Total 2,530 Science / R&D / Research job vacancies

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. 

JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.

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EA Personnel: Ryan Tan En Long

EA Personnel Reg No: R25158265

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.

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

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools,.
• Write and publish research papers and present them to reputable academic conferencesd.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor degree in Information Systems / Computer Science / Information Technology / Security /Informatics Engineering / Software Engineering.
• Publication of at least a first-authored paper in a top AI or software engineering or cybersecurity conferences/journals (CORE A*).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A*conference / journal in the field of AI or software engineering or cybersecurity.

#LI-JN2

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an Office Administrative Assistant. This role is based in Singapore, reporting to our SG Office Manager. In this role you will be responsible for supporting all aspects of our growing team of traders, researchers, and technologists. The role will suit an individual who is self-motivated and is able to adopt a methodical, logical, and creative approach to new challenges.

Responsibilities:

• Greeting visitors
• Managing meeting room bookings
• Answering and directing phone calls
• Ordering office and pantry supplies
• Upkeep of office tidiness
• Booking and managing travel arrangements
• Coordinating onboarding setup for new hires
• Assisting overseas visitors (seating, access, etc)
• Coordinating office meals
• Assisting in special events (office outings, trainings, etc)
• Assisting in office renovation projects

Requirements:

• 10-15 years of experience in administrative support or similar roles in a large and established organisation  
• Excellent organisational and time management skills, with the ability to multitask and prioritise effectively  
• Strong written and verbal communication skills 
• Proficient in Microsoft Office Suite and other relevant software tools 
• Ability to handle confidential information with integrity and discretion 
• Self-motivated, with the ability to work independently with minimal supervision  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

R&D Specialist 

• Location: Tuas, Company Transport / Transport Allowance $120 if candidate possess own vehicle to work
• Basic: $5000 to $5500
• Working hours: Monday to Friday (8am to 5pm)

Requirements

· Ph.D in Chemistry or Chemical Engineering with more than 5 years of experiences in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry.

Responsibilities

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.
• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.
• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.
• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).
• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.
• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.
• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.
• Support evaluation and development of handling procedures for high-risk and high-value waste streams.
• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.
• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

Interested applicants can also send your resume to WA:+65 83472904 (Mr Samuel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

Samuel Siaw

The Supreme HR Advisory Pte Ltd

EA No: 14C7279

Reg No: R2412474

Job Description & Responsibilities:

• Design, develop, and test New CNC controller software and hardware.
• Select New CNC Controller from different makers.
• Integrate CNC controllers with various machine tools and equipment.
• Develop and optimize motion control algorithms for precision machining.
• Collaborate with cross-functional teams to ensure seamless integration and functionality.
• Troubleshoot and resolve issues related to CNC controllers and machine performance.
• Ensure compliance with industry standards and safety regulations.

Job Requirements:

• Minimum Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or relevant discipline.
• At least 5 years of experience in CNC controller development, programming, and integration.
• Experience with motion control, servo systems, and feedback devices.
• Hands‑on experience using NC cycles and providing technical solutions to users.
• Basic knowledge of electrical design and a solid understanding of electrical circuits.
• Specialized training or certification in CNC controller development is an advantage.
• Experience working with multi‑axis CNC machines and advanced motion control algorithms.
• Prior experience developing user interfaces for CNC controllers.
• Proficiency in programming languages such as C/C++/C# and PLC programming.
• Strong understanding of CNC machine architecture and control systems.
• Familiarity with communication protocols (e.g., Ethernet IP, Modbus).
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork skills.
• Ability to work independently and collaboratively in a fast‑paced environment.
• Comfortable working in a manufacturing environment and performing hands‑on tasks when required
• Work experience with Fanuc controllers (both PLC and CNC) would be an added advantage.