Our department is seeking to hire a responsible and talented Research Fellow (RF) to support research aiming to develop AI embedded methods and tools to facilitate the testing procedure of Continental products. This project needs the employee to apply computer vision AI techniques and learning algorithms to build toolkits that automatically generates complete architecture of test cases and corresponding labels, which will spend plenty of time in traditional manual testing. The RF is also involved in some academic works including, reinforcement learning, computer vision, and software testing.

Key Responsibilities:

• Conducting the research in AI domains (e.g., reinforcement learning and image recognition), software testing, program synthesis
• Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially software testing (automatic test case/plan generation)
• Conducting the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models
• Participating in co-operation with Continental’s development team
• Interacting with Continental business units
• Developing and integrating AI algorithms into the real development progress
• Preparing academic publications such as pattern, research paper
• Contributing to seasonal and annual report writing and presenting

Job Requirements:

• PhD degree in Artificial Intelligence, Computer Science, Software Engineering
• Strong background and research experience in artificial intelligence, software engineering, automatic testing, program synthesis
• Excellent background and experience in programming language, especially python
• Good communication and report-writing skills
• Strong responsibility for research and work

We regret that only shortlisted candidates will be notified.

The Dementia Research Centre (Singapore) at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore is looking for candidates with PhD training and a research track record in Biomedical science, Psychology and engineering or related disciplines to support our growing portfolio of exciting multimodal neuroimaging analyses in neurodegenerative disorders, especially under the Science of Learning initiative. We are a vibrant team studying brain alterations in the preclinical cognitively normal individuals and in early stages of young and late-onset dementia in subjects from Singapore using multimodal structural and functional brain imaging and statistical analyses to predict disease progression and conversion.

Job Description

The candidate will provide research support to the principal investigator and team in the organisation, processing and analyses of neuroimaging data as well as using various neuroimaging, biomarker and neurocognitive data for developing advanced machine learning algorithms for disease prediction and progression for dementia-related studies at the Dementia Research Centre (Singapore), in adherence to the International Council for Harmonisation Good Clinical Practice (ICH GCP) and protocol requirements. This position offers an excellent opportunity to develop and refine in demand skills in clinical research in the field of ageing and dementia especially under the new Science of Learning initiative at the centre. Successful candidates will assist in high value research endeavours and perform a variety of functions, such as:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging studies
• Organize, fine-tune and execute neuropsychological testing
• Perform project coordination and assist with data collection, organisation and data management under the purview of the grant
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Job Requirements

• PhD in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

A research fellow position is available in the DNA and RNA Editing (DaRE) Laboratory at the School of Chemistry, Chemical Engineering and Biotechnology (CCEB) in NTU. The laboratory, led by Assoc Prof Tan Meng How, works on developing and applying cutting edge biotechnologies, including high throughput next generation (NGS) sequencing, CRISPR-Cas, and deep learning methodologies to read, write, and decipher the genome and transcriptome of living cells. The research fellow will be involved in efforts to develop and/or apply new tools and methodologies to push the boundaries of genomics and synthetic biology.

Key Responsibilities:

• Develop and/or apply new genome and transcriptome engineering technologies
• Perform functional genomics assays and other wet-lab experiments
• Analyze experimental data and prepare reports and presentations
• Write and publish high-impact journal papers
• Guide graduate and undergraduate students

Job Requirements:

• A PhD degree from a reputable university in science or engineering
• Strong research experience in biological sciences, bioengineering, biotechnology, or a related discipline (such as genomics, genetics, computational biology, cell biology, molecular biology, synthetic biology etc.)
• Outstanding publication track record, preferably with a first-author paper in a high-impact journal
• Demonstrated ability to work well in a team
• Good working knowledge of the latest genomic technologies

To apply, please submit a CV, brief statement of research interests, and contact information for at least two references to [email protected].

We regret that only shortlisted candidates will be notified.

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in chemical reactors to develop an improved prototype for a thermocatalytic process.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will work on the design, fabrication and testing of a chemical reactor system that will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to design a system prototype that can effectively mitigate the impact of impurities from diverse plastic waste streams on production outputs and can be operated in a continuous mode.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Experimental work on plastic waste conversion into carbon nanotubes and hydrogen.
• Design, procurement, installation and operation of the prototype system;
• Investigation of system performance and determining factors that influence the yield and quality of outputs;
• Development of improvements in system design to mitigate the factors decreasing quality and yield of outputs;
• Development of a continuous process;
• Liaising with vendors regarding the feasibility of scale up and conducting a cost-benefit analysis.
• Publishing research papers and documenting developed intellectual property.
• Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to chemical reactor engineering (e.g., Chemical Engineering, Thermal Engineering, Mechanical Engineering, Process Engineering or other).
• PhD thesis or postdoctoral experience related to chemical reactor engineering for at least one of the following areas: (a) catalytic reactors, (b) continuous reactors.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers.
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results, even under challenging circumstances.

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Office of Education Research, Science of Learning in Education Centre.

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1

Project Introduction:

This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments.

Project 4 Research Questions

1. To what extent do adolescent lifestyles and wellbeing differ across groups of students cross-sectionally,?

2. What are the contributions of individual, school, and home factors to adolescents' emotional wellbeing?

3. What is the association between adolescent relationships (with parents, teachers, peers) and wellbeing?

Project 6 Research Questions

1. What is life like for adolescents with SEN in secondary schools?

2. How do their lifestyle similar or different from that of their peers?

3. How do students with SEN in secondary schools do in terms of their wellbeing?

Requirements

• Bachelor’s degree or above, preferably in Psychology, Sociology, or a related field
• Familiar with the Singapore education system (mainstream / special education)
• Familiar with survey data collection and management
• Able to perform statistical analysis confidently (e.g., factor analysis, regression)
• Proficient in Microsoft WORD, EXCEL, and POWERPOINT, TEAMS applications
• Possess strong interpersonal communication, writing and language skills
• Possess knowledge of qualitative and quantitative statistical software programs
• Able to work independently with minimal supervision.
• Able to work cooperatively in both small (<3 pax) and large teams (>10 Pax)

Preferred

• Proficient in using at least one statistical software package (e.g., SPSS, R, Stata, Mplus)
• Experience in working with databases.
• Experience with Qualtrics
• Familiar with major theories in educational social psychology (e.g., motivation, self and identity, social and cultural capital)
• Possess relevant experience in educational or psychological research.
• Familiarity with the Special Education Sector will be beneficial for Project 6

Responsibilities

• Liaise with participating schools/parents/teachers and other researchers involved in the project
• Prepare for, and implement data collection
• Maintain records and document research progress
• Assist with data preparation, entry, and analysis
• Assist in the administration and management of project related matters
• Assist in writing of reports and papers for publication
• Conduct and summarise academic literature reviews
• Learn and perform statistical analysis independently
• Support the project in Administrative work (handling PTRAs, logistics, voucher distributions, participant engagement events, Taking meeting minutes, supporting International Advisory Panels
• Other tasks as assigned by the Principal Investigator / Co-PIs

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Please include your name in your CV file name.

Workday Job Requisition ID: R00019321

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019321)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

The Laboratory for RNA Delivery Therapeutics @ NTU

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Mary Chan-Park team. Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles.

Prof Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU. She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

The Research Fellow will take on a significant role to design and synthesize new lipids or polymers that are stimuli-responsive and suitable for nanoparticle delivery formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

Key Responsibilities:

• Design and synthesize novel stimuli-responsive lipids or polymers for RNA delivery formulations to achieve efficient transfection and endosomal escape.
• Develop cationic or ionizable lipids or polymers for RNA delivery applications.
• Collaborate with team members to formulate lipids/polymers with RNA for transfection experiments.
• Measure and evaluate transfection efficiency, endosomal escape efficiency, and other particle properties.

Job Requirements:

• PhD in Chemistry, Chemical Engineering, Materials Science, or related field
• At least 5 years of relevant experience in lipid/polymer synthesis and design for stimuli-responsive nanoparticle delivery, particularly RNA delivery formulations.
• Familiarity with advanced lipid/polymer design for RNA delivery and nanoparticle formulations (e.g., classical LNPs and top research groups).
• Strong written and oral communication skills.
• Proficiency in lipid/polymer synthesis is essential.
• Competence in technical communication and leadership, including supervising junior researchers (e.g., PhD students).
• Strong interpersonal skills, with the ability to work independently, meet deadlines, and manage time effectively.
• Entry-level PhD graduates are welcome to apply. Recent PhD graduates in chemistry, chemical engineering, materials science, and engineering or related fields with knowledge in organic or polymer synthesis are strongly encouraged to apply or inquire.

We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects. Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee)

We are looking for a Post-Doctoral/Research Fellow to join our research projects on novel semiconductor devices (memory/transistor).

Key Responsibilities:

• Develop baseline processes for novel memory/transistor test devices.
• Fabricate high quality memory/transistor test devices.
• Characterize test devices physically, analytically and electrically.
• Analyze, organize and present experimental data.
• Draft progress report/research proposal.

Job Requirements:

• PhD degree in electronics engineering or material science/engineering or applied physics or related field
• At least 4 years of relevant experience in semiconductor device fabrication and characterization.
• Familiarity with cleanroom fabrication tools and semiconductor device measurement instruments
• Good written and oral communication skills (mandatory).
• Proficient in cleanroom fabrication and test device characterization (physical/analytical/electrical), data analysis, organization and presentation.
• Self-motivated, responsible, able and willing to self-learn and adapt to changing priorities, possess sharp observational skills, able to work independently as well as in a team.
• Entry level candidates are welcome to apply.

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

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.

The job is for automated high-throughput experimentation and robotic development, running AI-driven automated worklows for thin film development, electrical and opto-electronic characterization as well as device applications. The RF will be responsible for building a fully automated robotic platform to execute the scientific goals laid out in the project, with multi-layer perovskite film deposition and crystallization, followed by rapid characterization to create a database (primarily building upon the SpinBot system we have purchased from SciPrios: https://www.sciprios.de/lab-automation/spincoating-robots/ ). The RF is also expected to execute optimization algorithms developed by the team to identify relevant regions of interest in the input parameter space. Python programming, database management and robotic interfacing (both with robots and electrical and mechanical equipment) is necessary for this job.

The work is critical in the goal of materials-by-design, especially considering sparse, yet well-labelled materials science datasets. The work performed here will continue to maintain NTU’s leadership in the space of AI for materials science, especially with digital discovery and data-driven learning being pioneering areas of research.

Key Responsibilities:

The Research Fellow is expected to work in the space of High-Throughput experimentation and automated robotics for synthesis, thin film deposition and electrical and opto-electronic characterization. Specifically, the RF is expected to work on the following areas of research:

• Building a self-driving lab with robots, spin-coater and/or doctor blade coating systems, integrated with sample transfer and electrical and opto-electronic characterization.
• Operating and maintaining the robotic systems and working with protocols, interfacing with characterization equipment, environmental chambers, and a data management system.
• Execute optimization algorithms that allow for fully automated experimentation, working closely with other members of the team.
• To assist in the creation and maintenance as well as performance of experiments in a self-driving thin film lab along with driving the scientific goals of the project, hypothesis generation and working closely with a 4-member PhD team.

Job Requirements:

• PhD degree in materials science, physics, chemistry, electrical engineering and/or related field
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills
• Entry level candidates are welcome to apply

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

The Delta-NTU Corporate Laboratory for Advanced Robotics was jointly established by Nanyang Technological University (NTU) and Delta Electronics in June 2016, supported by A*STAR. The Lab aims to create business value through collaborative commercialization of translational research and technology development. This is a Phase 2 project.

Key Responsibilities:

• Work on a project to conduct the research on the development of Three-dimensional Simultaneous Localization and Mapping (3D-SLAM).
• Literature review of 3D-SLAM
• Simulations of a SLAM algorithm in an edge hardware platform with limited computation complexity
• Machine learning algorithms for data fusion
• Write papers on the research done during this project.

Job Requirements:

• Master degree in Electrical and Electronic Engineering from a reputable university
• Working experience in related areas
• Knowledge and experience in machine learning and robotics
• Knowledge and experience in signal processing, and robot navigation
• Good publication track record in related areas
• Proficiency in basics of programming languages such as C, Java, Matlab and Python
• Proficiency in English, both spoken and written - for research purposes

We regret that only shortlisted candidates will be notified.

The Nanyang Environment & Water Research Institute (NEWRI) invites applications for the position of Research Fellow to participate in an industrially funded research project on identifying chemicals released into the environment from industrial processes. The position requires in-depth practical experience in modern chemical analytical instrumentation, particularly tandem methods including liquid/gas chromatography - mass spectrometry. Experience in targeted and non-targeted analysis of trace levels of chemicals is essential.

Key Responsibilities:

• Support research work on water and environmental sample analysis using various high-end analytical instruments for research including Agilent 6550/6560 LC-QTOF, 7010B GC-QQQ, LC-QQQ with online SPE, and 8900 GC/LC-ICP-QQQ.
• Develop an integrated workflow for the identification and toxicity assessment of water disinfection byproducts using ion-mobility high-resolution mass spectrometry (IM-HRMS) and cell analysis solutions (RTCA and Seahorse).
• Compare the use of novel cell analysis solutions for toxicity assessment (RTCA and Seahorse) with traditional approaches used in the environmental market.
• Clearly document the experimental work performed and sample information.
• Assist in preparing presentations and reporting data for the work done using Microsoft Office Suites.
• Support laboratory procurement, inventory, maintenance, and housekeeping.
• Assist in daily operational, safety, administrative, and logistics duties related to the research activities.

Job Requirements:

• PhD in Analytical Chemistry, Environmental Chemistry or a related field that uses analytical instrumentation.
• Minimum 4 years of working experience in a research environment (including PhD studies).
• Proven expertise in liquid chromatography – mass spectrometry.
• Experience on state-of-the-art instrumentation including LC-QQQ and LC-QTOF instruments.
• Knowledge and experience on common analytical instruments (e.g. fluorescence microscopes, real-time PCR, multi-mode readers, cell analyzer).
• Preferred experience in cell-based assays in microplate formats and with absorbance/fluorescence read-out (e.g. Reporter cell assays).
• Experience in analytical library preparation is preferred.
• Meticulous, proactive, organized & able to work independently according to plans.
• Good communication skills & team player.

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

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

We regret that only shortlisted candidates will be notified.

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Artificial Intelligence.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills - for research purposes
• Independent and team player.

We regret that 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.

Key job purpose

• Conduct investigations on the bonding and debonding of adhesively bonded composite joints with modified adhesives via induction heating by developing a in-situ heating – peeling testing device.

Key Responsibilities:

• Deep drive into the modification of adhesives with magnetic particles and investigate the hysteresis heating response under the induction heating.
• Able to fabricate the long fiber reinforced composite materials with modified adhesives for their joining and investigate the debonding response Develop necessary test matrix to do comprehensive parametric studies
• Develop in-situ induction heating and debond test set-up for the peel tests.
• Capabilities in advanced finite element or machine learning tools for process optimisation
• Disseminate the research outcomes into Journal publications, conference presentations and patents, where appropriate.

Job Requirements:

• PhD degree in materials engineering or mechanical engineering or chemical engineering with good relevant track record and experience.

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

The Laboratory for RNA Delivery Therapeutics @ NTU

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Mary Chan-Park team. Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles.

Prof Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU. She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

The Research Fellow will take on a significant role to develop stimuli-responsive nanoparticle formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

Key Responsibilities:

• Develop new stimuli-responsive lipid or polymer formulations for RNA nanomedicine to achieve efficient transfection efficiency and endosomal escape.
• Design and synthesize novel cationic or ionizable lipids or polymers for RNA delivery.
• Formulate lipids/polymers with RNA to create delivery systems.
• Measure and evaluate transfection efficiency, endosomal escape efficiency, and other particle properties

Job Requirements:

• PhD in Chemistry, Chemical Engineering, Bioengineering, Materials Science, or related field
• At least 5 years of relevant experience in stimuli-responsive nanoparticle delivery formulations and evaluation.
• Familiarity with RNA delivery formulations (e.g., LNPs) and their evaluation.
• Proficiency in RNA formulation and RNA evaluation techniques.
• Experience with mice studies and bioimaging (e.g., confocal, FRET, FRAP).
• Strong background in lipid or polymer synthesis.
• Excellent oral and written communication skills; capable of technical leadership and supervising junior researchers.
• Strong interpersonal skills, with the ability to work independently, meet deadlines, and manage time effectively.
• Entry-level PhD graduates are welcome to apply. Recent PhD graduates in chemical engineering, bioengineering, chemistry, materials science, and engineering or related fields, with knowledge in RNA delivery and independent research, are strongly encouraged to apply or inquire.

We regret that only shortlisted candidates will be notified.

Job Brief: We are seeking a detail-oriented and organised Accounting Assistant to support our financial team. The ideal candidate will assist with managing expense reports, processing reimbursements, and maintaining accurate financial records.

Responsibilities:

• Reconcile invoices and identify discrepancies.
• Create and update expense reports.
• Process reimbursement forms.
• Prepare bank deposits.
• Enter financial transactions into internal databases.
• Check spreadsheets for accuracy.
• Maintain digital and physical financial records.
• Issue invoices to customers and external partners, as needed.
• Review and file payroll documents.
• Participate in quarterly and annual audits.

Requirements:

• Proven work experience as an Accounting Assistant or Accounting Clerk.
• Familiarity with basic bookkeeping procedures.
• Competency in MS Excel and accounting software (e.g., QuickBooks).
• Strong mathematical skills and attention to detail.
• Excellent organizational skills.
• Ability to handle sensitive, confidential information.
• BSc/Ba in Accounting, Finance, or relevant field.

Store Assistant duties and responsibilities

Our company is seeking an enthusiastic Store Assistant to work in our store. Duties include helping our customers identify and purchase items, restocking the retail space, and creating appealing merchandize displays. The ideal candidate will have a desire to provide excellent customer service and increase sales. Store Assistants ensure that retail operations are carried out effectively and efficiently for maximum customer satisfaction.

Their day-to-day duties include:

• Assists in achieving store recruiting goals

• Run Cash Register

• Drive the achievement of the store’s sale targets while also meeting individual sales goals

• Assist in maximizing the business potential of the store and maximizing sales by department in line with company strategy

• Monitor proper use and ensure the quality of data in the sales staff’s client books, working with sales staff to propose action plans

• Facilitate staff trainings and new hire inductions, ensuring the proper follow up steps are taken

• Deliver exceptional service to all clientele by upholding brand service values and standards while managing customer relationships in a timely, professional manner

• Identifies performance issues and policy violations according to company policy and partners with the Store Manager

• Keeping the store fully stocked

• Maintaining the highest level of visual merchandising and store conditions

• Delivering exceptional sales services for improved customer satisfaction

• Interacting with customers and identifying their needs and preferences

• Operating cash registers and point-of-sale machines

• Receiving and verifying the quality and quantity of new shipments

• Enforcing in-store security and health and safety procedures and regulations

• Perform any other duties assigned by the director.

Store Assistant duties and requirements

• High school diploma or GED is preferred.

• Proven retail sales experience.

• The ability to stand for extended periods.

• The ability to use labeling and pricing equipment as well as Point of Sale (POS) software.

• The ability to work in a fast-paced environment.

• Strong organizational skills.

• Effective communication skills.

• Exceptional customer service skills.

• Detail-oriented.

• Previous specialty retail management experience, preferably in the outdoor industry

• Retail background preferred-previous management experience

• The ability to work under pressure.

• Availability to work within opening hours (e.g. evenings, holidays, weekends).

Duties & Responsibilities:

• Perform daily warehouse duties including but not limited to inbound (receiving, sorting, put-away),
• Outbound (pick/pack/release)
• Check on the quality and quantity of items for receiving and releasing
• Use WMS
• Assist supervisor in ensuring accurate tasks execution
• Ad-hoc tasks will be assigned based on warehouse needs

• Minimum bachelor degree
• Minimum 2+ years working experience
• Scheduling: Arranging meetings and appointments, and managing diaries
• Communication: Answering and directing phone calls, and drafting correspondence
• File management: Developing and maintaining a filing system for electronic and hard copy documents
• Document preparation: Creating, compiling, and storing documents
• Office maintenance: Maintaining office equipment, registers, stores, and stationery
• Customer service: Assisting customers and superiors
• Report preparation: Assisting in the preparation of regularly scheduled reports
• Inventory: Keeping an inventory of office supplies and ordering new materials
• Visitor greeting: Greeting visitors at reception..
• Time management, computer proficiency, attention to detail, communication, organization, adaptability, problem-solving, customer service, multi-tasking, and confidentiality.

The Accounts Assistant will be responsible for assisting with various tasks related to accounts receivable, ensuring accurate and timely processing of invoices, payments, and collections. The individual will have strong attention to detail, excellent organisational skills and the ability to work effectively both independently and as part of a team.

Key Responsibilities:

• Generate and issue customer invoices accurately and in a timely manner
• Monitor accounts receivable aging and follow up on overdue accounts, communicate with customers regarding outstanding balances
• Process incoming payments in compliance with financial policies and procedures
• Perform regular reconciliations of accounts receivable ledger to ensure accuracy and completeness
• Investigate and resolve billing discrepancies or disputes
• Monitor and prepare cash flow analysis
• Collaborate with other departments to address customer inquiries or concerns
• Support month-end and year-end close processes as needed
• Contribute to process improvements and efficiency initiatives within the accounts receivable function
• Department admin & ad-hoc duties assigned from time to time

Minimum Educational Qualifications/ Experience required:

• Minimum Diploma in Accounting, Finance or equivalent qualifications
• Minimum 1 year of working experience in a similar role

Skills and Knowledge required:

• Strong understanding of accounting principles and practices
• Proficiency in Microsoft Excel and accounting software (such as MS Business Central, Accpac, etc.)
• Detail-oriented with a high level of accuracy in work
• Service-oriented with excellent communication and interpersonal skills
• Organised, self-motivated and able to work independently as well as collaboratively within a team
• Able to prioritise tasks and meet deadlines in a fast-paced environment

Benefits Summary:

• 5 day work week: Monday to Friday
• 8.30am to 5.30pm
• 2 Days WFH
• Tuas Area
• Basic Up to $4500 + 3 month Bonus

Job Description:

• Create monthly consolidated cash flow statements for the group to evaluate and minimize cash flow risks.
• Track bank service charges and address any quality concerns swiftly.
• Build and maintain strong relationships with banking partners.
• Assess banking services to ensure they align with new requirements and offer competitive terms.
• Handle submissions for Trade Finance and Hire Purchase (HP).
  Oversee the management of shipping documents and resolve any discrepancies promptly.
• Supervise the opening and closure of bank accounts, update authorized signatories, and handle bank tokens.
• Prepare and manage board resolutions and meeting minutes related to financial matters.
• Oversee foreign exchange hedging plans and track borrowing rates.
• Ensure adequate banking resources are available to support business growth and expansion.
• Prepare Profit & Loss (P&L) and Balance Sheet (BS) reports and ensure compliance with banking covenants.
• Compile and submit the monthly treasury report to the Finance General Manager.
• Complete other duties and projects as assigned by the direct supervisor.
  

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We wish you all the best in your career search.

You are welcome to visit our website at www.rkgroup.sg

RK Recruitment Pte Ltd | EA License No.: 20C0280

Raymond Ng Jun Han | EA Personnel No.: R1657009

Job Description

• Handling of accounting functions inclusive but not limited to Accounts Receivables, Accounts Payables, General Ledgers, Bank Reconciliations
• Maintain cash book, petty cash and prepare payments
• Liaise with Project Managers and to update project status to ensure bilings to clients are on time and align wiht project milestones
• Process Employee claims (Medical, Travel and etc.)
• Assist with GST submission
• Liaise with auditor &tax agent for financial reporting documents
• Assist in banking-related matters
• Processing payroll via HRMS system
• and any other assigned accounting related duties

Requirement

• Diploma in Accounting or related qualifications
• Preferably with minimum 2 years' relevant experience in a similar role
• Proficient in MS Office applications (Excel, Words and Powerpoint)
• Familiar with Payroll software such as Xero

The HR Assistant position is a full-time role based in Singapore. Your main responsibility consist of recruitment and providing support to management.

Responsibilities:

• Providing recruiting support such as reviewing resumes, conducting and scheduling interviews, hiring, and following up with candidates.
• Schedule and coordinate onboarding/offboarding sessions.
• Compile and process employee documentation and records, and keep the employee database up to date.
• Support the management of disciplinary and grievance issues.
• Assist office manager with formulating policies, procedures, and changes, as well as communicating all updates to employees.
• Collaborate with insurance providers and other benefit vendors.
• Implement activities and programs to enhance the overall well-being of employees.

Requirements:

• Up to 1-2 years of working experience
• Diploma in Human Resource/ Business Admin and above
• Understanding of labor laws and regulations.
• Proficient in MS Office
• Fast paced working environment
• Responsible, meticulous, multi-tasker, self-initiative, resourceful, good team player

Additional Information:

• You must have the right to work and live in Singapore
• This role is based in Singapore.

About MDPI:

A pioneer in scholarly open access publishing, MDPI has supported academic communities since 1996. Our mission is to foster open scientific exchange in all forms, across all disciplines. We operate more than 400 diverse, peer-reviewed, open access journals supported by over 84,200 academic editors. We serve scholars from around the world to ensure the latest research is openly and broadly available.

MDPI has its headquarters in Basel, Switzerland with additional offices in Europe and Asia. We are committed to ensuring that high quality research is made available as quickly as possible. We also support sustainability projects, with sustainability as a key theme in many journals and through the MDPI Sustainability Foundation.

1. Answer and direct phone calls
2. Purchasing
3. Maintain contact lists
4. Reply to email, telephone or face to face enquiries
5. Maintain computer and manual filing systems
6. Prepare and monitor invoices
7. Ad hoc job duties as assigned
8. Working knowledge of office equipment, like printers and fax machines
9. Proficiency in MS Office
10. Excellent time management skills and the ability to prioritize work
11. Attention to detail and problem solving skills
12. Excellent written and verbal communication skills
13. Strong organizational skills with the ability to multi-task
14. Required to speak English and Mandarin to liaise with Mandarin-speaking customers.

Position : Administrative Assistant

Salary：$2500-$3000

Working Hour : 7.30am-5pm

Work Location : Tuas

Job Description and Requirement :

· Able to use ERP system

· Control of inventory records

· Must deal with production worker on sub materials

· deal with delivery schedule

· ⁠do monthly report fir management

· able to work independently

· able to take the stress

Job Description:

• Perform Picking & Packing based on customer order

• Provide customer service and issuing of orders

• Perform loading and unloading of goods，Receive and inspect incoming goods

• Ensure accuracy and quality of items for receiving and delivery

• Communicate with salespersons and drivers

• Perform housekeeping and maintenance of tools and equipment

• Other store duties as and when assigned Requirements

Job Requirements:

• At least an 'O' level or 'N' level qualification

• Hardworking and can support overtime

• Physically fit as this job requires you to carry at least 15kg of goods, and diligent, and able to work independently

Other Information:

• Basic + OT + Variable bonus + AWS
• Medical Benefits
• Leave Benefits
• Working Location: Tuas
• Working hours:Monday - Friday (8.30am to 5.30pm), Saturday (8.30am to 3.00pm)