Total 2,514 Science / R&D / Research job vacancies

• Up to $7,500 basic + Variable bonus.

• Permanent position/ 5 work days

• Participate in the construction new design and building project at Jurong east area.

 Our client is a reputable MNC and leading A1 main contractors diverse in civil and large-scale infrastructure projects.

Job Responsibilities:

• Report to the Project Manager

• Support project and construction management for building projects

• Develop and review architectural and engineering drawings to ensure compliance with specifications and regulations

• Liaise with architects, engineers, and other technical teams to ensure design requirements are met

• Oversee construction activities, including planning, implementation, and monitoring of work schedules in accordance with the master and detailed work programme

• Liaise with consultants on technical issues and coordinate with subcontractors on site activities

• Prepare reports and method statements

• Monitor ongoing construction activities

Qualifications:

• Bachelor’s Degree in Civil Engineering or Building

• Experience in large-scale building construction projects preferred

  Other Information:
  To apply please click on the APPLY NOW button or email your resume to search84@searchindex.com.sg with the following details inside your resume 
  • Reason for leaving each past & current employment
  • Salary drawn for each past & current employment
  • Expected Salary
  • Earliest availability date
  We regret only shortlisted candidates will be notified.  
  Lionel Cheow
  EA License | 14C7092
  EA Registration Number | R1105005

Senior Research Fellow in Computational Modelling of Smart Knitted Textiles

We seek a Senior Research Fellow (3–5 years postdoctoral experience) to join a multidisciplinary team working on computational modelling of knitted textile structures for energy harvesting applications. The postholder will develop and apply advanced modelling and data-driven methods to establish quantitative links between textile architecture and functional performance, working in close collaboration with experimental colleagues.

Key Responsibilities

• Develop and validate computational models of knitted fabric structures, capturing the mechanical behaviour of complex knit architectures under various loading conditions.
• Establish quantitative relationships between textile structural parameters — such as stitch geometry, yarn properties, and knit pattern — and functional energy harvesting performance.
• Apply data-driven and machine learning techniques to accelerate model-based design and reduce reliance on physical prototyping.
• Validate model predictions against experimental data generated by collaborating groups and work closely with fabrication teams to inform design recommendations.
• Contribute to the broader research programme through independent scholarly initiative and collaboration with partner groups.
• Lead dissemination through high-impact journal publications and conference presentations.

Requirements

• PhD in mechanical engineering, materials science, computational mechanics, or a closely related discipline.
• 3–5 years of postdoctoral research experience with a strong publication record.
• Expertise in finite element modelling; experience with textile, fibre, or soft material mechanics is highly desirable.
• Familiarity with energy harvesting mechanisms (e.g., piezoelectric, triboelectric, or thermoelectric) is an advantage.
• Experience with machine learning or data-driven modelling methods is desirable.
• Ability to work independently and provide leadership to junior researchers and graduate students within an interdisciplinary team.
• Excellent written and oral communication skills in English.

About the Position

This is a full-time, 2-year position embedded in a flagship initiative on wearable-embedded embodied AI for healthy ageing and rehabilitation. The postholder will join tripartite collaboration team spanning advanced fiber design, knitting design and advanced signal processing expertise.

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Head of Science (Primary) to build and subsequently lead a high-quality P3 to P6 Science programme.

This role goes beyond teaching. You will shape the programme structure, strengthen curriculum and delivery, and later on, build teaching capability to ensure consistent student outcomes across centres.

Key Responsibilities

• Oversee and refine the P3–P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4–6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 5–8 years of teaching experience in primary science
• Clear and structured teaching style with strong concept explanation
• Strong track record of helping students improve and perform
• Experience in curriculum development, mentoring, or academic leadership is advantageous
• Someone who has taken initiative to improve teaching practices, curriculum, or student outcomes beyond their own classroom
• Comfortable operating in a programme-building environment and taking ownership

Why Join us:

• Opportunity to shape and lead a growing science programme
• Autonomy to implement ideas and build systems
• Small class sizes (up to 12) with focus on quality teaching

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

The Restaurant Manager is responsible for overseeing the efficient running and profitability of the restaurant and for managing employees.

He/she needs to be able to lead as well as work as part of a team.

The job reports to the Vice-president, Area is accountable for average sales of S$250k per month depending on the size of the restaurant. Job Responsibilities:

•Daily roll call with employees to drive operations effectiveness and efficiency via cleanliness of the restaurant, accurate food order taking, servicing the customer, promotions etc •Proactively communicate to employees on KPIs on sales, service and food quality so that together each achieve more (TEAM) •Be fully knowledgeable with the restaurant operation and to efficiently manage the operation of all shifts •Communicate with Chef on guests’ requirements, and maintain a close and professional working relationship with the kitchen at all times •Maintain safety requirements at the restaurant •Ensuring compliance with licensing, hygiene and health and safety legislation/guidelines •Managing budgets • Manage stock levels of food and other related utensils and cutleries •Handle customers’ compliments and complaints promptly

•Deliver and present manpower and sales reports

•Suggest and recommend improvements to the running of the restaurant

•Administer and action daily mails, guest report lists, staff rosters, operations reporting and other paperwork promptly and accurately

•Be aware of the current business environment and to bring in sound ideas to increase sales, decrease spending, up selling orders and maximising guests spending where possible

•Communicate effectively with the other departments and colleagues, suppliers and contractors to ensure that all information is communicated clearly and follow up actions are coordinated well

•Assist in recruitment needs

•Responsible for induction training and on the job training of new employees and also newly promoted staff

•Appraise employees to reward and punish fairly

•Understand the need for training and development of employees and to take a proactive approach in training employees especially mandatory training like Basic Food Hygiene and Safety

Job Requirements:

•Preferably with Degree/Diploma in Hospitality related studies or with WSQ Certificate in F&B Operations / F&B Supervision / F&B Management

•Passion for excellent customer service

•Able to lead a team in a fast paced and demanding environment

•Possess good business acumen, results driven and highly organised

•Excellent interpersonal and communication skills

Interested candidates, please forward your detailed resume as well reason for leaving (past and present employment, all last drawn salary please email to hrta@res.com.sg)

Position Purpose

• Provide guidance and day-to-day training to staff within assigned area

• Carry out day-to-day operations in managing floor control to maintain & improve quality, service cleanliness & ambience

• Manage and coordinate activities with people, products and equipment to maximize sales and profit

Responsibilities

Restaurant Operations

• Lead a team of service staff within assigned unit by allocating tasks and roles for individuals in the service team

• Check readiness of restaurant for service day and brief service crew on staffing roster for service day

• Manage customer flow and seating arrangement

• Oversee the service rendered by the team to ensure it meets the quality, service, cleanliness and values standards and to address lapses in service quality when necessary

• Manage cash floats, audit rolls, and provide technical troubleshoot for cash register errors when necessary

• Ensure documentation of all cash shortage and surplus in record book and to tally payment collection

Restaurant Management & Planning

• Act as point of escalation for service crew regarding service issues

• Resolve day-to-day operation issues as and when it occurs and to provide support as necessary to ensure service crew are able to carry out assigned task

• Lead investigation and resolution of all complex customer complaints and/or feedback in a timely and efficient manner

Quality Assurance & Control

• Enforce restaurant quality, service, cleanliness and value standards

• Monitor operations to ensure compliance with all safety procedures and guidelines in the restaurant

• Implement corrective actions to resolve unsafe and/or non-compliant conditions and behaviors regarding personal and food safety

People Management

• Conduct induction for new hires to provide them with the necessary skills and information to carry out roles and functions

• Provide training to encourage role rotation amongst service staff

• Train and monitor staff in the company SOPs (standard operating procedures)

• Ensure workplace safety practicesPosition Purpose

• Provide guidance and day-to-day training to staff within assigned area

• Carry out day-to-day operations in managing floor control to maintain & improve quality, service cleanliness & ambience

• Manage and coordinate activities with people, products and equipment to maximize sales and profit.

Position Purpose

• Provide guidance and day-to-day training to staff within assigned area
• Carry out day-to-day operations in managing floor control to maintain & improve quality, service cleanliness & ambience
• Manage and coordinate activities with people, products and equipment to maximize sales and profitResponsibilities

Restaurant Operations

• Lead a team of service staff within assigned unit by allocating tasks and roles for individuals in the service team
• Check readiness of restaurant for service day and brief service crew on staffing roster for service day
• Manage customer flow and seating arrangement
• Oversee the service rendered by the team to ensure it meets the quality, service, cleanliness and values standards and to address lapses in service quality when necessary
• Manage cash floats, audit rolls, and provide technical troubleshoot for cash register errors when necessary
• Ensure documentation of all cash shortage and surplus in record book and to tally payment collection

Restaurant Management & Planning

• Act as point of escalation for service crew regarding service issues
• Resolve day-to-day operation issues as and when it occurs and to provide support as necessary to ensure service crew are able to carry out assigned task
• Lead investigation and resolution of all complex customer complaints and/or feedback in a timely and efficient manner

Quality Assurance & Control

• Enforce restaurant quality, service, cleanliness and value standards
• Monitor operations to ensure compliance with all safety procedures and guidelines in the restaurant
• Implement corrective actions to resolve unsafe and/or non-compliant conditions and behaviors regarding personal and food safety

People Management

• Conduct induction for new hires to provide them with the necessary skills and information to carry out roles and functions
• Provide training to encourage role rotation amongst service staff
• Train and monitor staff in the company SOPs (standard operating procedures)
• Ensure workplace safety practices

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

The candidate will be responsible for conducting research on Embodied Perception and Reasoning algorithms. Successful candidate will be part of an active research team led by Prof Bin Zhu from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

Candidate's core responsibilities are:

• Develop embodied perception algorithms for visual, spatial, and semantic understanding of dynamic environments.
• Design and implement reasoning models that enable robotic manipulation tasks.
• Conduct experiments for both simulated and real-world Embodied Agent Evaluation.
• Produce high-quality research publications in top-tier conferences and journals.
• Other duties as assigned.

• A PhD in Computer Science, Information Technology, Information Systems, or a closely related discipline from an institution of higher learning.
• At least two years of relevant research experience in multimodal learning, computer vision, or embodied AI.
• A strong publication record in top-tier conferences or journals in computer vision, multimedia, and artificial intelligence.
• Demonstrated expertise and professional experience in deep learning, multimodal learning, or embodied perceptionand reasoning.
• Applicants with strong research publications in computer vision or embodied AI will be given preference.
• Self-motivated, proactive, and able to work both independently and collaboratively within a research team.

#LI-JN2

This is an exciting opportunity for a skilled Research Fellow to join the team at The Griffith Institute for Tourism (GIFT). We are seeking a Research Fellow to assist the lead researchers on the Australian Research Council funded project “Extreme Heat in Cities: Co-Developing Just Adaptation for Urban Tourism”.

As a Research Fellow, you’ll be part of an interdisciplinary team across climate change, tourism and health. Key responsibilities include:

• Analyse high-resolution NASA climate data (available open access) to create downscaled climate models for the global Top 100 tourism cities. Calculate heat risk thresholds for visitors and different future time horizons.
• Process local daily climate data from the Bureau of Meteorology and work with remote sensing-derived city heat maps (e.g. using Landsat 8 satellite data) to add spatial layers for tourism activity.
• Under supervision, mine public health data to identify patterns of visitor-related health service usage, spatially and temporally.
• Integrate health data with other relevant datasets, such as spatial heat maps, visitor statistics and other relevant factors. 
• Contribute to developing a predictive model for future tourism-induced strains on the health system.
• Produce and contribute to academic publications and reports arising from the research.

What we can offer
This is a fixed- term (12 month) position, with the possibility of extension for a further year, primarily based at Griffith University, Gold Coast. As Griffith is a multi-campus University you may be required to work across other campus locations.

Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples.

Salary range
Research Fellow level 1 salary range $97,705 - $107,420 per annum plus 17% superannuation. Total remuneration range $107,298 - 125,682 per annum. 

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-School-of-Computing/32553-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

We invite applications for a Research Assistant position focused on AI-driven Identity & Access Management (IAM) and Cybersecurity. The successful candidate will work on advanced AI systems for identity security, addressing challenges in anomaly detection, adaptive authentication, and explainable threat intelligence. 

Key Responsibilities:

• Design and develop AI-driven models for identity security and access-control analytics.
• Build generative modeling pipelines (e.g., GANs, diffusion models) to synthesize realistic malicious or anomalous login behaviors for robust model training.
• Implement anomaly detection and adaptive decision systems for real-time IAM defense.
• Engineer edge-native AI modules for adaptive multi-factor authentication and token validation on resource-constrained platforms.
• Develop explainable AI pipelines, including retrieval-augmented generation (RAG)–based systems that justify access decisions.
• Integrate models into end-to-end systems spanning edge devices, containers, and cloud platforms.
• Conduct experimental evaluation, benchmarking, and system-level testing.
• Contribute to research publications, technical reports, and prototype deployments.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Strong programming proficiency in Python and C/C++.
• Solid understanding of machine learning, data analytics, and system security fundamentals.
• Experience or strong interest in cybersecurity, IAM, or authentication systems.
• Experience with generative AI techniques (GANs, diffusion models) for data synthesis.
• Familiarity with edge AI deployment and optimization (e.g., NVIDIA Jetson, ARM platforms).
• Experience with containerized or cloud-native systems (Docker, Kubernetes).
• Knowledge of model optimization and deployment frameworks (TensorRT, ONNX).
• Exposure to cloud platforms such as Google Cloud Platform (Vertex AI, BigQuery).
• Interest in explainable AI, security analytics, or AI-assisted decision support systems.
• Familiarity with tabular data modeling, anomaly detection, or security-log analysis.
• Experience with Linux environments and version control tools (e.g., Git).
• Strong analytical thinking, problem-solving skills, and research motivation

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28MaterialsChemistryEngineering%29/32557-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a passionate and self-motivated postdoctoral research fellow to join our multidisciplinary team working on the development of novel synthetic and bio-based polymers and composite materials for environmental sustainability applications. The successful candidate will be expected to be part of the research team under the supervision of the Principal Investigator (PI) to work on:

• Developing materials and technologies for resource recovery from seawater desalination processes.
• Conducting research and experiments for materials synthesis, fabrication, testing and characterization.
• Writing and preparing progress reports, manuscripts, and proposals related to the propjets.
• Assisting the PI in guiding junior researchers, graduate students, and undergraduate students.
• Assisting the PI in managing projects and laboratories and other ad hoc tasks that may be assigned by the PI.

Qualifications

• A PhD degree in Materials, Chemistry, Chemical Engineering, Environmental Engineering, Bioengineering, or any other related field, obtained from a reputable university.
• Fresh PhD without postdoctoral working experience is welcomed, but showing evidence of excellent research accomplishments.
• Excellent research publication records in reputable international journals.
• Strong background in biomass and bio-based polymers, hydrogels, and composite resins.
• Good written and spoken English communication skills.
• Being a good team player across multiple disciplines.

What you'll be doing

• Ensure routine inspection, calibration, and maintenance of laboratory equipment in accordance with quality control and regulatory standards.

• Perform quality control checks, verify laboratory results, and resolve discrepancies in test outputs.

• Maintain accurate documentation for equipment calibration, preventive maintenance, and validation records.

• Manage inventory of laboratory equipment, consumables, reagents, and supplies to support ongoing study and operational needs.

• Ensure proper handling, storage, and usage of laboratory chemicals and reagents.

• Support planning of study-specific laboratory equipment requirements.

• Work closely with internal lab systems and operations teams to ensure equipment and systems remain validated and compliant prior to use in studies.

• Liaise with external vendors for equipment servicing, maintenance, and supply management.

• Collaborate with clinical research teams and external partners (e.g. contract laboratories) to ensure smooth execution of study activities.

• Support training of new clinical research technologists and assist in developing training materials and SOPs.

• Foster effective communication and teamwork within the laboratory operations team.

What we're looking for

• Diploma in Sciences

• Experience in clinical research laboratory operations, biomedical science, or medical laboratory technology

• Familiarity with laboratory equipment calibration, maintenance, and quality control processes

• Understanding of regulatory requirements such as ICH-GCP and laboratory quality standards

• Experience in clinical trial or regulated laboratory environments preferred

• Strong attention to detail and documentation accuracy

• Ability to work with multiple stakeholders including internal teams and external vendors

• Good communication and teamwork skills

• Ability to work in a structured, compliance-driven environment

Interested applicants, kindly furnish us with your full and detailed resume in MS Words format and click "Apply Now" button.

We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities. 

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/32554-en_GB/?st=B4F0BB890E1B2C104B997DC78512E046CAC5DE27

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Toh Kim Chuan on methods for convex relaxations of polynomial optimization under a project on "Methods for nonsmooth nonconvex optimization".

The main responsibilities of the position include the followings: 
•    Conduct independent research on the design, analysis and implementation of efficient and robust algorithms for large-scale structured polynomial optimization problems.
•    Conduct simulations and experiments to validate established theoretical results and evaluate the performance of the proposed algorithms.
•    Prepare technical reports, research papers, and presentations for academic conferences and journals.
•    Work closely with faculty members, postdocs, and PhD students on research projects.

Qualifications / Discipline:  
•    Graduating PhD or recent PhD holder specializing in computational optimization. 

Skills: 
•    Advanced knowledge on optimization theory and algorithms at PhD level is required, especially strong theoretical and numerical understanding of advanced polynomial optimization algorithms for matrix polynomial optimization 
problems.
•    Proficiency in Python or Julia, Matlab for algorithmic implementation. 
•    Good academic writing and presentation skills for publishing research findings.
•    Ability to work independently and collaboratively in an interdisciplinary research environment.

Experience:   
•    At least 2 years of independent research experience in the analysis of convex relaxations for polynomial optimization problems.
•    Demonstrated research and intellectual ability, such as having published research papers in premier optimization journals related to the job requirements.  

The candidate will be involved in IC product development and verification which could include one or more of the following areas:

• Analog circuit design from architecture to transistor level, post extraction verification and design modifications to meet requirements
• Digital logic design, verilog coding, logic synthesis, both RTL and gate level verification, formal verification and static timing analysis as well as place and routing.
• Full chip analog or digital mixed signal verification
• Layout high speed, high performance analog/mixed-signal custom integrated circuits
• Product validation including post silicon validation planning, execution, and post silicon issue debugging

Requirements

• Bachelor of Science degree in Electrical Engineering (or related field) +8 years of analog/mixed signal IC design, verification, layout and validation experience or
• Master of Science degree in Electrical Engineering (or related field) +6 years of analog/mixed signal IC design, verification, layout and validation experience or
• PhD in Electrical Engineering (or related field) +3 years of analog/mixed signal IC design, verification, layout and validation experience
• Proficiency in English

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a battery scientist to develop battery management system.

Key Responsibilities:

• Electrochemical process on interface phenomena

• Battery testing under different conditions

• Simulation of scaled up process.

• Interface with machine learning group on data base set up

• Battery safety testing

Job Requirements:

• Candidates with strong background in Materials Chemistry/Physical Chemistry.

• Experience with energy storage system or electrochemical system (Batteries)

• Ph.D in chemistry/ Materials Science/physics

• encourage initiating activities on battery development, devising, and analytic process

• experience on machine learning will be preferred 

• Good oral and written communication skills.

• Candidate with strong publication/patent records will be preferred

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