TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking machine learning engineers at all levels experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.

Responsibities:

1. Conduct cutting-edge research in machine learning, computer vision or natural language processing.

2. Support and incubate products with machine learning, especially state-of-the-art AIGC techniques such as GPT, Stable Diffusion, etc.

Qualifications

1. Ph.D. degree in Computer Science, Computer Engineering or other relevant majors.

2. Rich research experience in but not limited to the following areas (as the first author of published papers at CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.)

- Image/video search, classification, and recognition

- Object detection, segmentation, and tracking

- Representation learning (multi-modality, pre-training, vision transformer, etc.)

- OCR

- Image/video/multimodal generative models

- Large language models

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

The Smart and Sustainable Building Technologies (SSBT) team under Energy Research Institute @ NTU (ERI@N) focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC systems, lighting systems, building management systems and other novel solutions for the urban built environment sector. We seek a dynamic person with a PhD in engineering, sustainable buildings design or architecture, and a positive attitude to be a core member of the team.

Key Responsibilities:

1. You will need to actively support SSBT projects at ERI@N in terms of project R&D, technology evaluation & consultancy, project coordination, and customer interfacing.

2. The role will include the following:

• Perform as senior technical lead for SSBT projects involving industry partners, government agencies and/or external collaborators.
• Provide inputs for conceptualization of research proposals related to sustainable urban solutions, green buildings, low-carbon district level solutions and agritech applications.
• Lead in preparation and submission of new research proposals or tenders.
• Leverage on extensive experience in academia, industry or public sector agencies to establish multi-disciplinary research collaborations.
• Guide technical analysis and research on energy modelling and simulation for green building and sustainable farming systems.
• Mentor junior team members to achieve positive research outcomes and project objectives.
• Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners, including delivering presentations and guiding discussions or workshops as necessary.
• Co-lead in authoring of technical publications for research projects.

3. You will be an integral part of the SSBT team and will need to lead or participate in project discussions especially related to project implementation details.

Job Requirements:

• PhD in engineering (e.g. Civil, Mechanical, Clean/Renewable Energy, Building or IT related), sustainable buildings design or architecture.
• Experience in sustainable design/analysis for the built environment, Green Mark or LEED projects, M&E construction and development (min 5yrs preferred).
• Proficient in MS Office applications, BIM software, energy modelling or CFD software.
• Should be a very hands-on person, willing to take on non-routine tasks.
• Possess good communication (written and verbal) skills.
• Able to manage multiple stakeholders and work under tight timelines.
• Positive attitude, ability to work independently as well as in a team.
• Familiarity with green building technology, HVAC system study and optimization, sustainable building design, building energy modelling, CFD modelling and BIM for built environment applications is preferred.

We regret that only shortlisted candidates will be notified.

The MedTech Catapult has a dedicated objective of curating and accelerating the development of high potential MedTech projects through an in-house product engineering unit. This productization unit is responsible for supporting the development of technologies through the medical device development cycle to produce full-fledged hardware product systems. The Senior System Engineer will report to the Principal Engineer.

Job Responsibilities:

• Support systems engineering efforts for complex medical solution
• Supporting and reporting on all phases of the product development and operations lifecycle including hardware assembly and integration, software builds, loads and updates, configuration control, requirements, design, and test execution.
• Collaborate with a diverse technical team to create, update, and maintain documentation that is or will become part of the product design history file (DHF).
• Support the development and maintenance of product specifications, requirements documents, hazards analysis documents, usability and V&V documentation, and other technical documentation.
• Conduct Risk Management activities to ensure that design and process shortcomings are identified and appropriately addressed. Perform Risk Analyses, including Fault Tree Analysis (FTA), Operator Misuse Analysis (OMA), and Failure Mode and Effects Analysis (FMEA) activities.
• Provide technical guidance for product design, development, integration, testing, and reliability improvements.
• Owns and drives resolution of design issues/defects
• Works with QA team to specify and document product tests for compliance to regulatory standards.
• Exercises judgment within defined procedures and practices to determine appropriate action.
• Write and review documentations for QMS.
• Design risk analysis, risk management, Verification and Validation procedures.
• Interface with external parties (design houses) to communicate product requirements, and subsequent knowledge transfer to build internal capability
• Supplier development
• To support other operational activities of the Programme Office

Requirements:

• Bachelor's degree in System Engineering, Electro-mechanical engineering or relevant degree in a related field
• >5 years experience in medical devices (e.g. hardware, connected devices) managing product design and development, with hands-on experience in system architecture and integration of mechatronic systems
• Extensive knowledge in software and system integration
• Experience managing QMS and proficient with GMP guidelines and regulations which include managing system verification and validation
• Good collaboration skills, organised and detailed
• Demonstrate strong interpersonal skills and leadership skills

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 MedTech Catapult is a national initiative for accelerating the development of high-value MedTech projects through an in-house product engineering unit. The objectives of the Programme Office are to i) support the operations of the MedTech Catapult, ii) develop strategies and seed partnerships to support MedTech Catapult activities; and iii) oversee and administer the grants. The Senior Assistant Director will report to the Deputy Director, Programme Office.

Job Responsibilities

• Work with stakeholders to develop and execute the overall programme strategy for MedTech Catapult, including plans for ecosystem development
• Specifically, to execute and manage programme operations concerning budget, finance, procurement, HR, facilities and legal etc.
• Contribute to refining the strategic direction of MedTech Catapult and support the development of refined strategies.
• Set up, convene and engage steering committee to provide six-monthly updates and to seek inputs to refine the direction of the programme
• Key interface with A*STAR HQ for reporting and alignment to SOPs and support programme needs under A*STAR requirements i.e. Business continuity manager, Data protection officer
• Coordinate and prepare accurate and timely reports to internal and external stakeholders
• To support grant management, tracking and review, as well as enrol and engage with KoLs and advisory members to ensure that funded programmes remain on track to achieve outcomes, milestones, performance indicators and budget utilization.
  • Organise and participate in the grants administration process
  • Set up, convene and engage project evaluation committee to provide critical evaluation of potential projects seeking to enter MedTech Catapult.
  • Monitor and track the progress, timeline, and budget of projects
• To set up and manage digital tools for programme and grants tracking
• Manage Associate, Programme Office as direct report
• To work with internal and external functions to support other operational activities for the Programme Office

Requirements

• B.S in Electrical Engineering, Computer Engineering, Mechanical Design, Bioengineering or other relevant experience in a related field.
• >10y of working experience in either medical device/life sciences industry, research & development, business development, strategic/corporate planning or any other relevant roles
• Familiarity with programme and grants management is a plus
• Possess excellent networking, communication and writing skills.
• Meticulous with attention to detail
• Demonstrate ability to juggle priorities and meet deadlines.
• Excellent written and verbal communication skills
• Enjoy working in a small team, start-up environment

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 MedTech Catapult is a national initiative for accelerating the development of high-value MedTech projects through an in-house product engineering unit. The objectives of the Programme Office are to i) support the operations of the MedTech Catapult, ii) develop strategies and seed partnerships to support Catapult activities; and iii) oversee and administer the grants. The Senior Assistant Director will report to the Deputy Director, Programme Office.

Job Responsibilities

• Work with stakeholders to develop and execute the overall programme strategy for MedTech Catapult, specifically in business development
• Develop and implement a business development and marketing plan to achieve business goals and objectives of MC.
• Build a robust and sustainable MedTech Manufacturing ecosystem comprised of product owners, solution & technology providers, manufacturers, system integrators, institute of higher learning, research institutes, and public agencies
• Establish a deep understanding of MC?s key features and activities by interfacing closely with the programme leadership and productization unit
• Work with Steerco, Key Opinion Leaders, partners and internal stakeholders to develop and refine the value proposition of MC to its partners.
• Develop and implement marketing plan, whilst managing the budget for marketing needs
• Initiate and establish relationships with potential partners across the ecosystem, including other public sector agencies, universities, hospitals, suppliers, design houses, contract manufacturers and industry players.
• Develop deep relationships with key customers/partners, identify business opportunities for growth, negotiate and close business deals.
• Lead conversations with customers to capture business requirements, identify problem statements to scope proposals for collaboration.
• To support other operational activities for the Programme Office

Requirements

• B.S in Bioengineering, Business, Marketing or other relevant experience in a related field.
• >10 of working experience in business development and marketing for medical device/life sciences industry, research & development, incubators/accelerators or any other relevant roles
• Experience with setting up and maintaining a customer relationship management system
• Familiarity with life science instruments and medical device value chain and network is a plus
• Familiarity with local life science instruments and medical device ecosystem is a plus
• Experience with creating marketing materials is a plus
• Possess excellent networking, communication and writing skills.
• Demonstrate ability to juggle priorities and meet deadlines.
• Excellent written and verbal communication skills
• Enjoy working in a small team, start-up environment

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims at studying various threats in software defined networks (SDN) and developing security solutions for detecting anomalies and mitigation. The Research Fellow (RF) will be responsible to develop techniques such as AI/machine learning/deep learning, to model the normal behaviours and detect anomalies in SDN. The RF will also explore approaches for detecting and mitigating attacks. The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.

Qualifications

• A PhD in Computer Engineering /Electrical Engineering /Computer Science and related disciplines, with knowledge and experience in one or more areas - network security, software defined networking, AI /machine learning /deep learning.
• Strong research record with independent research and development capability.
• Software skill for testbed Experimentation and proof-of-concept demonstrations.
• Open to Fixed Term Contract

Our client is an Life-science MNC, one of the leading players in the Trading & Distribution sector. Due to business needs, they are now recruiting a Product Specialist to be part of their team for ongoing transformation projects. They are located in the West.

The Responsibles of the Product Specialist are:

• Responsible for managing existing and growing new accounts in various industries, which includes Academic, Research, Healthcare and/or Life Science.
• Responsible for selling scientific devices and consumables with the ability to support demonstrations
• For Product Specialist (Healthcare) – Selling scientific and medical devices such as diagnostic reagents with the ability to support demonstrations (Relevant training will be provided).
• Provision of pre-sales and post sales technical and application advice and support to customers.
• Business development of new and current products to maintain our market leadership
• Building and maintaining good relationships with prospective clients and key account opinion leaders.
• Create, submit sales report on our CRM software.
• Opportunities for overseas product training are available.
• Ad-hoc duties as assigned.

Requirements:

• Min Degree in Life Sciences related discipline
• Good communication and interpersonal skills.
• Experience in handling laboratory equipment

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

EA License No: 19C9682

EA Personnel No: R2198636

EA Personnel Name: Oh Puey Xin

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Vincent Tan on online decision making under a project on “Fundamental Limits for Statistical Learning”.

The main responsibilities of the position include:

(i) To perform excellent research with Prof. Vincent Tan and his team of students and research fellows, leading to publications in top venues in machine learning;

(ii) To teach one class in the Mathematics department per year.

Qualifications

• Qualifications / Discipline: Ph.D. in Applied Mathematics or Computer Science

• Skills: Mathematical Optimization and Machine Learning

• Experience: 4 years of doing research in mathematical optimization and machine learning with relevant publications in top venues.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of English, Linguistics and Theatre Studies at Faculty of Arts and Social Sciences, National University of Singapore (NUS) is recruiting ONE Research Fellow to work on a Social Science and Humanities Research (SSHR) Fellowship project, “Archipelagic Mappings and Performance Routes, Routers, and Networks (1840–1940),” directed by the Principal Investigator (PI), Assistant Professor Alvin Eng Hui Lim. The position will be based in Singapore with an intended start date of August 2024 for a period of two years.

The SSHR Fellowship-funded project seeks to study early waves of interculturalism and performance-making during the colonial period and identify obvious gaps in research on the theatrical networks and performance routes of the nineteenth century to early twentieth century. The project will theorise and document the circulation and travels of theatre, dance, and performance against the backdrop of colonial expansion, territorialisation, cultural diplomacy, trade, and technological development between 1840 to 1940. By situating Singapore as a significant node, the study will trace the networks that existed between urban centres, port cities, and the sea routes (namely, along the Malacca and Singapore Straits and diverging across Australia, Hong Kong and the Southern provinces of China, to name a few) that performance practices and performers travelled on as they embarked and disembarked, evolved, or took root across places in the region. These networks will be visualised and narrated through storymaps and digital scholarship, ensuring that the histories of individual traditions are not told in isolation but interwoven into a connected history of performance-making in the region.

The successful applicant will be offered a contract of 24 months from the date of hire. S/he will receive an attractive monthly remuneration depending on experience and qualifications. S/he will be considered a full-time staff member of the National University of Singapore, applicable for staff benefits such as medical coverage, a fixed amount in a flexible spending account for health-related expenses, vacation leave, corporate discounts, and staff concession rates for part-time government subsidized graduate programmes offered by NUS. The position will be based in Singapore, although some research travel may be permitted. Singapore citizens and permanent residents are eligible for Central Provident Fund benefits.

Scope and responsibilities

The Research Fellow (Theatre and Performance) will work with the Principal Investigator (PI) to:

• Collect, process, manage, and analyse data from archives and historical collections. Such data may include information from archival documents, books, travelogues, photography, maps, old newspapers, and journals.
• Support PI in designing and maintaining a performance database, a searchable resource accessible to the public.
• Use digital research methods to produce story maps and narrate performance histories.
• Support in editing and proofreading documents and manuscripts.
• Design and prepare presentation materials for meetings, conferences, etc.
• Contribute to papers, book chapters, research reports, etc.
• Provide logistical and administrative support for an international workshop
• Ad hoc logistical, administrative, and research tasks.

Qualifications

Applicants should:

• Have at least a PhD in Theatre Studies, History, Performance Studies, Asian Studies or equivalent. Fresh graduates are welcome to apply.
• Experience in conducting historical research.
• Multilingual ability to read and write in any of the following languages will also be highly advantageous: Traditional Mandarin Chinese, Bahasa Melayu, or Tamil.

Competencies

• Excellent writing and strong communication skills in English, including an ability to present research in both academic and non-academic venues
• Meticulous and has good project management skills
• Curiosity and passion to explore new concepts, methodologies and technologies
• Capable of identifying and learning quickly the most suitable tools for the research
• Research experience in historical research, digital archiving, and/or Asian performance research
• Good team player and ability to multitask effectively

A postdoctoral research scholar position is available at Singapore Nanyang Technological University (NTU). The main role is to design and fabricate novel soft gripping systems. Potential candidates should be able to independently conduct research with strong self-motivation and exploration spirit.

Key Responsibilities:

• Perform multiphysics modeling and simulation of soft grippers.
• Fabricate soft gripper components and structures using advanced manufacturing techniques, specifically 3D printing and other photopolymerization-based methods, ensuring the materials meet the required mechanical properties for effective and flexible gripping.
• Characterize the mechanical properties of soft materials and structures, utilizing expertise in mechanical design and characterization, to ensure reliability and efficiency in real-world applications.
• Collaborate with cross-functional teams within the SGSR CREATE Programme and potentially with external partners, to integrate the multi-mode sensing array into the soft gripper system for enhanced functionality.
• Publish research findings in high-impact journals and present at international conferences .
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• Candidates should hold a Ph.D. Degree in Materials Science and Engineering, Mechanics, Biomedical Engineering or related field.
• Expertise in mechanical engineering, soft materials, interface and surface structure.
• Solid knowledge in advanced manufacturing of soft structures.
• Solid knowledge in Modeling and mechanical simulation.
• Capable of design and assemble of device prototypes.

We regret that only shortlisted candidates will be notified.

• Approach and interview patients and invite them to join related clinical research studies
• Performing literature reviews for their research team
• Conducting research and summarizing findings on project findings
• Provide guidance to more junior researchers.
• Analyze data using various statistical methods
• Write reports to summarize data and the implications of the result
• Data entry, data management, and data analysis

Job Requirements

• Minimum possess of Degree in Science
• Good communication skills
• Able to work in a team

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

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

“JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties, please be aware of scams impersonating JobStudio and our employees. We will not be liable for loss arising from scams.”

JobStudio Pte Ltd

EA License No: 10C4754

EA Personnel: Michelle Chai Hui Lu

EA Personnel Reg No: R1984808

Junior Investment Analyst

Location: RAFFLES PLACE

Working days: 5 days (Mon - Fri)
Working time: 9am to 6pm
Salary: $4000 - $6500

Job Responsible:

• Track changes in macroeconomic policies, economic conditions, regulatory policies, market liquidity, and other factors, analyze and uncover market trends and potential impacts.
• Able to deeply study the fundamentals of the covered industries through big data tools to assist in the construction of target industries worth investing in.
• Real-time tracking of industry development trends and business dynamics of leading companies, timely communication, and reporting
• Create financial models and use big data tools to conduct in-depth research on the fundamental aspects of the covered industries, assist in constructing investment-worthy sectors.
• Build extensive industry connections, exchange industry research findings with investment banks, securities firms, and other institutions, discuss hot topics, with the aim of forming investment recommendations.

Requirement:

• University degree or above in finance/ statistics/ economics or related fields.
• Minimum 2-3 years of relevant experience as a buy-side research analyst preferably with a verifiable documented track record of strong stock picking performance, capable of independently conducting industry research projects.

https://wa.me/6596420989

WhatsApp: +65 9642 0989 (Han)

Email: [email protected]

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop/produce/investigate the development of a Meta Executable Operational Semantics for Efficient Smart Contract Verification, characterizing the features of existing programming languages for smart contracts.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Analysis of existing smart contracts programming languages and extraction of their features.
  2. Development of a meta-semantics able to capture those features presents in smart contracts programming languages and to represent smart contracts written in them.
  3. Formalization of a semantics for the Solidity programming language for smart contracts using the meta-semantics developed in ii.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of Programming Languages, Languages Semantics, and Logic.
• Have a PhD degree in Computer Science or elated areas.
• Knowledge of Theorem Proving will be advantageous

Description:

In this position the appointee will support the research project through conducting literature reviews on Employee-Driven Innovation and assist in the analysis of qualitative data. The appointee will report to the Vice President of Strategic Partnerships and Engagement with the following professional responsibilities:

• Perform data analysis, specifically qualitative data analysis
• Undertake literature reviews, including search, analysis and writing functions.
• Draft and edit research reports/articles and presentations.
• Support any other matters/projects that may require assistance from time to time.

Duration:

• 1 April 2024 to 30 June 2024

Location:

• Clementi

Working Hours:

• Monday to Friday, 8.30am to 5.30pm

Salary:

• $15/hr

Requirements:

At least a Bachelor’s degree with preferably an emphasis in one of the following:

• Psychology, Education or related disciplines
• Strong logical thinking and analytical skills
• Possess data management and cleaning skills
• Able to conduct qualitative analyses such as thematic analysis
• Excellent written and verbal communication skills
• Good report writing skills
• Excellent organisational and planning skills
• Possess the ability to take initiative and to work flexibly, as part of a team, as well as independently with minimum supervision
• Strong sense of responsibility and positive working attitude.
• Able to work within deadlines
• Good problem-solving skills
• Observe a code of strictest confidentiality at all times

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

[email protected] (Registration no: R1107390)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)

3 Shenton Way, #19-01 Shenton House, Singapore 068805

T: 6337 3183 | F: 6337 0329 | W: www.successhrc.com.sg

Job Summary:

A Science Lab Assistant provides essential support to educational laboratories by assisting in various laboratory activities, ensuring equipment maintenance, and adhering to safety and procedural protocols.

Job Responsibilities:

• Provide technical support to the teachers-in-charge of science, contributing to students' learning experience by assisting with the preparation of materials and apparatus for practical work.
• Ensuring that laboratory safety rules and risk-assessment guidelines are adhered to.
• Assist HOD(Science) to collate existing resources, maintain stock checks, place orders, take care of deliveries and invoices as well as keep departmental financial records.
• To perform any other duty assigned by School Leaders, HOD(Science) and other assigned School Staff

Requirements:

• Good understanding of laboratory safety would be essential.
• Preferably have studied science in school or a recognized institute of learning
• At least ‘O’ Levels certificate or minimum 2 years experience working in a primary school laboratory
• Good communicator, organized and practical,
• Proficient in MS Office, Excel, etc

Specifications:

• Location: Woodlands
• Working hours: 7.30am - 5pm

Our client is an established company specialising in Biomedical and Manufacturing. They are expanding and growing at a fast pace and now looking to hire a Microbiologist to support the growth. They are located in the West – easily accessible.

The Responsibles of Microbiologist are:

• Execute microbiological tests following established SOPs, aligned with relevant standards and regulatory mandates.
• Provide supervision to QC Technicians, guiding them through microbiological testing processes.
• Maintain a ready supply of lab materials to facilitate uninterrupted testing.
• Lead laboratory investigations for out-of-specification results and environmental monitoring findings. Collaborate with process owners to determine root causes and implement corrective/preventive measures.
• Update SOPs to align with evolving standards and regulatory requisites.
• Facilitate external audits by certification bodies and regulatory inspections.
• Innovate and automate testing processes to enhance efficiency and effectiveness.
• Oversee and guide the production and engineering teams to maintain high hygiene standards and avert microbial contamination.

Job Requirements:

• Minimum Diploma in Life Science or related field
• At least 3 years relevant experience in Micro Lab
• Experience with ISO 13485 is an added advantage

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

• Email Address: [email protected]
• Recruitpedia Pte. Ltd.
• EA License No. 19C9682
• EA Reg. No. R2198636 (Oh Puey Xin)

General Overview

The Operations Research Analyst will be responsible for applying advanced analytical and mathematical methods to optimize LNG throughput operations within our business group. The successful candidate will work closely with cross-functional teams to develop and implement models, algorithms, and decision support tools to improve efficiency, minimize costs, and enhance overall business performance.

Roles and Responsibilities

• Conduct comprehensive analysis of LNG throughput processes and identify areas for optimization and improvement.
• Develop mathematical models, algorithms, and simulations to solve complex business operational problems related to LNG storage optimisation, scheduling, and slots allocation.
• Collaborate with engineering, logistics, and commercial teams to gather relevant data and insights for modeling and analysis.
• Utilize optimization techniques such as linear programming, integer programming, mixed-integer programming, simulation, and stochastic optimization to improve decision-making processes.
• Design and implement decision support systems to assist operational teams in making real-time decisions related to LNG throughput.
• Analyze operational data and performance metrics to assess the effectiveness of implemented solutions and identify further optimization opportunities.
• Communicate findings and recommendations to stakeholders through clear and concise presentations, reports, and visualizations.
• Stay abreast of LNG industry trends, emerging technologies, and best practices in operations research and apply relevant advancements to enhance LNG throughput operations.
• Collaborate with external partners, consultants, and research institutions to leverage expertise and resources for solving complex operational challenges.

Work Experiences

• Minimum of 5 years of experience in applying operations research techniques to solve real-world problems, preferably in the energy or LNG industry.
• Proficiency in mathematical modeling, optimization algorithms, and simulation tools such as MATLAB, Python (NumPy, SciPy), or R or GAMs.
• Strong analytical skills with the ability to translate complex data into actionable insights and recommendations.
• Experience with software tools for optimization (e.g., Gurobi, CPLEX) and simulation (e.g., Arena, Simio) is highly desirable.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present technical information to non-technical stakeholders.
• Demonstrated ability to manage multiple projects simultaneously and deliver results within tight deadlines.
• Knowledge of LNG operations, supply chain management, and energy market dynamics is a plus.

Education Requirements

• Degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related field from a reputable university.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant (The Institute for Environment & Sustainability (IES) @ the Lee Kuan Yew School of Public Policy, National University of Singapore)

IES is looking for proactive and enthusiastic candidates for full-time research assistants to be part of our growing team focused on building climate and sustainability policy design, policy dialogues, and transition pathways in Singapore, Southeast Asia, Asia, as well as within transnational and global governance initiatives.

Research assistants will engage not only in research projects but also in our ongoing efforts to further develop the Institute including carrying out seminars, workshops, and policy dialogues.

The job scope includes:
· Assisting in events management for the Institute
· Supporting the PIs with research /project administration within the Institute
· Supporting ongoing applied research projects on water policy/governance conducted in the Institute, including:
o The conduct of literature reviews
o Design, preparation and execution of research studies
o Analysing research data (qualitative / quantitative) and packaging them into sections of a report
o Manuscript preparation for publication/reports

Job Requirements

Requirements:
· Able to start soon
· Have a Bachelor’s or Master’s degree in economics or another social science discipline, with shown interest in water and/or environmental issues
· Demonstrated rigour in literature review and report writing
· Demonstrated research skills in conducting quantitative and/or qualitative analysis
· Demonstrated experience in project/research administration and management
· Able to commit to meeting timelines/work milestones and able to multi-task
· Live and be allowed to work in Singapore

The contract is renewable for 1 year after 3 months of probational period.

The Institute for Environment & Sustainability (IES) @ the Lee Kuan Yew School of Public Policy, National University of Singapore is a university-based think tank devoted to helping advance fit-for-purpose policy solutions for Southeast Asia’s most pressing environmental and sustainability challenges.

Our aim is to aid governments and private sectors close the gap between sustainability commitments and actual outcomes by informing and equipping policymakers with the latest innovative thinking. We empower agents of change to identify, design, and trigger effective policy pathways by generating Original Research, Stakeholder Dialogue, and Capacity Building.

NTU-PKU Joint Research Institute mainly focus on joint research in Multi-Modal Big Data Analytics for Smart Cities. The research will support Singapore’s Smart Nation vision that harnesses technology and data to improve living standards, strengthen communities, and create more business opportunities.

The project involves the use of deep learning for object detection, human pose estimation, and 3D face modeling & simulation.

The Senior Research Engineer will be responsible for the development of Computer Vision solutions, as well as planning, implementing, and management of GPU computing infrastructure for research on Computer Vision, Image Processing, and Multimedia Forensics.

Key Responsibilities:

• Working in research teams on Computer Vision projects in object detection, action & event recognition, and scene understanding
• Design, implementation, and management of the GPU computing infrastructure for ROSE Lab
• Hardware installation, and module level failure diagnosis and repair, as well as liaison and management of vendors for systems, storage, network, and server room facilities

Job Requirements:

• Bachelors degree in Computer Science and/or Engineering, or related field
• At least 10-years’ experience in Computer Vision, Linux systems and NVIDIA GPU management and related areas
• Research experience in Computer Vision, Pattern Recognition, Deep Learning, and working with large-scale datasets, in particular in a university or research lab
• Proficiency in systems such as Linux (Ubuntu, centos), shell scripting, Docker, NFS and MooseFS, is mandatory.
• Proficiency in software such as Caffe, PyTorch, TensorFlow, OpenCV, and programming languages such as C/C++ and Python is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be a strong advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds

We regret that only shortlisted candidates will be notified.

Your responsibilities include developing plans for the research and evaluation of person-centred initiatives, alongside coordinating and conducting studies to support the department’s initiatives. You will play a pivotal role in the recruitment and training of patients, caregivers and residents, as well as designing and collaborating on person-centred research projects with various institutes and departments. Additionally, supporting activities related to publications in media and professional journals will be a part of your remit.

You will provide technical guidance and research support in the domain of analytics and programme evaluation for events, training workshops, projects, and other initiatives. This involves participating in fieldwork and data collection for research projects as necessary, ensuring that all research studies comply with established protocols, documentation, and ethical standards.

You will be involved in outreach and network with Institutes of Higher Learning for research collaborations. Providing support for assigned projects and activities will also be a significant part of your duties.

Requirements

· Master’s Degree in Public Health / Social Sciences / Epidemiology / Statistics /Psychology or related science discipline

· Prior experience in health services research is preferred

· Experience in conducting reviews with good writing skills

· Project management experience in research domain will be advantageous

· Proficient in Microsoft Office applications

· Excellent interpersonal, communication, coordination and time management skills

The MedTech Catapult is a national initiative for accelerating the development of high-value MedTech projects through an in-house product engineering unit. The objectives of the Productisation Unit is to design and develop technologies through the medical device development cycle to produce full-fledged hardware product systems in tandem with partners. The Lead of R&D will report to the Programme Director and lead a team of 5 ? 9 engineers.

Job Responsibilities:

• Lead and manage diverse engineering team to translate technologies through product development and engineering across a full-life cycle of product development and from proof of concept/feasibility to pilot production
• Execute complex engineering projects by applying deep working knowledge of the technology trends - emerging technologies, sustainiblity, bringing teams through design & development, risk analysis, verification and validation whilst applying best practices for development and testing in terms of design patterns, reusable components, and automation etc as applicable.
• Knowledgeable in industry standards and regulation and author/guide policies, procedures, including coaching of new employees;
• Work with both internal and external stakeholders to define project plans and budgets, develop and maintain project timelines, establish and monitor project risks and risk register and lead the project teams to achieve project deliverables and objectives in accordance to ISO 13485.
• Interface with external parties (design houses) to communicate product requirements, and subsequent knowledge transfer to build internal capability
• Review and approve documentations for QMS, approve risk analysis, risk management, verification and validation procedures.
• Apply disciplined, fact-based judgment to process recommendations.
• Consistently demonstrate structured thinking
• Manage resources allocated to the PU efficiently

Requirements:

• M.S in Electrical Engineering, Computer Engineering or Mechanical Design
• 15+ years of experience in medical device industry in R&D, and/or related area
• Experience in the areas of design for lean six sigma, Quality through design, Extreme programming and Systems Engineering
• Experience with hardware or software design and development and associated skills relating to QMS, design and developing and testing
• Experience with product development and design control from research/concept to product manufacture for at least 3 products, experience with SaMD
• Up to date with latest QA/RA requirements i.e. country regulations, standards
• Solid knowledge of regulatory standards such as ISO13485, ISO14971, 21 CFR Part 11, IEC 60601, IEC 62304 and AAMI standards applicable to medical devices and software.
• Ability to own supplier/vendor relations including evaluation and coordination
• Demonstrated experience managing a diverse technical team with budgetary responsibility
• Possess excellent networking, communication and writing skills
• Demonstrate ability to juggle priorities and meet deadlines
• Excellent written and verbal communication skills
• Enjoy working in a small team, start-up environment

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Ren Weiqing on online decision making under a project on “Fundamental Limits for Statistical Learning”.

The main responsibilities of the position include:

(i) To perform excellent research with Prof. Ren Weiqing and his team of students and research fellows, leading to publications in top venues on numerical methods for multi-phase flows on elastic substrates and related contact line dynamics;

(ii) To teach one class in the Mathematics department per year.

Qualifications

• Qualifications / Discipline: Ph.D. in Applied Mathematics or Computer Science

• Skills: Computational mathematics with a focus on numerical methods for partial differential equations

• Experience: 4 years of doing research on strain gradient elasticity problem, numerical homogenization of singular perturbations in elasticity and performed numerical analysis for heterogeneous multiscale methods

NLCS (Singapore) believes that each employee makes a significant contribution to our success and that contributions should not be limited by the assigned responsibilities.

Therefore, this position description is designed to outline primary duties, qualifications, and job scope, but not limit the employee, nor NLCS (Singapore), to only the work identified. It is the expectation of the school, that each employee will offer his/her services wherever and whenever necessary to ensure the success of our organisation.

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.

NLCS (Singapore) is looking for an enthusiastic, highly qualified and committed Junior School Computer Science Teacher, 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. We have just started our third year of operation and already have over 1000 students enrolled.

Teaching, learning & assessment

• Demonstrate passion for the subject and strive to engender the same in students.
• Plan and deliver lessons that inspire, motivate and challenge students whilst ensuring that they are fully prepared for assessment tasks and are able to make the progress expected of them.
• Encourage students to take a scholarly approach to their studies, fostering a love of learning and promoting the pursuit of their academic interests beyond the confines of the curriculum.
• Create and maintain an engaging, exciting classroom environment that encourages discussion, debate and collaboration between students.
• Ensure that students have an excellent understanding of the content outlined in departmental curriculum plans, and are able to apply it effectively.
• Build stretch and challenge into teaching at every opportunity.
• Use a variety of formative and summative assessment techniques to measure students’ progress and achievement, and inform teaching.
• Provide individualised support to students who are underperforming.
• Make effective and timely use of feedback (written, verbal and otherwise) to support students in understanding their current achievement levels and what they can do to improve them.
• Maintain high expectations of the quality of students’ work, liaising with the Head of Department and other relevant staff to implement support strategies for those who are underperforming.
• Maintain high expectations of students’ engagement and work ethic, liaising with the Head of Department and other relevant staff to implement support strategies for those who are not meeting them.
• Maintain high expectations of students’ behaviour, collegiality, attendance and punctuality, in line with School policy, ensuring that relevant procedures are followed if these are not met.
• Ensure that teaching fosters the development of students’ knowledge and use of academic English, implementing appropriate support strategies for EAL students.
• Implement classroom strategies prescribed by the Individual Needs Department for students with an Individual Needs Plan (INP).
• Adopt a positive and developmental approach to academic monitoring activities such as lesson observations, work scrutiny, learning walks and student voice.
• Assess, record and report on the attainment, effort and conduct of students in line with School and departmental assessment policies and procedures.
• Assist in the development of departmental schemes of work and resources.
• Maintain accurate records of student attendance through the School’s attendance system.
• Fulfil a teaching commitment in line with the School policy and allocation.

Pastoral care

• Always consider students’ welfare and best interests, striving to promote both at all times.
• Support the strong pastoral emphasis within NLCS (Singapore) as a tutor, including teaching PSE. Manage a lively, enthusiastic, orderly and safe learning environment fulfilling the responsibilities of that position.
• Develop strong relationships with students, providing guidance and support in academic, pastoral and enrichment matters.
• Liaise with relevant colleagues with a focus on supporting student’s academic and personal development.
• Maintain regular and positive relationships with parents with a focus on supporting their child(ren)’s academic and personal development; the spirit of communication with home should be personal and individual.
• Liaise with and support the Pastoral Leadership team in all matters pertaining to pastoral well-being, responsibility and strategy.
• Working alongside the Senior School Management Team to contribute to academic, pastoral and enrichment activities that broaden students’ experiences and enhance the general life of the school.
• Follow the school’s policies and procedures with regard to pastoral provision.

Enrichment

• Support the School’s academic enrichment programme by contributing to the McCabe Lecture series, supporting student-led academic societies and delivering taught enrichment sessions.
• Attend School events and activities as directed by the Principal and voluntarily support events such as trips, Arts Festival events, sports fixtures (home and away) and musical performances by students, after school and at weekends.
• Deliver co-curricular activities in line with School policy.
• Support the House Competition by attending events and encouraging student participation.

General responsibilities

• Play a full part in the life of the School, supporting its distinctive aims and ethos, and be prepared to actively participate and contribute to the community activities that exist within the School.
• Maintain familiarity with the School’s Guiding Statements, striving to embody and promote them at all times.
• Work effectively as part of a subject and pastoral team.
• Maintain high levels of professionalism and conduct, acting as a positive role model for students.
• Carry out supervisory duties as per published duty rotas.
• Continue own professional development in relevant areas, including subject knowledge, pedagogy and others related to career and personal development goals.
• Attend assemblies, staff meetings and training sessions as per published calendars.
• Engage actively in the appraisal process.
• Contribute to the preparation and implementation of academic and pastoral development plans, policy and practice.
• Treat all students with dignity, building relationships rooted in mutual respect, and at all times observing proper boundaries appropriate to a teacher’s professional position.
• Abide by the expectations laid out in the Academic Staff Handbook and the Staff Code of Conduct.
• Maintain familiarity with, and follow, all school policies.

Safeguarding

• Abide by the School safeguarding policy and keep abreast of any changes

Job Description

• Industry/ Organization Type: Market Research & Analysis
• Position Title: Sales Executive (Market Research)
• Working Location: Queenstown
• Working Hours: 5.5 days (Monday to Friday, 11 AM – 7 PM, Saturday half day)
• Salary Package: Basic Salary up to $3,600 + Transport Allowance + Bonus
• Duration: Contract (Convertible to Permanent)

Key Responsibilities

• Conduct door-to-door interviews to gather market research data.
• Represent the company professionally to the public and articulate the purpose of the research clearly and concisely.
• Prepare and maintain accurate records of interviews and data collected.
• Meet or exceed set targets for number of interviews conducted and information gathered.
• Ensure the confidentiality and integrity of the data collected.
• Persuade respondents to participate in interviews in a non-intrusive and ethical manner.
• Provide feedback to the research team on potential improvements to interview scripts and procedures.
• Coordinate daily travel routes to maximize efficiency and coverage of designated areas.
• Uphold company policies and standards during all interactions.
• Stay informed on market research techniques and industry trends.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Minimum 1 year of experience in sales or equivalent.
• Proven experience in sales, customer service, or a related field where direct interaction with the public is key.
• Strong interpersonal and communication skills.
• Familiarity with data collection and entry; experience with research methods is a plus.

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 #66223 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 MedTech Catapult Programme Office is a new initiative at A*STAR, Singapore and is responsible for providing a focal control point for the development and integration of MedTech capabilities whilst fostering MedTech community across A*STAR. The MedTech Catapult also has a dedicated objective of curating and accelerating the development of high potential MedTech projects through an in-house product engineering unit. This productization unit is responsible for supporting the development of A*STAR technologies through the medical device development cycle to produce full-fledged hardware product systems. The Senior Product Manager will report to the Deputy Product Director.

Job Responsibilities:

• Is responsible for the product planning and execution throughout the Product Lifecycle. This includes overall project planning, execution, monitor/control, closure and general conduct of complex project
• Ensure successful delivery of project scope and targets while managing project risk, quality, delivery, scope, schedule, and budget
• Reports to the Project OIC if there are any deviations or anticipated problems which may materially affect the project and where necessary provide updates to stakeholders
• Creates and updates project record in a Project Management System (e.g. A*STAR Project Management System where applicable)
• Interface with stakeholders
• Documentation of project challenges upon closure and build continuity in management process
• Initiate and drive changes for project management optimization
• To support other operational activities of Programme Office

Requirements:

• Bachelor or Masters in any engineering / project management related discipline
• At least 3 years of project management experience in product development
• PMP certifications or equivalent
• Good collaboration skills, organised and detailed

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.