role entails editing forward-looking, creative and insightful financial research that's critical to the specialist and accessible to the generalist. You'll play a key role in helping analysts develop and maintain their franchises, using strategic publishing, data visualization, multichannel distribution and broad cross-firm collaboration. You can translate jargon and complex ideas into clear language. You'll be a key part of our growth and innovation, helping us raise our skills and expand readership. The successful editor can multitask across diverse platforms, collaborate and wear multiple hats, in a real-time environment.

We'll trust you to:

• Deploy strong writing, editing, multimedia and data visualization skills
• Handle deadline pressure in a real-time environment
• Edit short-form research to be compelling and concise
• Edit long-form reports for story arc/narrative flow, cohesiveness and consistency
• Be a team player who can collaborate across teams and departments

You need to have:

• A bachelor's degree or equivalent experience
• At least 10 years of editing experience
• Experience editing at a financial news outlet or in the financial services industry or for a wire service
• Experience editing or writing news or research related to equities, credit markets, or economies
• Proficiency in both written and spoken English. Outstanding written communication skills
• Extensive experience working with analysts or with financial journalists in a real-time environment
• Demonstrated continuous career growth within an organisation

We'd love to see:

• Strong multimedia, data visualization, audio and video editing skills
• Good presentation skills
• Familiarity with the Bloomberg system

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

Learn more about our office and benefits:

Singapore| www.bloomberg.com/singapore

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [email protected](Americas), [email protected](Europe, the Middle East and Africa), or [email protected](Asia-Pacific), based on the region you are submitting an application for.​

Job Summary:

• Industry: Healthcare
• Location: Redhill/Queenstown
• Employment type: 1-year contract

Job Responsibilities:

• Assist in the recruitment of trial participants daily and ensure smooth facilitation
• Facilitate the administration of surveys, questionnaires and interviews related to the research
• Work closely with the research team in data collection, data analysis, and academic writing
• Coordinate the administrative aspects of research planning and execution, which includes familiarisation with ethics-related approval requests and meeting organization
• Handle administrative and logistics planning of the research study
• Reply timely to the ethics board and other administration-related requests

Job Requirements:

• A diploma or equivalent in qualifications in Science/Public Health/Social Science with 2 years of relevant experience
• Able to adapt to a fast-paced environment, with a strong focus on meeting research deliverables and targets.
• Independent and mature.
• Able to work independently, as well as in a team.
• Meticulous, well-organized and able to multi-task
• Able to work in an interdisciplinary environment with different groups of stakeholders.
• Good verbal and written communication skills

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.
We regret that only shortlisted candidates will be notified.
Registration No: R23113834

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a motivated and hands-on individual who will assist with field surveys and mariculture research based at the St John’s Island National Marine Laboratory.

Job Scope includes:

• Conduct regular biodiversity field surveys (intertidal).
• Specimen processing including Imaging
• Conduct daily animal husbandry
• General maintenance and housekeeping of field equipment and aquarium
• Procurement for project needs
• Assist in data analysis and report writing/scientific paper writing
• General administrative duties
• Other duties as and when assigned

Qualifications

• Bachelor’s degree in Science from a recognised University, majoring in Biology, Zoology, or equivalent
• Proficiency in oral and written English
• Able to work in a team and independently
• Experience with animal husbandry and fieldwork will be an advantage
• Strong interest in marine science
• Job position is based at the St John’s Island National Marine Laboratory, St John’s Island.

Ferry transport to work will be provided.

The Early Mental Potential & Wellbeing Research Centre’s mission is to maximise every child’s mental and emotional capital by uplifting neurodevelopmental trajectories during early sensitive periods through interdisciplinary discovery science and translational technologies.

Toward this aim, we engage in 3 major activities and thrusts:

1) Core Discovery Research, Empowering Science: Basic neuroscience research and advanced computational models to understand individual neurocognitive potential, developmental trajectories, and risk and resilience factors;

2) Translation to Clinic & Pedagogy, Empowering Practitioners: Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings;

3) Translation to Real-World Technologies, Empowering Families: Creating scalable solutions and real-world technologies for parents to enhance their child’s mental and cognitive wellbeing at home.

We are looking for an experienced Research Assistant to work closely with a team of researchers, led by PI – Professor Victoria Leong, and to drive and fulfill research deliverables and milestones within a tight timeline. The postholder is expected to render research support to the Centre’s Director, Professor Victoria Leong and collaborators, on basic and translational projects with a focus on early childhood development.

Key Responsibilities:

• Perform participant recruitment, data collection and basic data analysis for main experimental studies
• Design and validate novel cognitive tasks for infants
• Assist with data coding of video and audio data for behavioural analysis of parent-infant social interaction and synchrony
• Assist with graduate and undergraduate research student projects
• Provide other administrative and research support to the PI where necessary

Job Requirements:

• Bachelors degree in Psychology, Neuroscience, Biomedical Engineering, Medical Sciences or related Technical and Computational fields;
• Experience with human psychological data collection, working with children (particularly infants) and families;
• Efficient, organised and self-motivated with the ability to work to tight deadlines;
• A good team player with strong interpersonal and communication skills
• Experience with EEG and/or eye-tracking data collection;
• Experience working in mental health settings;
• Skills in programming and/or computational analysis of data;
• Interest in parent-child social interaction and the development of early cognition

Candidates with a proven track-record in one or more of these areas are welcome to apply. We will begin reviewing applications from July 2024 onwards, until the position is filled, and regret to inform that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.