Location: Bukit Panjang

Working Hrs: 41hrs/weekly

Responsibilities:

• Provide customer service at the reception counter to support staff, parents, students, and visitors, including answering phone calls and addressing inquiries.

• Maintaining and updating of data records, filing of documents, inventories etc.

• Preparation of resources for the teaching of Science and Math Department (where applicable) and General Office.

• Assist in any general and ad-hoc duties as assigned by the Admin Manager and School Leaders.

Qualifications:

• At least 3 GCE ‘O’ level passes including English

• Good communication and inter-personal skills

• Good team player

• Proficient in Microsoft Office Application

• At least have 2 years of experience working in a school

environment

NLCS (Singapore) is looking for an enthusiastic, highly qualified and committed Head of Computer Science, with an outstanding track record of success. This is a unique opportunity to join a leading international school as it enters an exciting new phase of development.

All members of staff are expected to be involved in pastoral care within the school community, usually in the role of form tutor, and also to contribute actively to the co-curricular life of the School.

Our school is committed to safeguarding and promoting the welfare of children and young people. The School expects all teaching staff, non‐teaching staff and volunteers to share and uphold this commitment.

In addition to their teaching responsibilities, as per their main job description, the Head of Junior School Computer Science is responsible for the development and implementation of the Computer Science curriculum in the Junior School. Specific responsibilities include:

Curricular & co-curricular provision

• Oversight and development of the Computer Science curriculum including:
• Production and ongoing evaluation of schemes of work and unit plans.
• Liaison with the PYP Coordinator and class teachers to ensure that the curriculum meets the needs of the programme, including being suitably integrated into Units of Inquiry (UoI).
• Liaison with the MYP Coordinator and the Head of Computer Science to ensure that the curriculum provides suitable preparation for the study of the subject in the Senior School.
• Production and ongoing evaluation of assessment tasks and procedures.
• Maintenance of an up-to-date knowledge of the requirements of the PYP programme, and how Computer Science fits into it.
• Provision of support for staff teaching the course including appropriate training and the collation of a bank of teaching resources.
• Tracking of assessment data for students and liaison with class teachers and JSMT to ensure that students are provided with appropriate challenge and support where needed.
• Liaison with teachers in the First School and Lower School to support their planning for the Computer Science curriculum and ensure that it provides adequate preparation for subject-specific teaching from Grade 2.
• Contribution to the production and ongoing evaluation of the annual Computer Science Department Development Plan.
• Provision of curriculum information for school publications.
• Development and provision of subject-related co-curricular activities (CCAs) in the Junior School.

Pastoral care & duties

• Acting as a member of the Junior School pastoral team, providing support and mentoring for students and covering registrations and tutor periods (in place of acting as a House Tutor in the Senior School).
• Taking on break and lunch time supervisory duties in the Junior School as per published rotas (in place of doing so in the Senior School).
• Attendance at Junior School staff meetings and briefings (in place of doing so in the Senior School) and reporting back important messages to the rest of the department.

Safeguarding

• Abiding by the school safeguarding policy and keeping abreast of any changes.
• Have regard for, and promote, the need to safeguard students’ wellbeing, maintaining awareness of cultural differences and related matters when dealing with students.

Looking for a career that's both fulfilling and challenging?

At Achievers Dream Learning Centre, we're on a mission to help students achieve their dreams, and we're looking for dedicated and self-driven individuals to join our team. With our unique teaching methodology and dedicated teachers, we've touched the lives of over 3,241 students from 96+ schools and supported them in achieving stellar results in Chemistry.

And we're not stopping there!

As a Chemistry Specialist with us, you'll receive comprehensive training and opportunities to learn about the inner workings of running an education business. So join our WOW team at Achievers Dream Learning Centre! We're a dynamic group of professionals committed to delivering quality education and helping students thrive in whatever they seek to achieve in life.

A Chemistry Specialist Trainee / Teacher can look forward to the following initiatives:

• With Achievers Dream, you'll receive comprehensive training to learn the secrets of effective teaching techniques that will make your lessons engaging and loved by your students. As you progress, you can earn a promotion to Chemistry Specialist within just two years and achieve variable performance bonuses based on your potential and performance.
• But that's not all - as a Chemistry Specialist, you'll have a clear career path to Senior Chemistry Specialist. At this level, you can enjoy a competitive compensation package and most importantly, a proper work-life balance.
• If you're an existing MOE Chemistry Teacher looking to switch careers, you can benefit from an accelerated career track, starting from a Chemistry Specialist role, and quickly progressing to a Senior Chemistry role based on your proven value.
• And for those capable of more, Achievers Dream offers a clear career progression to Master Chemistry Specialist, Principal Chemistry Specialist, and beyond, purely based on your merits.
• Join Achievers Dream today and embark on an exciting and rewarding career in Chemistry, where your skills and passion can truly make a difference!

And if you love lab experiments, you will enjoy it in AD as we have a license by the National Environment Agency (NEA) to conduct the widest range of experiments in Singapore!

• Be positioned as One of the Top Chemistry Specialists in Singapore. You can be positioned as a top Chemistry Specialist in Singapore where you are recognized by many students and industry leaders as private education is a niche where students can leave you if they dislike you! And even get your chance to author assessment books and jumpstart your teaching career to the next level!
• Master Achievers Dream’s unique, proprietary “Customized Accelerated Foundation” method of helping students learn Chemistry faster and easier by focusing on building the RIGHT foundations.
• Plus many other awesome training, developmental projects and opportunities!

Responsibilities:

• Assist in the development and teaching of the Primary Science / GCE 'O' / 'N' Level Chemistry / GCE 'A-Level Chemistry / IP or IB (Chemistry) aligned to MOE syllabus using Achievers Dream's ‘Customized Accelerated Foundation’ Teaching Methodology
• Attend ongoing peer-sharing and training sessions for professional growth and development to keep abreast with the latest educational trends and pedagogies related to language teaching
• Collaborate with other team members to implement projects

Pls read the requirements carefully:

• 100% commitment to AD Training Programme: This will be a full-time training opportunity. If you were selected for this position, you cannot be holding another full-time/part-time job or running your own business on the side (…even tuition assignments are not allowed).
• Grow Together with Company for the Next 3-5 years: You are clear that you love to teach but you do not want the admin work and office politics. We are looking for associates who can commit for at least 3 to 5 years.
• Passionate about Chemistry teaching
• Sincere in supporting students wholeheartedly to achieve their fullest potential
• Willingness to be coached in Achievers Dream’s proprietary teaching methodology
• NIE-Trained OR at least a Chemistry Degree or Diploma from a recognised education institute
• Minimum Grade: O-Level Chemistry (A1 / A2) or A-Level Chemistry (B)
• At least 1 year of relevant teaching experience (in tuition centres and/or MOE schools) will be an added advantage
• Entry-level candidates from Polytechnics and Universities are also welcome to apply (Specialised training will be provided)

Why Join Us?

At Achievers Dream, we believe in sharing our success with our Team Members and building our success upon their individual success. As we grow, so do our Team Members. In addition to the challenging, exciting and most importantly, fulfilling work, we offer an outstanding career progression pathway and encourage a healthy work-life balance. Most importantly, we favour ability and attitude over experience and degrees.

If you are ready for a life-transforming career (not just a job) and meet the requirements above, here’s what you need to do next:

• Read the entire website linked to this post (to learn more about our team culture) www.achieversdream.com.sg/career
• Submit your application
• Send in your resume
• Wait for us to contact you for a phone interview and, eventually, a face-to-face interview

We regret that only shortlisted candidates will be contacted.

Let's make a difference together

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Health Services and Systems Research (HSSR) Programme at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world. The selected candidate will work in Cardiovascular Health Research Services Unit established under the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE) national clinical translational programme. They will perform a variety of activities relevant to the planned economic evaluations for health interventions and assist a team of health economists.

Job Description

• Perform data cleaning, handling and analysis
• Perform economic evaluations in healthcare (cost analysis, cost-effectiveness analysis, cost-utility analysis or budget impact analysis) with guidance
• Assist in drafting research abstracts and manuscripts
• Assist in preparation of PowerPoint presentations to various stakeholders
• Conduct literature reviews to evaluate the potential value of health innovations
• Assist in preparation of evaluation reports for the health economics team
• Extract data from existing databases and published literature
• Manage projects from start to end with guidance (i.e. Develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform statistical analysis and engage and collaborate with various stakeholders)
• Support secretariat and administrative functions pertaining to the health economics team at HSSR

Job Requirements

• Bachelor’s Degree in any discipline. Master’s Degree in Public Health is preferred.
• Minimum 3 years of working experience with quantitative data
• Adept at working with data, including processing raw data to visualise trends and deciphering patterns and ability to handle large data sets
• Experience in various quantitative research methods preferred.
• Experience or training in health economics will be beneficial.
• Experience with R programming language, and a willingness to learn more applications
• Excellent verbal and written communication and interpersonal skills
• Able to work in a team, with dynamic reporting lines and multiple stakeholders
• Able to work independently with limited supervision
• Action-oriented, highly motivated and target-focused

URGENT

Location : Depot Road and Sembawang Road

Position : Temp Admin Staff

Contract period : 1 year

Mondays to Fridays : 8.15 am to 5.15 pm

Saturdays : Day Off

Lunch : 1 hour

Min GCE 'O' Level - S$1,733.33 per month

Job scope :

· Assist in packing, sorting, shifting of files/boxes for review and destruction.

· Document destruction – including shredding and documentation.

· Data-entry and record updating

· Digitisation and e-Filing of documents

· Ad-hoc administrative duties as assigned by supervisor

Please indicate your proficiency in Microsoft Excel categories as follows:

None: Not familiar with Microsoft Excel

Basic: Able to key in and copy data

Intermediate: Able to create formulas, perform summation, and reference cells across different tabs

Advanced: Able to work with pivot tables, macros, and scripts

Furthermore, please indicate on the form:

If you have a driving license

If you have experience in document scanning

If you meet the above, please email your resume to [email protected].

EA License No: 96C4864 Reg. No.: R1106922

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

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.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

The School of Physical and Mathematical Sciences (SPMS) of NTU is an exciting environment for research. The Yong research group works on novel problems in biological and complex systems and has published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc.

Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social networks, financial markets, etc., in order to understand their behavior, pattern and interaction.

Understanding the structure-function relationships of biomolecules is an active area of research due to its fundamental importance in biology, physics, and engineering. The emerging field of Mathematical AI for Molecular Sciences is proposed for molecular representation, featurization, and learning. We are interested in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex. The results from the research will provide key insights to understanding the structure-function relationships of biomolecules.

The Yong research group is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research that can be published in high impact journals. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Utilize recently developed mathematical tools from algebraic topology, combinatorial topology, computational topology, and differential geometry (e.g., Betti numbers, Hodge-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA.
• Develop simplicial models for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruple, to better understand form-function relationship in biology.
• Use molecular modeling and AI (using e.g., the SMILES protocol) to quickly and accurately assess compounds with Essential Physicochemical Properties for drug design and development.
• Translate research findings into practical applications in pharmacology.
• Perform numerical simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• PhD from a reputable university, preferably in physical sciences or STEM related field.
• Good publication track record.
• Strong background in artificial intelligence and biochemistry with prior experience in numerical simulations.
• Expertise in numerical simulations, and the ability to code and run simulations on deep learning workstation/supercomputers clusters.
• Able to think and work independently and have the aspiration to perform high quality research that can be published in high impact journals

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 National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing 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 Assistant 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 Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

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

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be preferred.

Job Title : Senior Executive, Research Grant Administration

Job Type : Temp 6 months

Work Location : West side, Singapore

Skills Required : Research, Content Management & Reporting

Job Responsibilities:

Research Grant Administration:

• Provides effective administration of research grant call applications and management of awarded grants
• Assumes the role as SAP Concur reviewer and first-level approver and work with the Finance department to provide the fastest and smoothest approver flow.

Communication of Research Information

• Creates weekly research e-newsletter to communicate information on internal and external grant calls to faculty and research staff members.
• Develops content for the school’s website for research grants, projects and achievements.
• Develops Research-related publications (Research Brochures /Pamphlets)
• Assists with the organisation of the monthly WKWSCI Speaker Series (Research Talks).

Monitoring Research Budgets and Assets

• Monitor budgets and expenditures relating to research grants
• Monitor deadlines for the submission of expenditure reports as well as progress and final reports

Job Requirements:

• Bachelor's degree from a recognised university
• Proven administrative skills including the ability to handle data with accuracy.
• Excellent reporting with some finance working knowledge would be essential.
• Preferably 2 to 3 years of relevant work experience. Prior working experience in an academic institution will be an advantage.
• Sound interpersonal, communication and analytical skills.
• Strong organisational and problem-solving skills.
• Competency in Microsoft Office applications (Excel, PowerPoint, word).
• Ability to do content management and creation of information on research (Website, social media and newsletters)
• Positive attitude with a strong desire to learn new skillsets.

Salary: Up to $3500

Work hours: Mon-fri

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Groups’s PDPA and e2i’s PDPA.” All Curriculum Vitaes will be treated with the strictest confidentiality.

RMA Consultants Pte Ltd

EA License No 93C4403

EA Regn No R1433182

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

ERI@N invites applications for the position of Research Fellow.

Key Responsibilities:

• Specific precipitation
• Liquid-liquid or Liquid/solid extraction
• Simulation of scaled up process.
• Design of continuous process based on the most interesting systems for the selective recovery of the metal ions of interest
• Implementation of the process at pilot scale (~10 L/h or larger) to demonstrate its feasibility and to give first hints for cost analysis from the perspective of development at industrial size
• Development, characterization and scale up of innovative hydrometallurgy-based separation processes from e-waste leaching solutions

Job Requirements:

• PhD in chemical engineering / chemistry
• Candidate with strong background on chemical separation processes, especially hydrometallurgy ones.
• Good record of publications and IPs
• Experience with lab set up or prototype development
• Familiar with chemical elements characterization techniques (Spectrophotometry, ICP, FX…)
• Familiar with Labview, python or process simulation software
• Excellent command of oral and written English - for research purposes

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

Job Description

• Develop, validate and perform bioassays and bioanalytical assays in compliance with FDA/EMA and GLP guidelines
• Refine current method in response to changing requirements of drug development
• Prepare study plan and study data of assays performed
• Analyse and present data/results
• Document work, results, analyses and findings in laboratory notebooks or study folders as appropriate according to workflow
• Draft SOPs and study reports
• Perform literature review for various drug pipelines and assays as required
• Meet project milestones with set quality
• Ensure scientific integrity of studies conducted and reports submitted

Requirements

• BSc or MSc in biomedical science, life science or equivalent
• Prior research and development experience are required
• Proficient in mammalian cell culture and aseptic techniques is a must
• Experience in ligand binding assays mainly ELISA, cell-based assays, SDS-PAGE, western blot and reporter assays is highly desirable
• Good knowledge of cell based (potency) or ligand binding assays required in drug development process
• Proficient with office software (MS office, Teams), and familiar with statistical tools (Graphpad Prism, XLSTAT or PLA)
• Knowledge of bioassays, bioanalytics and its method validation, GLP and ISO17025 is a plus
• Good written and verbal communication skills
• Superior problem solving and troubleshooting skills, attention to details
• Good interpersonal skills

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 looking for a research fellow for the project on ultraprecision fabrication of functional components with additive manufacturing and micro-scale surface treatment. The candidate is required to conduct design and manufacture of the bespoke fixtures and tooling for post-processing of the 3D-printed geometries to meet the industrial requirements. He/she will also be responsible for reporting and coordinating with our stakeholders and writing technical papers.

Qualifications

Interested applicants are required to possess a PhD degree. He/she should have a good understanding in

1. Ultraprecision machining technology with excellent hands-on experience;
2. A solid background of micro-/nano-scale material removal processes and mechanisms with a good track record of publications;
3. Experienced in metal additive manufacturing and its post-processing methods; and
4. Mechanical and non-mechanical surface treatment and finishing techniques.

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 Fellow 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 Fellow will work to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

• A PhD degree in a relevant area
• Good publication record
• Experience in research

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). The School of Computing 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 largescale experimental systems and improving the wellbeing 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 on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

Job Description

Candidate applying for this position shall research, develop and implement AI robotics to create an intelligent environment in the robotics for autonomous manufacturing.

Roles & Responsibilities

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Conduct technology scouting for industrial robotic applications and automation best practices.
• Perform process mapping and feasibility analysis for robotic processes.
• Develop smart robotic automation options, project proposals, and scoping.
• Engineer and conceptualize robotic processes.
• Program robotic motion using simulation-based techniques.
• Execute the project lifecycle for robotic process development and implementation.
• Prepare technical project documentation and presentations
• Develop and optimize advanced robotic algorithms for perception-guided manipulation.
• Maintain and support software components for manipulation systems.
• Collaborate with hardware engineers to integrate software solutions.
• Create and implement transfer learning models for various machine learning tasks.
• Collaborate with domain experts to tailor transfer learning models to specific business needs.
• Utilize transfer learning to enhance expert skill efficiency and applicability.
• Stay updated on the latest advancements in transfer learning and skill adaptation.

Job Requirements

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimum 2 years of experience in industrial robotic automation development and deployment.
• Expertise in ROS and programming languages like C++, C#, Python, or JavaScript.
• Knowledgeable about Linux platforms and command line operations.
• Deep understanding of robot manipulation and kinematics.
• Proficient in CAD software, especially Siemens NX.
• Strong in industrial and collaborative robot programming.
• Familiarity with offline robot programming software like ABB-RobotStudio, Robotmaster, or RoboDK.
• Experience with machine learning frameworks (TensorFlow, Pytorch, Scikit- Learn, Caffe) and computer vision tools (OpenCV, PCL) is advantageous.
• Skilled in working with diverse datasets and applying transfer learning.
• Proficient in rapid prototyping and constructing neural network models efficiently.
• Strong problem-solving skills and analytical mindset.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

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 #6 for 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.

Key Responsibilities:

• Conduct research in the field of neural networks, vision-language AI, and computational narrative intelligence.
• Independently read and critically evaluate existing literature on AI.
• Implement neural networks and carry out experiments under the supervision of a professor
• Write papers and present the research work to a wide audience

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent
• Strong background in Python and PyTorch programming
• Curiosity in learning new knowledge and investigating unsolved problems
• Keen observation for clues that most people may overlook
• Audacity to carry on after temporary setbacks
• Excellent oral and written communication in English for presentation of research work
• Excellent teamwork, sense of responsibility, and interpersonal skills

We regret 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.

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

We are looking for a Research Fellow with experience in working with polymer foams, composites and flame retardant materials in general.

Key Responsibilities

• Work within the framework of the project to achieve and go beyond the project objectives.
• To understand and improve the fire performance characteristics of polymer foams that are used for construction applications.
• To interact and closely work within a multi-disciplinary and multi-cultural team.
• Expected to display a very high degree of professional ethics
• Understand the safety issues while working with polymers and fire protection materials

Job Requirements:

• A PhD in relevant engineering or science disciplines is required;
• Relevant experience (flame retardant materials, understand of urethane chemistry, foams, testing of fire retardancy, etc.) is significant advantage.
• The candidate is expected to be an expert in the handling/processing of polymers, foams and/or fire retardancy.
• The candidate is required to understand insulation mechanisms, and work towards project goals within the timeframe of the project.
• Flame retardancy background is considered as a huge positive.

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

Job Description

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks, and preparation of codebooks.
• Work with other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.

Candidates with relevant work experience may be considered for a Research Assistant (Senior) position.

Please attach a cover letter and a CV, with names and contact information of 3 referees. Applications will be reviewed on a rolling basis. We regret that only shortlisted applicants will be notified.

Responsibilities

• Developing new product according to development requests and involve in improvement of existing products
• Developing application recipes to optimize product design for new and existing products
• Look out for new trends and new products in the market
• Responsible for developing prototypes for customer in a given time frame
• Evaluation of new ingredient submissions
• Conduct food tasting and sensory evaluation
• Maintain proper documentation to support costing, lab scale formulation of new and existing products and any supporting documents.
• Work closely with inter-departments on the development and launch of new or improved recipes
• Perform ad-hoc duties assigned by immediate superior

Job Requirements

• Recognised culinary qualification or similar discipline
• At least 2 - 5 year of relevant experience in restaurant/ hotel business/ food manufacturing industry
• Experience in different Asian cuisine, bakery and Dim Sum would be useful for daily R&D work
• Passionate about food product development
• Creative in food preparation and presentation
• Meticulous with good organizational skills
• Team player with good interpersonal skills
• Proficient with Microsoft Office
• Proficient in Mandarin and English (spoken and written) as need to liaise daily with Mandarin and English speaking associates

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.

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394