Job Opportunity: Sample Coordinator

Company: Food mnc
Location: Tuas

Working Hours:

• Monday to Friday, 8:30 AM – 5:30 PM

Salary:

• $2,000 fixed

Duration: 6 months

Key Responsibilities:

1. Oil Inventory Management:Maintain oil inventory in the fragrance sample compactor.
   Arrange oils systematically, dispose of expired oils monthly, and generate a report for the Sample Library Manager.
   Input replenishment sample requests into PACE/SAP.
   
2. Sample Coordination:Track oil sample movements between the Sample Library, Sample Production Team, Application Lab, and Creation Lab.
   Update the oil inventory daily.
   
3. Sample Request Processing:Receive sample requests in PACE.
   If the oil is in the library, forward it to the Sample Production Team for repacking.
   If not, generate requests in SAP and release Process Orders into SRMS.
   
4. Dispatch Coordination:Liaise with dispatch service providers and QC sample riders for sample deliveries.
   Ensure inventory is updated post-delivery.
   
5. New Wins/First Production Management:Coordinate with the Creation Department for formula access and reference samples.
   Arrange raw material requests if unavailable in the inventory system.
   Post-production, follow up with QC and dispatch services for delivery to customers.
   
6. Sample Compounding:Use the Fricke automated dosing machine or manual compounding to create fragrance samples.
   

How to Apply:
Please send your resume to:

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.
• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.
• Write, publish and disseminate results, including give research presentations at meetings.
• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers
• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.
• Represent the research group at external meetings / seminars, either with other members of the group or alone.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory
• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Ageing is the key risk factor for heart disease in our older population. The study of ageing in heart disease encompasses the whole spectrum across research to clinical domains. The team at National Heart Centre Singapore and National Heart Research Institute Singapore strives to align research activities according to goals of Singapore’s biomedical and healthcare initiatives. This will include preventive and clinical translational strategies with direct impact on population and clinical patients.

We are seeking motivated individual to support our team’s work in heart ageing. The candidate’s involvement will include organising and conducting research studies under the supervision of the Principal Investigator or designate. Scholarly work such as writing and reviewing research papers and presentation of research outcomes are expected. Opportunities to conceptualise independent research projects for career growth will be encouraged. Team-players are preferred as there will be opportunities to guide and mentor students and research assistants.

Requirements:

• PhD or MSc comparable qualifications with relevant research experience
• Good organisational skills
• A strong team player

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for experienced individuals with a strong background in thermal energy systems, computational modelling, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced thermal energy storage solutions and computational techniques, focusing on discovering novel materials and optimizing energy systems through CFD and machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

• Develop new materials for energy storage and thermal management.

• Lead in experimental work, design and conduct experiments to validate the discovery.

• Assist or conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development

• Assist or conduct artificial intelligence (AI) techniques for material discovery and/or device design

• Conduct other required works by the PI

• Write scientific papers/technology/reports and other work-related documents

Key Responsibilities:

• Develop new energy storage materials.
• Design experimental facilities and conduct experiments for energy storage technologies.

Job Requirements:

• PhD degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

We regret to inform 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 successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.

Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Key Responsibilities:

• To perform the pioneer research in exploring visual signal representation towards machine uses.
• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.
• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.
• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.
• To formulate a comprehensive visual feature codec for machine uses.
• To set up and analyze experiments and datasets under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students

Job Requirements:

• Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good experience and track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.
• Prior research experience and track record in R&D and standardization.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

Nanyang Business School is seeking a full-time Research Associate to work with Professor Sharon Ng in the Division of Marketing. The candidate is expected to assist Prof Ng with on-going research projects, and to work on projects of their own interest. In particular, we seek candidates with interest in understanding how people respond to new technology (e.g., robotics, AR, AI). We are also interested in candidates who may want to explore the intersection of culture and technology. One core aspect of this role will be to help the faculty to design and conduct experiments. The candidate will be included as an author/co-author on publications from the projects.

Key Responsibilities:

• Project management
• Literature review
• Ideation
• Conducting of experiment
• Drafting the paper

Job Requirements:

• Master degree in Psychology, Sociology, Marketing, or related social science discipline. Prior work (including but not limited to dissertation) must involve statistical analyses of survey and experimental data.
• Excellent academic record and work ethic required.
• Excellent written skill is required. The candidate should be able to write a research paper well.
• Enthusiasm for research required.
• Working knowledge of SPSS is necessary. Knowledge of other statistical tool is a plus.
• Prior publication in marketing peer review journals is a plus

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

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

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 National University of Singapore invites applications for the position of Research Associate 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.

The Research Associate will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Programming Languages & Software Engineering

Qualifications

• A Master’s degree in a relevant area;
• Experience in research.

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 NUS Centre for International Law (CIL) is inviting applications for a one-year Research Fellow position to contribute to the development and research of the International Dispute Resolution (IDR) programme. Candidates with experience in public international law, including in international tribunals such as the International Court of Justice, are encouraged to apply. The focus topic of the IDR programme is disputes involving States and includes issues related to alternative dispute resolution, international courts and tribunals and peace and security.

The duties of the incumbent will include:

• Conducting research and writing on current issues related to the resolution of disputes involving States;
• Contributing to the development of the IDR programme's research agenda;
• Publications in top tier peer-reviewed journals;
• Development and implementation of conferences, seminars, workshops, and trainings related to international dispute resolution.

The IDR Research Fellow can look forward to working in a small team with a short reporting line and interactions with practitioners in the field. The successful candidate will also have the opportunity to collaborate with other CIL research teams and experts, and to attend conferences and workshops.

Qualifications

• A PhD in relevant area of international law or equivalent experience;
• At least 2 years working experience;
• Proven records in conducting independent research;
• Strong analytical and writing skills - experience with publication of journal articles is desirable;
• Ability to produce academic writing as well as background papers/reports;
• Demonstrable interest in public international law and dispute resolution;
• Strong organisational and communications skills;
• Fluent language skills in English are required;
• Pro-active personality, with the ability to make suggestions and be a hands-on contributor; and
• Tech-savvy.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents:

• A covering letter (no more than 1 page) detailing motivations, relevant experience and why the candidate should be considered for the position;
• A detailed CV (no more than 3 pages);
• 1 sample of written work; and
• Names and contact details of 4 referees, including PhD supervisor

Please note that only shortlisted candidates will be notified and invited for an online Zoom interview.

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 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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.

The Research Assistant will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research assistant is expected to have solid HCI skills including user study, interviews, usability testing, prototyping, workshop. It is a plus if the RA has hands-on research experience with virtual reality & augmented reality and machine learning system, and/or a strong publication record in top venues.

Qualifications

• A BSc or MSc degree in Computer Science or related field
• Experience in research and strong publication record
• Strong systems development skills
• Prior experience with virtual reality (VR), augmented reality (AR) and machine learning (ML) systems

Only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research.

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

To develop microfluidic-based vascular platforms for atherosclerosis, immunology and extracellular vesicles research. Responsibilities include but not limited to microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis/reporting, grant writing, supervision of PhD students etc.

Key Responsibilities:

• Work on a project to develop novel microfluidics and organ-on-chip platforms
• Perform research related to diabetes, atherosclerosis and peripheral arterial diseases
• Perform in vitro drug testing using microfluidics and in-vitro assays
• Fabrication and validation of microfluidic devices using cell lines, blood and clinical samples.

Job Requirements:

• Interested candidate should possess a PhD degree qualification in biomedical engineering, vascular biology or a relevant biological discipline. We seek a motivated individual who can work well independently as well as with a team. He/she is preferred to have:
• Experiences in organ-on-chip and/or vascular biology research
• Experiences in basic cell and molecular biology techniques (mammalian cell culture, PCR, RT-PCR and ELISA), microscopy and flow cytometry
• Experiences in immunology or extracellular vesicles is an advantage
• Strong publication track record

We regret to inform 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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on reliability analysis of a floating tidal-wave energy system. Candidates with expertise in reliability analysis and dynamic analysis of floating structures are preferred.

Job Requirements

• Possess a recognised PhD degree in offshore engineering, or a related discipline.
• Strong writing and communication skills
• Good publication record is advantageous
• Open to fixed term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and innovative Postdoctoral Research Fellow to join our team. The successful candidate will contribute to the development of advanced exhaust treatment catalyst materials and devices for ammonia (NH₃) combustion engines. This role involves cutting-edge research at the intersection of catalysis, materials science, and environmental engineering, aimed at enhancing the efficiency and sustainability of NH₃-based combustion technologies.
Key Responsibilities:

1. Design and synthesize novel catalyst materials for exhaust treatment in NH₃ combustion engines.
2. Evaluate the catalytic performance under realistic exhaust conditions, focusing on activity, selectivity, and durability.
3. Develop integrated catalyst-device systems for optimal emission control and reduction of harmful byproducts.
4. Collaborate with interdisciplinary teams, including materials scientists, chemical engineers, and environmental researchers.
5. Utilize advanced characterization techniques (e.g., electron microscopy, spectroscopy) to analyze catalyst structures and performance.
6. Optimize catalyst formulations and device configurations to meet regulatory and performance standards.
7. Prepare high-impact research publications, patents, and technical reports.
8. Present findings at scientific conferences and contribute to grant proposals for continued research.

Qualifications

Educational Qualification:

• A Ph.D. in Heterogeneous Catalysis, Materials Science, Chemical Engineering, or a closely related field.

Technical Expertise:

• Highly skilled in catalyst design, synthesis, and characterization.
• Extensive experience with high-end electron microscopy techniques, including but not limited to aberration-corrected TEM/STEM, EELS, and in situ/operando methods.

Professional Experience:

• Proven track record of extensive hands-on experience in heterogeneous catalysis research.
• Demonstrated ability to tackle complex scientific challenges and deliver innovative solutions.

Personal Attributes:

• Strong team spirit, with the ability to collaborate effectively across interdisciplinary teams.
• Optimistic and forward-thinking, with a solution-driven approach to problem-solving.
• Self-motivated and able to work independently while managing multiple tasks and deadlines.

Communication and Collaboration:

• Excellent verbal and written communication skills.
• Strong ability to present research findings in academic and industry settings.

Research Excellence:

• A record of publishing high-quality research articles in peer-reviewed journals.
• Experience with preparing technical reports, patents, or grant proposals is an advantage.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

Temasek Laboratories@NTU is looking for a candidate to join them as a Senior Research Scientist.

Key Responsibilities:

• The candidate will be expected lead and conduct research in urban sensing, specially the detection, localization and classification of active and passive targets via wireless RF signals in harsh urban environments.
• The candidate will be responsible for both theoretical development of methods and experiment design to validate the developed methods.
• Additional research responsibilities include supervising junior researchers, interns, and students; conducting detailed literature review and assessment of the state-of-the-art technologies; planning and executing detailed R&D activities to meet project objectives and deadlines; generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Administrative responsibilities may include safety management, asset management, and other duties as required.

Job Requirements:

• PhD in Electrical & Electronics Engineering or a related fields
• Strong background and knowledge in modern RF communications/ digital signal processing particularly in wireless communications and RF Array processing, with at least 10 years of research experience.
• Proven track record in research and development of algorithms.
• Proficiency in algorithm development and programming skills using MATLAB or Phyton.
• Knowledge of machine learning or deep learning techniques.
• Familiarity with Ettus USRP devices, GNU Radio/LabVIEW programming is an advantage.
• Strong publication record.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.

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

Location: Pioneer

Duration: 6 Months Contract

Salary Range: $4K - $4.5K

• Assist with research in the department
• Dealing to qualitative and quantitative research data
• Other ad hoc duties assigned

Requirements

• Comfortable working with quantitative data
• Familiar with SPSS
• Familiar with aspects of quantitative analysis from the preparation of data to multivariate analyses

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc

Recruiter (R23113787)

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Conduct cutting-edge research and development in speech/audio foundation models.
• Research, design, develop, and evaluate generative models.
• Conduct research to integrate Large Language Modeling into speech and audio generation (Neural Tokenizers, Large Language Modeling, etc.).
• Identify key research areas and contribute to innovative speech/audio models.
• Design and curate large-scale, high-quality datasets with multi-team efforts.

Qualifications:

• Major in computer science, mathematics, engineering, a related field, or equivalent professional experience.
• 2+ years of internship or full-time experience in one or more areas of machine learning and deep learning, including but not limited to:Speech/Vocal generation (including text-to-speech, singing-voice-synthesis, prosody transfer, etc.)
  Audio generation (including text-to-music, etc.)
  Large scale speech/audio self-supervised representation learning and foundation models
  Large Language Model pre-training and fine-tuning
• Deep knowledge of deep learning and generative models (Diffusion, Flow Matching, AR Transformer, Mamba, VAE, GAN, etc.).
• Self-driven, innovative, collaborative, with strong communication and presentation skills.

Preferred Qualifications:

• Ability to work collaboratively in fast-paced, startup environment.
• Strong publications in top-tier ML/Speech conferences/journals (e.g., NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH).
• Deep understanding of Large Language Models.
• Familiarity with different variants of diffusion models, such as Flow matching, DDIM, etc.
• Familiarity with large-scale distributed training.
• Knowledge of engineering principles and best practices.
• High proficiency in algorithms and programming; strong coding skills in Python.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. Computational resources are available through a dedicated cluster and collaboration with the High-Performance Computing Centre of NTU. In addition, EOS hosts state-of-the-art analytical facilities for petrological and geochemical analysis, and a Community Engagement office that co-creates learning opportunities for a range of audiences to promote a safer and more sustainable future.

EOS is looking for ambitious, highly motivated Research Fellow (post-doctoral scholar). The successful candidate will work under the supervision of Prof Adam Switzer to investigate various approaches to future tropical cyclone prediction in the Asia Pacific and apply novel statistical techniques to enable policymakers and planners to understand plausible worst-case scenarios with the rising sea-level and changing climate. We're looking for a collaborative individual with a passion for learning, who would enjoy working with people from a wide range of disciplines, with a goal to connecting the dots between the components.

Key Responsibilities:

• Conduct computer simulations by modelling components of sea-level rise, cyclogenesis and their inter-dependencies.
• Interface with climate modeling experts and insurance industry partners on the relevant data for modeling and analysis of future cyclone risk.
• Manage, analyse, and interpret complex datasets, employing the latest methodologies and tools for accurate and efficient data processing.
• Engage in close collaboration with experts across diverse disciplines, integrating various datasets to enhance the understanding on scientific prediction of sea-level rise.
• Develop key case studies that can inform and support policy decisions, emphasizing practical applications of research findings in risk management and mitigation strategies.
• Prepare research outputs in formats accessible to policymakers, risk stakeholders, and the broader community, ensuring clear and effective communication of complex scientific information.
• Present, publish, and communicate research results in scientific meetings, scholarly journals, and other relevant platforms, contributing to the broader scientific discourse.
• Provide guidance and support to junior team members, students, and research assistants, fostering an environment of learning and professional growth.

Job Requirements:

• Ph.D. in Coastal Engineering, Climate Science, or another related field.
• Post-doctoral experience is an advantage.
• Strong fundamentals of climate variability and change, geoscience and atmospheric science, physical oceanography, and meteorological observations.
• Expertise and interests in climate modelling, data analysis, and statistical methods.
• Track record of publishing research relevant to the position in international recognised journals.
• Evidence of excellent communication skills.
• Evidence of independence in research direction and team spirit.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

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

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

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