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 Food Science & Technology at the National University of Singapore (NUS) invites applications for Instructor position.

Roles and responsibilities of the position include:
a) Developing and conducting lab modules for New Product Development and Food Engineering related modules.
b) Conduct some lecture and/or tutorial for the modules.
c) Perform trial runs, time tabling coordinating, TAs allocation, arranging training plans etc.
d) Assessment and report marking.
e) Serving as Instructor for other FST modules (such as running FST1101 tutorials) whenever needed.
f) developing /organizing summer training programme or short lab training courses to public if need arises.
g) Participate in other department activities.

What we can offer: competitive salary that commensurate with experience plus CPF, annual leave & performance bonus.
Contract term: Three years in first instance, renewable.

Qualifications

PhD degree in food science and technology with broad set of hands-on experimental skills related to food chemistry, food processing, food analysis, and cell and molecular biology. Strong interpersonal skills and passionate in teaching.

BSc degree with high distinction and strong teaching experience may apply.

Please apply here: https://talent.sage.hr/jobs/8e073ef4-d42b-4457-a8d7-d0d491627bad

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Wet Lab Specialists with the following backgrounds:

- Biomedical sensor design and fabrication

- Electrochemistry

- Biomedical Engineering

- Wet lab experience with regard to protein and small molecule assays

- Translational and regulatory expertise in medical devices

As a Wet Lab Specialist, the successful candidate will contribute to the programme by developing novel biosensors that are secure by design, and work toward translating the devices into clinical practice to drive the future of personalised medicine.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Job Description

· Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Structural assessment of the test models as well as other support to be used in the experimental setup.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models’ behaviour and response by use of appropriate sensors like load cells or custom strain gauges.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

· Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Structural response and health monitoring of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

· Any other duties as assigned by supervisor.

Job Requirements

· Bachelor’s/ Master’s Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

· Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

- Offshore engineering, marine engineering, marine structures, hydrodynamics, naval architecture.

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

- CAD software such as SolidWorks, Rhino, AutoCAD

- Engineering tools such as SESAM and ABAQUS

- Programming codes such as Python, MATLAB, or equivalent.

· Model experiments in wave flumes, wave tank or ocean basin.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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.

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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Primary /Secondary

Subject: English

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Primary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit at least 6 months or till the end of academic year.

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Project Overview

We are seeking a Postdoctoral Associate, to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Requirements

-Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Computer Science (e.g., with a focus on Human-Computer Interaction), Management, Organizational Behavior, Philosophy, Journalism, or other related fields by the start of the appointment.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

-Strong publication record in top-tier conferences and journals.

-Familiarity with statistical data analysis tools and techniques.

-Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

We are looking for a motivated bioinformatics specialist who is keen on studying how microbes contribute to common skin diseases such as eczema and acne. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. We have extensive experience in metagenomic analysis in clinically or commercially important contexts such as uncovering distinct microbial communities in households affected by paediatric eczema (PMID: 35318044) and revealing the microbial basis of body odour in teenagers (PMID: 30497517). We are now focusing on applying various -omics capabilities to larger sized disease cohorts to understand how microbial pathways and biomarkers change with disease progression and treatment. The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Project findings will have direct applications to ongoing and new microbiome research projects in the lab, particularly in skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world. The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• Bachelors degree in Computational Biology, Computer Science, Data Science, or a related field.
• Strong analytical and programming skills (Python, R, UNIX environment etc).
• Familiarity with Bioinformatics tools for RNA seq analysis and pipeline building will be useful.
• Interest in exploring biological questions and some course work in statistics is preferable.

How To Apply: Please e-mail your curriculum vitae and contact details of referees to Niranjan Nagarajan ([email protected]) and Minghao Chia ([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.

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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 Centre on Asia and Globalisation (CAG) at the Lee Kuan Yew School of Public Policy, National University of Singapore (NUS) invites applications for the position of Visiting Senior Research Fellow. This visiting appointment seeks candidates with an established academic record and an international reputation in the fields of economic, social, and political issues on China-India relations.

The candidate will contribute to extending and enhancing CAG’s research on China-India relations, including re-establishing workshops and dialogues on China-India relations. The successful candidate will also be working with the Asia Research Institute of NUS to prepare an Encyclopedia of China-India relations since antiquity.

The candidate will conduct independent, in-depth, and publishable research on issues in his/her expertise and contribute to the Centre’s agenda on international relations in general, and China-India relations in particular.

The candidate is expected to initiate and organize research projects, workshops, conferences, and other research events. S/he should be able to reach out to publishers and actively engage with academia, policy practitioners, and media and business leaders, as well as apply for external grants.

In addition, s/he is expected to play a role in coordinating with other researchers and contribute to the broader intellectual life of the centre.

Qualifications

• A distinguished academic record with a PhD in a relevant field.
• An international reputation for excellence in research on economic, social, and political issues on China-India relations.
• A strong publication record in books and reputable academic journals.
• Demonstrated ability to engage with diverse audiences and contribute to academic and public discourse.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including proinflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on a couple of these projects, which involves 1. Design and development of an innovative strategy (RNAi-based) for therapeutic intervention of the target gene. 2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex vivo and in vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous.
• Highly motivated.
• Willingness and ability to develop new skills.
• Excellent oral, written communication and organizational skills.
• Ability to work independently as well as collaboratively in a team environment.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including proinflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on a couple of these projects, which involves 1. Design and development of an innovative strategy (RNAi-based) for therapeutic intervention of the target gene. 2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex vivo and in vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous
• Highly motivated.
• Willingness and ability to develop new skills.
• Excellent oral, written communication and organizational skills.
• Ability to work independently as well as collaboratively in a team environment.

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

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.

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year (November 2025

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Open to all (including A levels, JC, University Students and Graduates!)

Earn from $50 – $75 per hour, with bonus up to $1200!

*Posting on behalf of Minsitry of Science