Total 2,238 Science / R&D / Research job vacancies

About Us:

Kangaroo Learning Centre Pte Ltd (“KLC”) was established in Singapore in May 2022 as part of the Fang Tian Education Group, a leading education institution founded in 2014 in China, which serves over 100,000 students annually.

We are one of Singapore’s fastest-growing math tuition centres. Out of 4000 students who participated in the Singapore Mathematical Olympiad (SMO), 118 students were invited for Rounds 2 and 51 are from our learning center. We are also the only centre in Singapore that offers parent sit-in during classes, a flexible refund policy, and a dual-teacher classroom model. Our unique approach and proven results have earned us a strong reputation among parents and students alike.

The centre offers a range of academic and enrichment programs for students of different ages, including primary and secondary school students, as well as those preparing for the PSLE, Math Olympiad, GCE ‘O’-Level and ‘A’-Level examinations.

At KLC, there's no office politics — we value direct, honest communication and a results-driven mindset. We’re not just looking for employees, but co-partners who are eager to grow with us, take initiative, and play an active role in building something meaningful together.

Job Overview:

At Kangaroo Learning Centre (KLC), our mission is to develop the best teachers in Singapore. We provide comprehensive training and a one-on-one mentorship program led by experienced senior teachers and management. Whether you're just starting out or looking to grow further, you'll receive the guidance, support, and structured development needed to thrive. Join us and build a rewarding teaching career with a clear path toward excellence, leadership, and long-term growth.

Job Responsibilities:

• Create an interactive, inquiry-based, and student-centred classroom environment that guides and motivates students to enjoy learning mathematics.
• Communicate closely with students, provide timely feedback to parents, and proactively support students in their learning.
• Participate in center branding activities such as YouTube content creation, article writing and sharing, etc.
• Familiarity with the question-setting patterns and trends of PSLE, O-Level, A-Level, and Math Olympiad competitions (e.g., RMO, APMOPS, NMOS, SMO) is an added advantage.
• Support and participate in any teaching-related tasks and team activities assigned by the centre.

Job Requirements:

• A bachelor’s degree or above from an accredited university (e.g., NUS, NTU, SMU, or equivalent).
• Candidates without experience are welcome to apply.
• Open to all nationalities (Sponsored for work passes)
• No prior teaching experience required — comprehensive training and mentorship will be provided.
• Responsible, adaptable, and willing to continuously learning.
• Excellent interpersonal, verbal, and written communication skills, with a positive, collaborative attitude and a strong passion for working closely with students, parents, and colleagues.
• Able to commit weekdays (inc. evenings) & weekends (Note: Most student classes are held on weekends)

What We Offer

• Performance-based salary reviews — high-performing teachers may receive salary of up to S$11,960 per month.
• Additional S$1,000 monthly Guaranteed Teaching Allowance will be paid during the first 3 months probationary period.
• The first year S$50,000 Guaranteed Annual Salary. We top up the balance if you didn’t get S$50,000 annual salary in the first year.
• Structured one-on-one mentorship and coaching.
• Comprehensive training — perfect for those starting their teaching career.
• Dual career progression paths provided — grow into either a senior teaching expert or move towards leadership and management roles.
• Opportunities to be involved in content creation, curriculum development, conducting activities with students and parents, and team leadership.

※日本語版が続きます。

About AIRoA

The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the world’s most powerful Vision-Language-Action (VLA) models.

What makes AIRoA unique is not only the unprecedented scale of real-world data and humanoid platforms, but also our commitment to making everything open and accessible. We are building a shared “robot data ecosystem” where datasets, trained models, and benchmarks are available to everyone. Researchers around the world will be able to evaluate their models on standardized humanoid robots through our open evaluation platform.

Job Description

• Develop Vision-Language models, or equivalent multimodal models, with a view toward applications in the robotics domain
• Fine-tune existing models, conduct evaluations, perform error analysis, and improve performance
• Build training pipelines using real-world data, design evaluation metrics, and operate iterative improvement cycles
• Prepare and preprocess data, and build training environments for image, video, language, and action data
• Research the latest trends in technologies and academic studies, select appropriate technologies, and incorporate findings into model improvements
• Establish training infrastructure, inference infrastructure, and experimental environments for real-world model deployment
• Collaborate with related teams such as software engineers and robotics engineers to define requirements, design validation plans, and drive development

AIRoAについて

AI Robot Association（AIRoA）は、画期的な取り組みを開始します。数百台のヒューマノイドロボットを用いて、ヒューマノイドロボットの操作データを100万時間分収集し、それを活用してVision-Language-Action（VLA）モデルを学習させます。

私たちの独自性は、実世界データとヒューマノイドプラットフォームの前例のない規模だけではなく、あらゆるものをオープンでアクセス可能にするというコミットメントにもあります。AIRoAはデータセット、学習済みモデル、ベンチマークを誰もが利用できる共有の「ロボット・データ・エコシステム」の構築を目指しています。実現が成功すれば、世界中の研究者が、私たちのオープン評価プラットフォームを通じて、標準化されたヒューマノイドロボット上で自らのモデルを評価できるようになることを期待しています。

業務内容

• ロボティクス領域への応用を見据えた Vision-Languageモデル、またはそれに準ずるマルチモーダルモデルの開発
• 既存モデルの fine-tuning、評価、エラー分析、性能改善
• 実データを用いた学習パイプライン構築、評価指標設計、改善サイクル運用
• 画像・動画・言語・行動データ等を対象としたデータ整備、前処理、学習環境構築
• 最新の研究・技術動向の調査、技術選定、およびモデル改善への反映
• モデルの実運用を見据えた学習基盤・推論基盤・実験環境の整備
• ソフトウェアエンジニア、ロボティクスエンジニア等の関連チームと連携した要件整理、検証設計、開発推進

※日本語版が続きます。

Required Qualifications

• Experience leading machine learning models from deployment to improvement and operation in a production service environment
• Experience implementing, training, and evaluating machine learning models using Python and PyTorch
• Hands-on experience fine-tuning Vision-Language models, or equivalent multimodal models
• Experience building training pipelines with real-world data, designing evaluations, conducting error analysis, and operating improvement loops
• Ability to understand the latest research and technology trends and translate them into model improvements and practical product applications

Preferred Qualifications

• Experience developing Vision-Language-Action (VLA) models or multimodal models for robotics
• Experience with robot control, ROS / ROS 2, C++, and real-world hardware evaluation
• Knowledge of or experience in sensor integration, actuator control, action generation, and low-level control
• Familiarity with training and evaluation using simulators, Sim2Real, and domain adaptation
• Experience building training and inference infrastructure in cloud environments such as AWS or GCP
• Experience with reproducible and operationally robust development practices such as Docker, CI/CD, and MLOps

必須要件

• 実サービス環境において、機械学習モデルの導入から改善・運用まで携わった経験
• Python / PyTorch を用いた MLモデルの実装・学習・評価 の経験
• Vision-Languageモデル、またはそれに準ずるマルチモーダルモデル の fine-tuning の実務経験
• 実データを用いた学習パイプライン構築、評価設計、エラー分析、改善ループ運用の経験
• 最新の研究・技術動向を理解し、モデル改善や実プロダクトへの応用に落とし込める能力

歓迎要件

• Vision-Language-Action（VLA）モデル、またはロボティクス向けマルチモーダルモデルの開発経験
• ロボット制御、ROS / ROS 2、C++、実機評価の経験
• センサ統合、アクチュエータ制御、行動生成、低レベル制御に関する知識または経験
• シミュレータを用いた学習・評価、Sim2Real、Domain Adaptationなどに関する知見
• AWS / GCP 等のクラウド環境を用いた学習・推論基盤の構築経験
• Docker、CI/CD、MLOps など再現性・運用性を意識した開発経験

●Work location

Tokyo Ryutsu Center A Bldg. AW4-5, 6-1-1 Heiwajima, Ota-ku, Tokyo 143-0006, Japan

A Low-Stress Teaching Career in a Supportive Centre Environment

MathVision has been operating in Singapore for 18 years, and in that time, we’ve taught over 20,000 students.

You’ll be joining a well-established organisation with a strong reputation and a long history of supporting teachers.

- All lessons are conducted 1-1 or 2-1 at a table (never in a classroom or in large groups)

- You’ll teach using a fully prepared curriculum with worksheets, notes, and question banks already created for you. So, you do not need to worry about creating your own content.

If you enjoy guiding students step-by-step and explaining ideas clearly, this role will feel natural, manageable, and fulfilling.

Why This Role Stands Out

• Low-Stress Teaching (No Classroom and No Discipline Issues)

You teach at a table, with 1 student or 2 students at a time.

• All Curriculum & Materials Provided

Every topic comes with ready-made worksheets, notes, and structured methods.

You focus on teaching, not preparing materials.

• Clear Training & Daily Support

We guide you through our teaching methods, and you work alongside 250 other full-time teachers who support one another every day.

• 18 Years of Experience, 20,000+ Students Taught

A long-standing organisation with deep experience and consistent demand year-round.

Simple Walk-In Interview

Visit us any day.

Flexible and provides generous leave benefits:

- Annual Leave

- Medical Leave

- Family Care Leave

- Birthday Leave

- Overtime

- Hospitalisation Leave

- Public Holidays

- Medical Insurance (General Physician, Specialist, Hospitalisation, Dental Plan)

• Develop and enhance pricing optimization models using statistical, machine learning, and Generative AI techniques.
• Analyze pricing elasticity to understand customer behavior and forecast business impact.
• Build, fine-tune, and deploy Generative AI/LLM-based models (e.g., for scenario simulation, automated insights, or decision support).
• Use AWS SageMaker for scalable model development, training, deployment, and monitoring.
• Apply Bayesian modeling approaches to quantify uncertainty, support strategic pricing decisions, and improve prediction robustness.
• Integrate GenAI tools/frameworks (e.g., LangChain, Hugging Face, prompt engineering, LLM-based automation) into pricing workflows.
• Work cross-functionally with engineering, product, and business teams to embed data-driven insights into operational processes.
• Communicate complex findings clearly to both technical and non-technical stakeholders.
• Continuously explore new GenAI and ML techniques to enhance solution accuracy, scalability, and automation.

Our third-party due diligence (VANTAGE) team assess our clients’ current, former or potential counterparties, looking for any issues that might pose a reputational or business risk to them, wherever they may be in the world. The work is compliance-focused and volume-driven.

The Associate Research Manager is responsible for the quality of VANTAGE work. S/he will oversee and guide Researchers to ensure they produce clear, analytical and exceptionally well-written reports which help our clients protect their integrity and reputation.

S/he will also support the Research Manager in training researchers and managing projects, leveraging internal and external resources in order to complete VANTAGE projects in a timely and effective manner. 

The successful candidate will have a strong knowledge of open-source intelligence and public record research, experience in writing and reviewing due diligence reports, people management skills and has excellent communication, writing and interpersonal skills.

People Management

• Manage a team of researchers and senior researchers
• Define, for each team member, objectives and responsibilities in line with the practice goals
• Conduct performance reviews
• Ensure well-being and professional development of staff
• Support the Research Manager in recruiting new researchers

Project management of third-party due diligence

• Ensure VANTAGE work is properly scoped, allocated to researchers, tracked and ultimately delivered on time and within budget
• Communicate directly with clients in order to clarify the scope of projects, address questions, and suggest potential additional avenues of research
• Review and approve (content and editorial) VANTAGE work, ensuring projects are of high quality and meet Clients’ specifications
• Liaise with and provide feedback to vendors and subcontractors, ensuring the quality of work they provide is high and adheres to our global delivery standards
• Engage with colleagues in the Business Intelligence team whenever VANTAGE work requires their input and collaboration

Regional research initiatives

• Assist Research Manager in training new researchers in the VANTAGE methodology and approach, ensuring new team members successfully complete the onboarding process
• Provide continual training and cascade updates to the VANTAGE methodology and approach
• Monitor quality of work and give feedback to researchers; motivate and guide researchers to ensure they are focused and directed effectively on operational and other aspects of the work
• Interact regularly with other Team Leads and Associate Research Managers to provide support and feedback on VANTAGE work
• Participate in discussions with other Team Leads and Associate Research Managers to provide insight on potential service/product improvement

• Education to degree level (minimum of a bachelor’s or equivalent experience)
• Full fluency in English written and spoken is essential

• Experience in writing, researching and reviewing/editing due diligence reports; demonstrated excellence in research, writing and editing in English
• Experience in managing projects, especially where the project team is spread across several locations
• At least 1-2 years’ experience in line management
• Strong knowledge of research techniques, databases, networks, online registers and archives and other OSINT research tools
• Experience influencing people across an organization, especially without direct reporting lines
• Proven ability to meet project deadlines

Preferred

• Knowledge of software-based case management solutions
• Experience in a compliance team in a financial institution or a corporate setting
• Knowledge of other languages and the socio-political environment in the region is an advantage
• Qualifications specific to financial crime or compliance would be an advantage

• Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer.
• We operate a discretionary global bonus scheme that incentivises, and rewards individuals based on company and individual performance.
• Control Risks supports hybrid working arrangements, wherever possible, that emphasise the value of in-person time together - in the office and with our clients - while continuing to support flexible and remote working.
• Working with our clients, from day one our people are given direct responsibility, career development and the opportunity to work collaboratively on fascinating projects in a rewarding and inclusive global environment.
• The Company is committed to further its diversity, inclusion and equity agenda and as an employee you have access to various business resource groups in the Company including the Company's LGBT+ network called MOSAIC, the Women's Network, and Synergy - a people network to celebrate and promote ethnic diversity at Control Risks

Control Risks is committed to a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

If you require any reasonable adjustments to be made in order to participate fully in the interview process, please let us know and we will be happy to accommodate your needs.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-Associate-in-Programme-Evaluation/32485-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant / Associate in Programme Evaluation

The Health Intervention and Policy Evaluation Research Centre (HIPER) (https://hiper.nus.edu.sg/) at the Saw Swee Hock School of Public Health (SSHSPH), NUS, is seeking to hire an individual with relevant skillset and experience to work in the area of programme evaluation and health services research.

The individual will play a critical role in anchoring the Centre’s Programme Evaluation Unit (Health Services) that will be servicing the Ministry of Health. The individual will contribute to the Centre’s research agenda to support programme evaluation and health services research in Singapore, gaining the opportunity to work with leading experts, policy makers, and programme implementers in the field. They will be expected to perform research administration, conduct formative and evaluation-driven research, and disseminate findings.

The role will require a highly motivated and capable team-player who can engage with incoming briefs and help shape and construct deliverables in a timely manner. As a researcher of the Centre, they will be presented with various opportunities to further develop their skills and experience to ensure personal growth in their career. The role benefits from exposure to many areas of public health ranging from evaluations of patient reported outcomes and experiences to evaluating national strategic plans. This will engage the individual in building professional networks across multiple agencies in Singapore and possibly overseas.

The successful candidate will join an active and supportive team that enjoys working together collaboratively, problem solving in creative and effective manner, and efficiently delivering theory-driven yet applied, practical outputs that will improve population health outcomes.

Requirements:
Applicants are expected to have a bachelor’s or master’s degree from an established University, preferably in public health, health sciences, social sciences, or statistics, with advanced quantitative research skills and good understanding of Singapore’s health system and landscape.

The grade of appointment will be accorded based on qualifications and work experience.

Applicants with following experiences and skills are preferred:
• Experience managing health services research and evaluation projects
• Experience conducting quantitative research, including design and collection of survey data, processing and analysis of large data sets, and other quantitative methods / data
• (optional) Experience conducting qualitative research, including design and conducting of focus groups and interviews, analysis and interpretation of qualitative data, and other qualitative methods / data
• Experience with overall project management, including ethics applications and institution administration processes
• Driven, collaborative, independent, and flexible
• Excellent written and verbal communication skills
• Well-organised and meticulous
• Strong proficiency in the use of Microsoft Office Applications
• Strong proficiency in the use of statistical software, preferably R or Stata, for statistical analyses
• (optional) Strong proficiency in the use qualitative data software, preferably Atlas.ti or nVivo, for data management and analysis
• Adept at learning new software packages and online digital systems

The appointed candidate will report directly to Dr. Ian Ang and be embedded in the wider team supervised by both Dr. Ian Ang and Dr. Zoe Hildon.

Our team at A*STAR Skin Research Labs (A*STAR SRL) is committed to advancing next generation biophotonics technologies to tackle key national healthcare challenges. We offer access to cutting-edge biophotonics tools, collaboration with leading clinicians and industry partners, and opportunities for meaningful clinical and commercial translation.

https://www.a-star.edu.sg/asrl/principal-investigators/dinish-u-s

We are currently seeking a Research Officer to contribute to the development of cutting-edge optical spectroscopy device platform with innovative AI-analytics for skin health/Medtech applications and its clinical translation.

Job scope/responsibilities:

• Interface and integrate embedded systems, sensors, and hardware components with optical systems for experimental and prototype platforms.
• Design, develop, and maintain LabVIEW-based software for instrument control, data acquisition and GUI development.
• Development of optical hardware and systems for spectroscopy & imaging
• Develop AI models for data analytics
• Testing of developed spectroscopy system in phantoms
• Take part in clinical study in hospitals (data collection and analysis) for the translation of the developed systems
• Present study concepts, experimental results, new findings to the management team and the research team members

Job requirements:

• Bachelor’s or master’s degree in Electrical engineering, Electronics, Mechatronics, Biomedical Engineering, Optical Engineering or in related field with minimum 1-2 years of relevant work experience
• Proven experience with LabVIEW programming, hardware interfacing (DAQs, microcontrollers) and GUI development.
• Hands-on experience with embedded systems, electronic design/debugging, and optical system integration.
• Familiar with AI models and experience on AI algorithm development for image analysis
• Proficiency in Matlab, Python Solid works, Zemax, and ANSYS is highly beneficial
• Strong communication, writing, and presentation skills.
• Meticulous and highly organized
• Industry working experience is advantageous

Contract Period: 11 months
Salary: $4000-$5000/month

Responsibilities
Project Management

• Support project operations to ensure quality deliverables. These activities include project coordination, vendor management, research materials review (e.g., questionnaire and code frame), survey platform testing, data review and validation.

Data Analysis & Insights

• Consolidate data from multiple sources into standardised formats, ensuring consistency and data integrity.
• Create effective visualisations using Excel (e.g. charts, pivot tables, dashboards) to deliver data-driven insights.
• Support test planning and test execution of enhancements to existing data visualisation and data pipelines

Requirements

• Possesses minimum a Bachelor's Degree in relevant field
• Minimum 2-3 years relevant experience in quantitative market research project management, data profiling and review.
• Proficient in Microsoft Office (Excel, Word, PowerPoint) - strong Excel skills for data management is essential.
• Programming experience in Python, SQL and databases
• Strong project management and time management skills; able to multi-task and manage deadlines efficiently.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Chloe Chew (R1768631)
ScienTec Consulting (ScienTec Personnel) - 11C5781

The Sales Representative will be responsible for promoting cord blood banking services, maintaining client relationships, and achieving sales targets.

Qualifications

• Degree/Diploma in Science related field

• Excellent communication and negotiation skills

• Knowledge of the healthcare industry and cord blood banking will be an advantage

• Ability to work independently and as part of a team

Interested candidates please send in your resume to:

valerie@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo’s laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases. Reference: www.adrianteolab.com; https://medicine.nus.edu.sg/bch/faculty/adrian-teo/.

Qualifications / Requirements:

· Excellent degree in Biological Science and Life Science disciplines or equivalent

· Deep commitment and interest in research, demonstrated from previous research experience

· Minimum 6 months prior research experience in the Biomedical field

· Experience with mammalian cell culture and molecular biology techniques

· Experience with animal work and surgical techniques

· Experience with mammalian stem cell work will be valued

· Excellent organizational and interpersonal skills

· Highly motivated, passion for science, committed to laboratory work and able to work flexible hours

· Ability to multitask, work independently and also as part of a team

· Excellent communication (verbal and written) and presentation skills

· Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued

Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of three referees to:

adrian_teo@a-star.edu.sg

Sales Engineer

Sector: Industrial / Engineering Sales
Employment Type: Permanent

This role focuses on business development and solution selling within the industrial sector. You will work with customers to understand their needs, present technical solutions, and grow long-term partnerships.

Key Responsibilities:

• Prospect and generate new business leads
• Build and maintain strong relationships with customers
• Conduct product demonstrations, seminars, and technical presentations
• Prepare sales proposals and negotiate contracts
• Achieve monthly and annual sales targets
• Meet weekly sales activity targets
• Collaborate with marketing on sales strategies and campaigns
• Monitor industry trends and provide market feedback
• Participate in trade shows and industry events

Requirements:
Degree in any of these courses can be considered :

• Engineering ( Mechanical / Electrical / Electronic )
• Biomedical Science /Life Science
• Lab related
  

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:
Whatsapp: https://wa.me/+6597430026  
Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122
Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Sales Engineer (Process Analytics)

Sector: Industrial / Engineering Sales
Employment Type: Permanent

This role focuses on business development and solution selling within the industrial sector. You will work with customers to understand their needs, present technical solutions, and grow long-term partnerships.

Key Responsibilities:

• Prospect and generate new business leads
• Build and maintain strong relationships with customers
• Conduct product demonstrations, seminars, and technical presentations
• Prepare sales proposals and negotiate contracts
• Achieve monthly and annual sales targets
• Meet weekly sales activity targets
• Collaborate with marketing on sales strategies and campaigns
• Monitor industry trends and provide market feedback
• Participate in trade shows and industry events

Requirements:
Degree in any of these courses can be considered :

• Engineering ( Mechanical / Electrical / Electronic )
• Biomedical Science /Life Science
• Lab related
  

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:
Whatsapp: https://wa.me/+6597430026  
Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122
Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

We are a tuition centre currently looking for dedicated part-time tutors to teach Secondary English and Secondary Mathematics.

Requirements:

• Relevant teaching experience

• Candidates with AEIS teaching experience will be preferred

• Responsible, patient, and passionate about teaching

• Able to provide targeted coaching based on students’ learning needs and weak areas

The Singapore Centre for 3D Printing (SC3DP) is a research centre conducting fundamental and applied research in all aspects related to additive manufacturing. Our vision is to be the world leader in 3D Printing and a wellspring of knowledge, delivering state of the art and innovative solutions to the industry. SC3DP is at the forefront of developing advanced technologies and high-impact research in areas such biomedical, construction, aerospace, marine and offshore. It is one of the very few research centres globally with multi-sector 3D printing expertise. SC3DP’s research achievements, high-level industry collaboration, comprehensive facilities and resources have positioned it as a leading hub for 3D printing research and innovation globally.

We are seeking a Research Fellow / Postdoctoral Researcher to join an 18-month NTU–industry project on AM-enabled optimisation of drag-reduction devices for maritime vessels. The successful candidate will design and prototype test articles, conduct wind-tunnel-based experimental fluid mechanics studies, support CFD-driven design refinement, and analyse boundary-layer and drag-reduction performance data. The role involves close collaboration with academic and industry partners and contribution to technical reporting, technology translation and implementation-ready design guidelines.

Responsibilities:

• Plan, design and execute experimental investigation of boundary-layer behaviour, near-wall flow structures and drag-reduction performance on solid models.

• Set up, operate and optimise wind tunnel experiments and associated diagnostics, including force/pressure measurements, flow visualisation and other near-wall flow measurement techniques as appropriate.

• Develop CAD models for energy-saving device (ESD) geometries, experimental fixtures and supporting apparatus.

• Coordinate and support additive manufacturing-based prototyping of ESD concepts and test articles, including dimensional and surface-quality checks.

• Conduct CFD studies using commercial solvers to screen design variants, interpret flow mechanisms and guide experimental iterations.

• Develop scripts and workflows for experiment automation, data acquisition, post-processing and quantitative analysis using Python, MATLAB and/or LabVIEW.

• Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines for vessel-specific optimisation.

• Prepare technical reports, presentations, technical disclosures/IP inputs and other project documentation for internal, academic and industry stakeholders.

• Work closely with the PI and industry partners to support milestone delivery, downstream validation and translational activities.

• Contribute to laboratory safety, equipment upkeep, documentation standards and mentoring of junior researchers and/or graduate students.

Requirements:

• PhD in Mechanical Engineering, Aerospace Engineering or related field, with postdoctoral or equivalent research experience in experimental fluid mechanics or aerodynamics.

• Strong hands-on expertise in wind tunnel testing and flow diagnostics such as PIV, high-speed imaging, schlieren and pressure measurement.

• Experience with CFD using commercial solvers, Python/MATLAB-based data analysis, experiment automation, and CAD modelling.

• Demonstrated publication track record, strong communication skills, and the ability to work independently while managing multiple research tasks.

• Experience in wall-bounded flows, boundary layers, drag reduction, and mentoring junior researchers will be highly advantageous.

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