Job Description

• Working on research projects related to building research capacity, harnessing data and strengthening health systems to improve outcomes in community emergency and unscheduled care.
• Collaborating on population health approaches to address demand for emergency care, and to develop and test alternative care pathways.
• Provide guidance to more junior researchers.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD or MD in a relevant area of health-related Social Science.
• Minimum 6 years of relevant research experience.
• Able to work independently and in teams.
• Well-developed interpersonal skills and an ability to interact with a wide range ofpeople, including clinicians and other health care professionals.

We regret that only shortlisted candidates will be notified.

Responsibilities

• The candidate will be required to perform electrical testing, test data analysis & automation across SiC power and RF/mmWave GaN devices.
• The candidate hands-on characterization work will encompass from low voltage I-V/C-V to high voltage breakdown, switching performances for SiC, and DC & high-frequency characterizations for RF/mmWave regime.
• The candidate must have hands-on experienced in handling Keysight 4156C and B1500A/Keithley K4200 Device Analyzer, B1505A High Power Device Analyzer with N1265A UHC Fixture and Keysight 4284A/4285A and E4908A LCR Meter independently on their own.
• It will be a plus if the candidate has knowledge of instrumentation control using LabView and some other software like Python, C++ etc .
• The candidate is required to have at least some basic semi-conductor knowledges of semi-conductor devices like P-N Junction, Diodes, CMOS etc.
• The candidate can be exposed to process and device design/simulation with commercial TCAD tools (e.g. Silvaco Victory Process and Victory Device, Sentaurus Process and Device, etc) as part of the learning development and eventually be working on wide bandgap devices team.

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience is a plus

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.

• Develop equipment sales budgets and plans, activities, processes and resources and campaigns and manage the operational activities of a sales team for an assigned geography, product line, or market segment.
• Negotiate sales with existing and new customers who are of strategic importance to the organization.
• Manage and work closely with dealers in assigned countries to achieve sales growth, market share and margins.
• Prepare sales forecasts and budgets, monitor sales volume, revenues and costs against forecasts to identify problem areas and adapt procedures or reallocate resources to improve the overall performance of the sales team.
• Contribute to the development of sales, customer retention, pricing and distribution strategies for area of responsibility through provision of market intelligence and customer information and by understanding market trends.
• Any other task assigned by the

• Bachelor's degree in Engineering or related field.
• Prior experience in sales, preferably in the maritime industry.
• Proven track record of meeting or exceeding sales targets.
• Strong communication and negotiation skills.
• Ability to build and maintain relationships with customers.
• Self-motivated and target-driven.
• Willingness to travel for customer meetings and industry events.
• Proficient in MS Office.

Singapore Citizen and Singapore residents will be given priority in the selection process. Only the shortlisted candidate will be contacted within 2 weeks' time. If you have not received any call or email from our recruitment team, assume that you are not shortlisted for the position.

Chan Chee Meng

EA 07C3069

R1110620

We are currently seeking an experienced AngularJS Developer for a permanent position with a global IT service provider, based in Singapore.

• 5+ years of experience with AngularJS
• Bachelor's degree in Computer Science or Engineering
• Strong expertise in HTML, CSS, and writing cross-browser compatible code
• Proficient understanding of AJAX and JavaScript DOM manipulation techniques
• Experience with RESTful services
• Familiarity with JavaScript build tools like Grunt or Gulp
• Proficient in one of the modern JavaScript MV-VM/MVC frameworks (AngularJS, jQuery, NodeJS, GruntJS)
• Familiarity with testing frameworks (e.g., Jasmine)
• Experience with test runner frameworks (e.g., Karma)
• Hands-on experience in implementing complex AngularJS applications, directives, controllers, and services
• Strong critical thinking and problem-solving skills

About Us

Zone IT Solutions is Australia based Recruitment Company. We specialize in Digital, ERP and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic and flexible solutions will help you source the IT Expertise you need. Our delivery Offices are in Melbourne, Sydney and India. If you are looking for new opportunities your profile at [email protected] or contact us at 0434189909

Also follow our LinkedIn page for new job opportunities and more.

Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We welcome applicants from a diverse range of backgrounds, including Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse (CALD) backgrounds and people with disabilities.

Ultimate Performance (U.P.) has forged a reputation as the world’s foremost body transformation experts, delivering exceptional client results under the mantra "maximum results, minimum time" within our global gyms.

We are currently seeking a Cleaner to support our U.P. Singapore Orchard Gym and to take care of our facilities.

This position is available as a full-time role.

Key responsibilities:

• To carry out cleaning and minor maintenance duties.

• The goal is to keep our facility in a clean and orderly condition.

• To perform a regular inventory of cleaning supplies.

• Perform other related tasks that may be assigned from time to time.

• Cooperate with the rest of the staff Follow all health and safety regulations

No formal qualification required.

Desirable: 1 year experience in a similar role.

In your third month of employment with us, you will be entitled to:

• Annual leave in line with the MOM regulations

Salary: $2,200-$2,900 per month.

Job Type: Full-time, permanent.

Hours: 44 hours weekly.

Monday - Friday: 9 hours per day, including a 1-hour lunch break.

Saturday or Sunday: 4 hours per day.

Vulcan AI is looking for a highly skilled and motivated Data Scientist specializing in Vision Transformer and Foundational Models to join our AI tech team.

As a Data Scientist focusing on Vision Transformer and Foundational Models, you will handle researching, developing, and implementing innovative machine learning solutions in computer vision. You will play a pivotal role in driving innovation and advancing our capabilities in using these models for various applications across several types of computer vision applications (remote sensing / satellite imagery, real time applications on phone and other edge devices, industrial defect, and quality check etc.).

Responsibilities:

• Research, design, and develop state-of-the-art vision transformer models and foundational architectures to solve complex problems in computer vision.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient machine learning solutions.
• Experiment with novel techniques in computer vision including vision transformer-based models, self-supervised vision models, model distillation with student /teacher model etc., to find the best solution for given AI use case
• Able to optimize inference model using platforms such as tflite, OpenVino and TensorRT to deploy models on relevant edge platform (phone, CPU based edge device etc.)

Requirements:

• Master's or Ph.D. in Computer Science, Data Science, or a related field with a focus on machine learning, computer vision, or artificial intelligence.
• Proven experience (> 3 years) in researching, developing, and implementing vision transformer models and foundational architectures for computer vision applications.
• Proficiency in TensorFlow and PyTorch, and strong programming skills in Python or other relevant languages.
• In-depth understanding of convolutional neural networks (CNNs), attention mechanisms, and hands-on experience with vision transformer architectures.
• Solid foundation in statistical analysis, data manipulation, and visualization techniques.
• Excellent problem-solving skills with a track record of delivering impactful solutions in the field of computer vision.

Preferred Qualifications:

• Experience working with large-scale datasets and distributed training of large models on multi-gpu setups
• Experience in computer vision and relevant signal processing techniques using OpenCV (e.g. morphological operations, FFT etc.)
• Publications in reputable conferences/journals highlighting contributions to the field of computer vision, generative AI and transformer-based architectures
• Knowledge of deploying machine learning models in production environments and familiarity with cloud platforms like AWS, GCP, or Azure.

1 Overall Job Purpose

1.1

To perform single or multiple specific tasks in developing and maintaining a logically linked schedule for a designated section of assigned project(s) or a segment of more complex assignment, and prepare relevant reporting and analysis to effectively and efficiently communicate project status at regular intervals.

2 Core Responsibilities

2.1

Under the supervision of Lead Planner or a direct report of this position, collate and compile the necessary information to support timely schedule development and reporting.

2.2

Develop the project planning and progress measurement procedures in accordance with project requirements and ensure proper implementation in the course of work.

2.3

Understand the technical scope of the work and the right sequence and duration of activities to create a viable project plan.

2.4

Develop and maintain logically linked, resources loaded (where applicable) detailed plans using Company planning tools and best industry practices.

2.5

Track project progress and challenge project stakeholders including subcontractors involved with planning and progress measurement activities.

2.6

Consolidate and check consistency of planning and progress data.

2.7

Produce and maintain workforce histograms, progress s-curves and Key Performance Indicators (KPI) in connection with the schedule(s).

2.8

Provide ad-hoc reports, “look-ahead”, critical path reviews, “what-if” scenarios, and other relevant tools that will assist in planning and schedule analysis.

2.9

Assess and communicate schedule impacts of all changes envisaged as part of the management of change process.

2.10

Recognize opportunities and resource optimizations to most efficiently execute the planned set of activities.

2.11

Contribute and participate to the Project Risk Management process by providing planning input and identifying schedule impacts for risks’ occurrences.

2.12

Perform schedule risk analysis using company tools and best industry practices.

2.13

Provide guidance and support to less experienced planning staff as required.

3 HSSEQ Requirements and Code of Conduct:

3.1

HSSEQ: Complies with the MODEC HSSEQ Code of Conduct as described in the HSSEQ Policies, the 14 HSEQ Standards, and the HSEQ Procedures to protect people and the environment at all times. Has a duty of care to ensure that all personnel work in a manner that is not harmful to their own health and safety and the health and safety of others.

3.2

Compliance: Complies with MODEC Group’s Code of Business Conduct & Ethics and Policies to ensure business activities and decisions conform to the laws and regulations and demonstrates high standard of ethical behaviour.

4 Financial and Operational Dimensions/Impact and Decision-making Authority

4.1

Has no budget responsibility.

4.2

Has no direct reports.

4.3

Provide advice to Lead Planner or direct report of this position on schedule forecasts along with any preventive or mitigation measure

5

Work Relationships

5.1

Report to Project Controls Department Manager when not assigned to a specific project.

5.2

Report to Lead Planner or a different Project Controls position based on project complexity and relevant organogram (e.g.: Project Controls Manager, Planning Supervisor, etc.)

5.6

Deal extensively with internal stakeholders such as Engineering, Cost Control, Document Control, Project Management, Procurement, Construction, Contracts, Quality, Operations, etc.

5.7

Deal frequently with yards and engineering subcontractors on all aspects related to planning and progress measurements.

6 Job Challenges and Problem Solving

6.1

Getting timely and accurate input from numerous stakeholders (both internal and external) for developing the plan and providing reporting as per contractual deadlines

6.2

Independently analyzing, interpreting and evaluating received data, challenging relevant stakeholders on the choice of estimates’ methods and assumptions.

7 Qualifications & Experience

7.1

Educational Qualification:

Degree in Engineering, Science, Business Management, or Operations Management

7.2

Certification(s):

PMI Scheduling Professional (PMI-SP) preferred

7.3

Relevant Experience:

· 8 years of planning experience in oil and gas industry (or)

· 12 years of planning experience in other industries with sound knowlodge of Oil & Gas process and FPSO projects

· Knowledge of project management, risk management and change management processes

· Previous working experience in a senior role is preferred

7.4

Language(s) and Software: List any special language requirement besides English and also any fundamental software skill(s) required by this job.

· Oracle Primavera P6

· Microsoft Office Excel

· Microsoft Project

We are seeking an inspiring strategist and a target-oriented senior leader who will steer the company in the most profitable direction while aligning with its vision, mission and long-term goals. The General Manager will play a key role in driving operation excellence and revenue growth, fostering innovation and maintaining a strong commitment to sustainability. The successful candidate for this role should possess excellent communication skills, superior knowledge of business functions, and strong leadership qualities.

About the Job

The success of the General Manager will be measured against the following key criteria:

1. Business Management & Strategic Planning

• Accountable for developing and executing a strategic plan to significantly grow the business, delivering tangible and measurable outcomes in line with the company's overall objectives.
• Drive the business strategies towards growth and profitability, with complete P&L responsibilities.
• Develop sales team to meet challenging sales targets, and to monitor and drive performance of the sales team.
• Conduct market analysis to identify growth opportunities and stay informed of the industry trends. Uphold a positive brand image and reputation.
• Demonstrate excellent skills at negotiating business deals including license deals, agreements, term sheets, and other business collaboration.

2. Operation Excellence & Leadership

• Oversee day-to-day operations, ensuring high standards of quality, efficiency, and customer satisfaction. Implement process improvements as necessary.
• Compliance and risk management: Ensure compliance with industry regulations and internal policies. Identify and mitigate potential risks.
• Foster a positive, caring and teaming work environment, emphasizing safety, collaboration, and continuous improvement. Inspire, mentor, and guide the team to achieve their full potential
• Cultivate and maintain strong relationships with customers, vendors, partners, and other stakeholders.
• Collaborate with research and technology teams to explore new methods for enhancing manufacturing and production process.
• Confidently lead internal and client meetings, offering knowledgeable observations and suggestions; establish credibility by insights shared; encourage and motivate others to communicate ideas.

Qualification & Requirements

• A good degree in Business/Business Administration, Aquaculture, Engineering, Management or other relevant field from a leading university.
• 15+ years of relevant working experiences in a senior management position, preferable in the Aquaculture or Engineering industry. In-depth knowledge of aquaculture production, technology and industry trends will be a plus.
• Entrepreneurial drive and demonstrated track record of meeting company target.
• Experience in creating public and private partnerships at national and international levels.
• Strong set of personal values including integrity, honesty, and service orientation.
• Proven ability to lead, inspire, coach, and develop others, including people from different backgrounds and culture.
• Practical experiences in piloting, implementing, scaling up ideas/solutions.
• Problem-solving and decision-making abilities in a fast-paced environment.
• Self-motivated individual and able to work under tight deadlines in a dynamic environment with competing demands for resources.

About Aqualita Ecotechnology

Aqualita Ecotechnology, a spin-off company from Temasek Life Sciences Laboratory (TLL), has developed a patented Recirculating Aquaculture System (RAS) technology that can adequately and cost-effectively help to meet Singapore’s “‘30 by 30”’ food security goal. The innovation aims to combat the worsening impact of climate change, algal bloom in water, and land scarcity. By miniaturising conventional RAS into modular, robust and versatile container-based farms, fish farming can now be safe, sustainable, and scalable. The combination of TLL’s aquaculture capabilities in selecting fish with good genetics, and disease management, together with Aqualita’s engineering expertise creating clean, controlled elements, can unlock the potential of urban aquaculture. For more information, visit www.aqualitaeco.com

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

Responsibilities:-

• We are looking for Software Engineers & Developers to enhance our in-house product offerings and build the next generation Med-Tech applications.
• You will work with a team of Developers, Designers and Product Managers throughout the software development cycle.

Requirements:-

• Self-Taught, Fresh-Grads and Experienced Professionals all welcome. As long as you can show a good portfolio of work/personal projects we are chill.
• Javascript nerds will get an edge.
• Passion for leveraging technology to help solve healthcare issues and improve the quality of lives of both medical professionals and patients.
• Be able to demonstrate technical abilities in personal/professional projects is critical
• Stickler for best practices and keeping your code clean is a plus
• Advantageous: Javascript (NodeJS, VueJS, ReactJS jQuery), PHP (Laravel), HTML/CSS Frameworks (Bootstrap), MySQL/MariaDB, cloud services (AWS), serverless concepts, Docker containers, Micro Services, CI/CD, general IT security concepts and data privacy awareness.

Responsibilities:

• Responsible for contributing to engage the local ecosystem in the deployment of a Green Operations project.
• Training & Understanding of the baseline Green Operations solution being deployed in EU
• Work closely with the Business Development & Key Account teams during technical and strategic discussions with key stakeholders (Regional Airlines and ANSPs) to understand requirements & build clear problem statements.
• Coordinate with the Green Operations team in Toulouse to define this project & synchronize with the existing portfolio of Green Operations solutions.
• Develop a regional instance of the solution with both backend & frontend features specific to the requirements identified above.
• Perform data analysis, run simulations and the climate impact assessment (using and adapting existing dedicated tools) to derive key conclusions and measurable KPIs
• Documentation of the Project & Communication with external & internal stakeholders

Requirements:

• Min. 3 Years of relevant working experience
• Bachelors degree in either Electronics / Software or Aerospace Engineering
• Good knowledge / Background of Flight Operations
• Demonstrate the sensitivity to understand and define key customer requirements
• Experienced using Python language
• Possesses proven skills in data engineering and data visualization and using simulation tools
• Sense of responsibility and ability to do pro-active work
• Ability to support technical and operation discussions with external stakeholders

Other information:

• Working Location: One North
• Working Hours: Monday - Friday, 9am - 6pm

Looking for a reliable professional, providing a day to day operations in FAB inventories receipt, storage, issuance and transportation of materials.

• Oversee the FAB spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day in day out logistics operations.
• Co-ordinate with co workers and on the movement of FAB materials across IME Premises. Must work closely with the FAB purchasing and operation teams on all logistic needs.
• Always adhere to safety requirements at all times.
• Work on continuous improvement programs/ projects in FAB logistics operations.

Requirements

Education: Degree in engineering discipline. Preferably in supply chain logistic/ warehouse operations.

Experience:

• At least 2 years of warehouse operations
• Engineering background with wide contacts with semicon. material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.
• Experienced in purchasing, new system set-up for inventories and logistics operations will be an added advantage.Looking for a reliable, professional, providing a day to day operations in
  FAB inventories receipt, storage, issuance and transportation of materials.

Responsibilities:

Pre Contract Stage

• Quantity take off and cost comparison for main work trades
• To assist in establishing client’s requirements and undertaking feasibility studies
• To monitor relevant planning authority web sites to identify work opportunities (tender notice)
• To complete and submit of PQ document
• To access tender documents and ensure sufficient information available for tender preparation
• To request for quotations and assessment
• To prepare tender documents for submission
• To submit tenders and follow up for clarification

Post Contract Stage

• Understand and reasonably interpret contract document & drawing
• Understand contract provision thoroughly and advise the risk/areas of concern
• To perform measurement and cost breakdown
• To prepare payment certification to sub-contractor/ supplier
• To prepare payment claim to client
• To identify and evaluate variation work

Requirements:

• Diploma / Degree in Quantity Surveying or equivalent

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 Pitt Lab is a leading computational research group at the Cancer Science Institute of Singapore dedicated to making groundbreaking discoveries in cancer genomics using cutting-edge machine learning techniques. Our research focuses on the causes and consequences of genome instability. We explore this by combining software development and AI/ML over large-scale multi-omics data derived from cancer patients and experimental systems. Our goal is to leverage heterogeneous data to reveal unique insights relevant to fundamental biology and precision oncology.

As a Research Assistant with an emphasis on machine learning, you will play a critical role in our research endeavors. You may refer to https://csi.nus.edu.sg/researcher/jason-pitt/ for more information on Dr Pitt’s research.

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. At least 2 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

• Developing and implementing machine learning algorithms for analyzing large-scale cancer genomics data
• Designing and conducting computational experiments to evaluate the performance of machine learning models
• Collaborating with other researchers to interpret results and translate findings into clinical applications
• Writing and presenting research findings at scientific conferences and in peer-reviewed journals

Qualifications

• Master's degree in Computer Science, Statistics, Bioinformatics, or a related field
• Strong programming skills in Python, R, or other relevant languages
• Strong mathematical and/or statistical background
• Some experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Excellent analytical and problem-solving skills
• Good written and communication skills

Job Description

Job Summary:

• Develop and plan training modules in line with latest market trends.
• Execute field coaching, including Basic trainings, Seasonal trainings, and various follow-up trainings to Therapists and Sales Consultants, to improve business performance, customer service and enhance brand image.
• Assess the effectiveness of the training initiatives through evaluation on a regular basis to identify coaching opportunities through regular feedback and reporting and conduct strategic follow up coaching to ensure successful roll out of training initiative.
• Ensure Therapists and Consultants are equipped with the skills required to achieve Brand’s KPI and ensure consistency in customer experience.

Job Responsibilities:

• To adapt training materials in order to fit the context and enhance content of existing training support documents as and when required.
• Deliver training to therapists in line with the sales cycles and training priorities.
• Deliver induction and specific training to grow and develop the brand.
• Develop and motivate Therapists and Sales Consultants through training and coaching.
• To contribute to training projects, training needs, evaluation analysis, update of training programs, action plan on training and coaching
• To be active on the field to observe customer purchase behavior and interact with the Sales consultants and customers
• Identify and provide feedback for future training needs.
• Conduct beauty product knowledge training and treatment protocol.
• To furnish the company with the latest beauty industry information; eg competitors’ activities and beauty care trends, treatment, products etc.
• Work closely with management team on training needs.
• To perform any other assigned job duties as per assigned by the management.

Job Requirements :

• With minimum 2 years of experience as a Trainer, ideally in Aesthetic face and body treatments.
• Certified by CIDESCO, CIBTAC, ITEC, WSQ ACTA Full Certificate, WSQ SOA or any other relevant qualifications in beauty and aesthetic.
• Strong experience in training including delivery of training, ability to coach with a strong sense of detail and a strong focus on growing sales capabilities.
• High level of competence in presentation and excellent verbal and written communication skills.
• Strong leadership and people management skills.
• Confidence in presenting and influencing at all levels.
• Proficient in English and Chinese to communicate well with clients
• Highly driven, energetic, flexible and team spirited.
• Proactive and able to work under pressure and meet tight deadlines

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Statistics and Data Science is looking for a dynamic and motivated individual to join our growing and enthusiastic administrative team. The department was established in 1998 and has been the top department in statistics in Asia for many years. Our mission is to advance research and train students and working adults in the areas of statistics and data science to prepare and upskill them for jobs in academia, government, and industry. Key responsibilities include, but are not limited to the following -

— Propose best online learning approaches and solutions to lecturers.

— Collaborate with lecturers to design and produce eLearning content that will comprise videos, animation, and other instructional technologies.

— Conceptualise, design, and develop engaging teaching materials with appropriate tasks, learning activities and assessments to meet intended learning objectives.

— Produce effective storyboards to convey idea to stakeholders.

— Support lecturers in the production of high-quality teaching materials, in particular production of videos, from planning stage, to recording to final editing.

— Perform functional testing of eLearning courseware to ensure it meets NUS academic quality.

— Manage and curate the department’s digital teaching materials repository.

— Monitor trends in online learning design and evaluate relevance and usefulness of latest trends to current practices.

— Monitor trends in learning technologies that support online learning and online learning design.

— Undertake additional responsibilities and ad-hoc tasks to support the department.

Qualifications/Requirements/Other Info

• At least a good bachelor’s degree in any discipline from a reputable university.

• Good English proficiency.

• Some basic understanding of concepts from statistics and data science is desirable.

• IT savvy, proficient in video editing and MS Office applications, and openness to get acquainted with other software.

• At least 1 year of relevant working experience.

• Energetic, self-motivated individual who thrives in a fast-paced, results-oriented work environment.

• Strong time management and organisational skills.

• Good interpersonal skills to engage with lecturers.

• Strong team player, able to work collaboratively with various stakeholders to achieve desired outcomes.

• Resilient, resourceful, possesses good problem-solving and critical-thinking skills.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Job Description:

Provides support to the accounting team and assists in maintaining accurate financial records, processing transactions, and ensuring compliance with financial policies and procedures.

Key Responsible:

Account Receivables: Process and record invoices and receipts, attend to customers’ queries and emails. Monitor and follow up on outstanding payments.

Account Payables: Monitoring invoices credit term and ensure the payments to be ready on time. Attend to queries from vendors and respective ordering teams.

Financial Data Entry: Enter financial data into accounting software or spreadsheets, ensuring accuracy and completeness. Maintain organized and up-to-date financial records and files for easy retrieval and reference.

Financial Reporting: Assist in the preparation on financial reports, statements and schedules. Compile data and assist in generating regular and ad-hoc reports as required by the management. Provide support in compliance with all statutory requirement and other reporting e.g. GST reporting, month-end closing, year-end closing, corporate tax filing etc.

Documentation and Filing: Maintain organized and systematic filing systems for financial documents. Retrieve and provide requested documentation for audits or inquiries.

Ad hoc duties assigned by supervisor.

Qualifications and Skills:

High school diploma or equivalent qualification.

Associate's or bachelor's degree in Accounting or Finance is a plus.

Prior experience in an accounting or finance support role is preferred.

Basic understanding of accounting principles and financial processes.

Proficiency in using accounting software and tools (e.g., QuickBooks, Excel).

Attention to detail and accuracy in data entry and record keeping.

Strong organizational and time management skills.

Ability to work collaboratively in a team environment.

Basic knowledge of relevant laws and regulations (e.g., taxation, financial reporting).

Familiarity with general office equipment and computer applications.

Please submit the application if you're interested. Calls and emails wouldn't be considered.

Overview & Responsibilities

The Process Improvement Manager at the direction of management, is responsible for selecting current products, components or processes to be analyzed and evaluated, with the purpose of establishing efficient and cost-effective processes that ensure the production of high-quality products and services. The activities shall consider all aspects of the design and production of products and services.
The Process Improvement Manager will be responsible for the evaluation process, justification of improvements, and implementation plans, as well as facilitating activities to integrate improvements into the business. The current processes will be thoroughly reviewed, improved, documented, and implemented. To improve key performance objectives such as costs, on-time deliveries, cost of quality, and safety, the position must take a leadership role in identifying, planning, coordinating, implementing, monitoring, and auditing processes across all functional areas, suppliers, and customers. Additionally, the position must support the rollout of new established procedures and work instructions into new satellite operations to further improve delivery, quality, and cost reduction.

This is a position supports all aspects of the Global Services product lines coordinating identified process improvement opportunities through the direction and prioritization of Regional Management.
1. Analyzing current products/services, components or processes to identify opportunity for improvement. Furthermore, this position will lead in performance enhancing efforts on cost savings/value analysis, delivery and quality issues. A principle objective of this position will be to help deploy current business strategies, integrate business processes and best practice sharing and set the future direction of continuous improvement efforts throughout operations and supporting functions.
2. Develop improvement plans that can be effectively implemented into the business.
3. Working in a cross functional team environment, being persuasive and convincing to others to gain buy in and support for activities.

To learn more about our Job Applicant Privacy Notice, please click here.

The Assistant Logistics Manager will support the Operations Team in planning, coordinating, and managing all aspects of the supply chain and logistics operations. This role involves overseeing the day-to-day activities, analyzing performance metrics, and implementing improvements to enhance efficiency. The Assistant Logistics Manager will also play a key role in team management, vendor relationships, and ensuring compliance with relevant regulations.

Roles and Responsibilities

• Work closely with Operations Team to oversee the planning and managing of Logistics Operations to ensure the delivery of logistics service that meet customer requirements.
• Supervise and lead the logistics team in the daily activities and training needs.
• Coordinate with internal stakeholders to ensure effective support for the inventory items.
• Ensure logistics processes follow established management system and policies.
• Follow up with suppliers on materials and quantity requirement revisions, rate adjustments/ rebates, and the provision of incorrect materials.
• Establish and liaise with freight forwarder for all import and export activities, rates and regulatory requirements.
• Responsible for the continuous improvement of logistics operations and safety performance.
• Ensure timely system updates of Logistics transactions and maintain accurate records.
• Review and analyse logistics performance against targets, benchmark and service agreements.
• Prepare and maintain accurate records and documentation for all logistics activities.
• Any other matters delegated by superiors.

Qualifications:

• Bachelor's Degree or Diploma in Logistics, Supply Chain Management, or a related field.
• Previous experience in logistics or supply chain management.
• Strong leadership and team management skills.
• Analytical and problem-solving abilities.
• Excellent communication and interpersonal skills.
• Knowledge of logistics software and tools.
• Familiarity with supply chain regulations and compliance.
• Detail-oriented with a focus on process improvement.

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal 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.

Job Title: Recruiter

Job Description:

As a Recruiter, you will play a vital role in our talent acquisition efforts, including:

• Sourcing and screening candidates.
• Conducting interviews and assessments.
• Managing candidate pipelines.
• Collaborating with hiring managers.
• Ensuring a positive candidate experience.
• Contributing to recruitment strategies.

Qualifications:

• Proven recruiting experience.
• Strong communication and interpersonal skills.
• Excellent organizational and time management abilities.
• Proficiency in recruitment software/tools is a plus.
• Passion for finding top talent.

Why Join Us:

• Competitive compensation and benefits.
• Opportunities for professional growth.
• Collaborative and innovative work environment.
• Impactful role in shaping our team.

How to Apply:

If you're passionate about connecting talent with opportunity, send your resume and a brief cover letter to [[email protected]].

A world empowered by autonomy. We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives.

We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.

About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

This is a new role within our Operations Team where you will be responsible for autonomous vehicle operations in our customer sites where you will be responsible for Remote Vehicle Operations, Maintenance and Systems testing. where you will be cross-deployed to both the testing and operations team. This role will operate on a shift-based schedule. You will play a crucial role in ensuring the safe and efficient operation of autonomous vehicles, monitoring and controlling real-time vehicle operations, conducting general maintenance and executing testing procedures.

On a day to day, you will be collaborating with cross-functional teams while integrating new technologies, troubleshooting technical issues and contributing to continuous improvement initiatives. Your expertise will be vital in the success of maintaining compliance with safety regulations, optimizing vehicle performance, and fostering innovation in autonomous vehicle operations.

Role responsibilities

Vehicle Maintenance and Testing.

• Conduct diagnostics and maintenance on autonomous vehicles.
• Collaborate with engineering teams to integrate new technologies and features into autonomous vehicle systems.
• Execute testing procedures for autonomous vehicle systems in an operational environment.
• Provide technical support to on-site and remote teams during autonomous vehicle operations.
• Troubleshoot and resolve technical issues promptly to minimize downtime.

Operations Control:

• Monitor and control the real-time operations of autonomous vehicles.
• Execute and manage autonomous vehicle operations to ensure safe and efficient performance.
• Respond promptly to system alerts and emergencies, taking corrective actions as necessary.

Shift Operations:

• Work on a shift-based schedule to ensure 24/7 coverage for autonomous vehicle operations.
• Collaborate with cross-functional teams to maintain continuous and reliable system functionality during all shifts.

Safety and Compliance:

• Ensure strict adherence to safety protocols and compliance with regulatory requirements.
• Collaborate with safety and compliance teams to implement and maintain best practices.

Required experience

• Diploma in relevant field or equivalent experience.
• Proven experience in vehicle/transport operations and testing.
• Strong analytical and problem-solving skills.
• Experience with vehicle/transport technologies and systems.
• Hands-on experience in mechanical systems and electrical/electronic wiring
• Hands-on experience with Linux OS environment.
• Knowledge and background in Robotics/Automation.
• Hands-on experience in Bash, Python, C++ and ROS is a plus.
• Possession of a Class 3 Driving licence is a plus.
• Excellent communication and collaboration skills.
• Ability to adapt in a shift-based and 24/7 working environment.

Salary is commensurate with experience. We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us!

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 Lee Kong Chian Natural History Museum (LKCNHM) was established in 2015, but its collection of natural history specimens spans more than two centuries, and continues to increase. Apart from physical specimens, it manages a growing collection of digital resources including images, publications, and other types of digital records which are necessary for research and education. We are seeking a dynamic and suitably qualified individual to lead in, suggest solutions and implement systems/strategies to manage this growing digital footprint and to work with LKCNHM subject specialists to curate and archive the large amount of scientific and other data, and information generated through research on biodiversity in Southeast Asia. The individual will play a pivotal role in ensuring that scientific data and information is managed in such a way that allows easy and smooth access to users, thus supporting the advancement of research and education.

Duties and responsibilities include, but are not limited to the following -

1) Scope and develop a platform to serve as a biodiversity information gateway for Singapore biodiversity information.
2) Assist with all museum-wide aspects of information and data relating to the collections: organizing information, storage, preservation and use of data on the collections
3) Relate and link various databases and other digital resources that come under LKCNHM to be accessible through the biodiversity information gateway.
4) Curate and/or organise the digital collections at LKCNHM, including new genomic, imaging, specimen, collection and other data that will continuously be generated.
5) Specific duties include:

• Setting up and managing core digital platforms/facilities within the LKCNHM.
• Maintaining the biodiversity information gateway for public delivery of data (for use by researchers, educators or interest groups for example).
• Managing and enhancing the integrity and accuracy of the digital collection information systems, including the collection database, and other digital records.
• Working with museum staff to improve specimen metadata, such as through photography, geo-referencing, and linking with host specimen records; and to support the on-line presence of the collection, contributing to the LKCNHM website.
• Facilitating data contribution to national and international data repositories.
• Managing data storage and preservation, including local servers and cloud services, and maintaining an appropriate back-up strategy.
• Recruiting and supervising interns and/or student assistants within the digital collection and biodiversity informatics; ensuring appropriate training, orientation, evaluation and discipline.
• Developing and preparing short monthly and annual reports and project reports for the digital collection.
• Work with the Museum curators and Research Associates to develop and implement policies, standards, and procedures (e.g. developing standard operating procedures for accessioning and databasing of specimen and associated data).
• Other related duties as assigned.

Qualifications/Requirements/Other Info

1) BSc or above in data science or digital management.
2) Two years of working or training experience on data management or similar related work.
3) Strong English writing and verbal skills.
4) Documented ability to multi-task and work well in a team.

Desirable skills:
1) Able to manage multiple stakeholders.
2) Able to manage projects within tight timeline.
3) Some understanding of specimen imaging and digitization.
4) Singapore class 3 driving licence is advantageous.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Job Description:

As a Cloud Site Reliability Engineer (SRE), you will play a key role in ensuring the reliability, scalability, and performance of our cloud-based systems and services. Working closely with cross-functional teams, you will proactively monitor, optimize, and troubleshoot cloud infrastructure, applications, and services to minimize downtime and deliver a seamless user experience. Your expertise in cloud technologies and dedication to automation and best practices will contribute to the stability and growth of our cloud operations.

Key Responsibilities:

· Reliability and Availability: Implement best practices for high availability and disaster recovery across cloud environments.
Monitor system performance, availability, and incident response to ensure minimal downtine.
Create and maintain robust monitoring and alerting systems.

· Automation and Infrastructure as Code (laC):Develop and maintain automation scripts and Infrastructure as Code (laC) templates for provisioning and managing cloud resources.
Automate routine tasks to increase operational efficiency and reduce manual interventions.

· Scalability and Performance Optimization: Collaborate with development teams to design and implement scalable and performant cloud architectures.
Conduct performance analysis and tuning to optimize system response times and resource utilization.

· Incident Response and Troubleshooting: Participate in incident response activities, including root cause analysis, resolution, and post-incident reviews.
Troubleshoot complex issues across the cloud stack and coordinate with relevant teams for resolution.

· Security and Compliance: Implement security best practices and compliance measures in cloud environments.
Collaborate with security teams to ensure data protection and compliance with industry standards.

· Capacity Planning: Monitor resource utilization and forecast capacity requirements to support business growth.
Implement scaling strategies to accommodate changing workloads.

· Documentation and Knowledge Sharing: Maintain comprehensive documentation of cloud configurations, processes, and procedures.
Share knowledge and best practices with team members and contribute to a culture of continuous learning.

Qualifications/Requirements:

· Bachelor's Degree in Computer Science, Information Technology, or a related field.

· Proven experience in cloud operations, SRE, or a related role.

· Proficiency in cloud platforms such as AWS, Azure.

· Certification in cloud platforms (e.g. AWS Certified DevOps Engineer, Azure DevOps Engineer Expert).

· Experience with containerization and orchestration tools (e.g. Docker, Kubernetes).

· Knowledge of infrastructure monitoring and logging tools (e.g. Prometheus, Grafana. ELK stack).

· Strong scripting and programming skills (e.g. Python, Bash, Go).

· Familiarity with CI/CD pipelines and automation tools (e.g. Jenkins, GitLab CI/CD).

· Experience with GCC (Govt on Commercial Cloud).

· Excellent problem-solving and communication skills.

· Ability to work collaboratively in a cross-functional and fast-paced environment.