• Ensure smooth operations of the school resources with alignment to the vision, mission, values and culture.

• Resolve issues and provide assistance in areas of policy, planning and strategy decisions from management.

• Be responsible for planning the yearly school timetable and school calendar.

• Work along with management to handle student discipline, classroom observations, teacher evaluation and supervision.

• In-charge of course proposal, enquiries correspondent with foreign partners.

• To source local trainers for the organization.

• Work along with various departments ie. marketing, admissions and administration to ensure the effectiveness of marketing initiatives & strategies which affects successful student enrolment numbers.

• To develop, implement and monitor work practices, system and methods that are effective, efficient, and consistent with manuals and EduTrust.

Job Requirements

• Proven experience in private education/training centre, with a minimum of 3 years in a similar role.

• Knowledge of SSG, CPE, Edutrust

• Proficiency in project management tools and techniques.

• Knowledge of relevant industry regulations and compliance requirements.

• Ability to thrive in a fast-paced and dynamic environment, with a proactive and results-oriented mindset.

• Proficient in Microsoft Office suite and other relevant software applications.

We regret that only shortlisted candidates will be notified.

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

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to our company’s PDPA and e2i’s PDPA.

A Trainee Ship Broker for cape size is responsible for many stages of setting up and negotiating deals, including presenting the business to potential clients, negotiating the main terms of a contract or sale and seeing it through to its conclusion and any follow up that may be involved.

Duties and responsibilities

· Develop a framework and processes to manage chartering business.

. Oversee negotiations relating to ship chartering. Work closely with traders and attend to their queries, looking for cooperation with trader directly.

· Negotiate charter party terms and conditions on behalf of Owners or Charterers.

· Provide timely and accurate shipping information, voyage calculations to trading teams to facilitate smooth trading activities.

· Excellent communicational skills are required to liaise with ship owners, cargo owners, ship brokers etc.

· Capability to work under pressure

· Self-motivated and a team player

A Ship Broker is responsible for many stages of setting up and negotiating deals, including presenting the business to potential clients, negotiating the main terms of a contract or sale and seeing it through to its conclusion and any follow up that may be involved.

Duties and responsibilities

· Develop a framework and processes to manage chartering business.

. Oversee negotiations relating to ship chartering. Work closely with traders and attend to their queries, looking for cooperation with trader directly.

· Negotiate charter party terms and conditions on behalf of Owners or Charterers.

· Provide timely and accurate shipping information, voyage calculations to trading teams to facilitate smooth trading activities.

· Excellent communicational skills are required to liaise with ship owners, cargo owners, ship brokers etc.

· Capability to work under pressure

· Self-motivated and a team player

The Trianee Forward Freight Broker is responsible for executing research on shipments and determining the divergences of the freight, fulfill any research related enquiries the Brokers may have or request for and other ad-hoc tasks.

• Monitor and stay up to date with factors such as the Baltic Index, fuel costs, cost of insurance etc.
• Perform and deliver an analysis for Market Supply & Demand Model with data collected.
• Maintain, update and refine the Freight Matrix to be distributed to clients.
• Work on the maintenance and development of various models and new products relating to international trade and the demand for shipping.
• Supporting senior team members in preparing presentations that are delivered to key clients.
• Providing general assistance to the Dry Market Analysis team and brokers with a variety of ad-hoc analytical requests.
• Education – Bachelor’s Degree in the Maritime Business / Data Science
• Specialized knowledge (Preferred)
  • Data Analysis
  • Computer Literacy (Proficient in MS Excel, PowerPoint, Word)Abilities
  • Outspoken
  • Good customer relations skills
  • Able to remain calm and deliver under pressure and tight deadlines
  • Other characteristics such as personal characteristics
  • Independent

Job Summary

A Postdoctoral position is available at the Berkeley Education Alliance for Research in Singapore (BEARS) with Assistant Professor Yanwei Lum. The goal of the project is to develop electrochemical systems for CO2 conversion and work with high sensitivity analytical tools that would be amenable for high throughput screening and reaction mechanism investigation. The candidate is expected to build model catalyst systems to investigate hypothesis and validate existing theories. They will also work in the framework of a larger team at BEARS for high throughput analysis and screening. It is expected that these will eventually lead to rationally designed catalysts for electrochemical CO­2 reduction.

Duties & Responsibilities

1. Perform materials synthesis and characterization.
2. Carry out electrochemical studies to determine electrocatalyst performance.
3. Perform product analysis and quantification using methods such as GC, HPLC and NMR.
4. Perform mechanistic studies of electrochemical CO2 reduction mechanisms.
5. Work with high sensitivity chemical analysis equipment.

Qualifications

Candidates must have obtained a PhD in Chemical Engineering, Chemistry, Materials Science and Engineering or related fields.

Candidates are required to have the following skillsets:

1. Materials synthesis for a variety of solid inorganic materials as electrocatalysts through various synthesis procedures.
2. A strong understanding and extensive experience in electrochemistry and electrocatalysis is a must
3. Working knowledge and experience in GC, NMR and HPLC.
4. Experience in operando catalyst studies (e.g. in-situ Raman, FTIR and etc)
5. At least 1-2 Publications in top tier journals (IF > 10)

SELECTION CRITERIA

-Minimum 3 year of teaching experience in elementary and secondary school or equivalent

-Experience in tutorial centers for primary and secondary students.

KEY RESPONSIBILITIES

Leading one-on-one or small group lessons.

• Provide necessary supervision and consultation with students
• Design learning goals for students
• Assist students with homework, test preparation, and academic lessons
• Help students to improve their academic performance and understand the key concepts of their lessons.
• Develop and provide materials to supplement classroom lessons, including study guides
• Conduct practice test to track progress, identify areas for improvement.
• Give advice and feedback about students’ performance to students, parents, and guardians.

SKILLS

- Mentoring

- Must possess a positive and patience disposition.

- Must display empathy and understanding towards individual students’ behaviour

- Good communication skills, active listener and a team player.

- Must possess a good leadership skill

- Must have a good presentation skills and systematic lesson delivery skills.

- Must be pro-active and student-centered in giving instruction and delivery

- Positive attitudes towards work and work related matters

Summary

A Postdoctoral Scholar position is available for 3 years (extendable by one more year) to work on a collaborative project on decarbonization. The position will be hired at Berkeley Education Alliance for Research in Singapore (BEARS) under Prof. Matthew Sherburne (Director, BEARS) and will be based at A*STAR’s Institute of Sustainability for Chemicals, Energy and Environment (ISCE2) to work closely with Dr. Amol Amrute and co-supervised by Prof. Matthew Sherburne and Prof. Kedar Hippalgaonkar (Nanyang Technological University, NTU). The multi-institutional project involves AI, Machine learning, high throughput experimentation, and automation, with participants and collaborators from BEARS, NTU, ISCE2, NUS, and UC Berkeley, offering an exciting opportunity to work with international experts in the field, learn and develop new relevant skills, and build an international network.

Duties & Responsibilities

• Contribute to developing efficient catalysts for thermocatalytic CO2 conversion to chemicals and fuels.
• Synthesis of solid catalysts and characterization of catalytic properties using advanced methods.
• Operating single tube and high throughput catalytic reactor systems and data analysis.
• Drafting manuscripts and research progress reports.
• Communication of results by presenting at project meetings.

Qualifications

• PhD degree in Chemical Engineering, Chemistry, or Materials.
• Strong knowledge of heterogeneous catalysis, material synthesis, and surface characterization.
• Previous experience in catalyst design for thermocatalytic CO2 conversion is an advantage.
• Proactive, team player and good problem-solving skills.
• Data analysis and interpretation.
• Excellent oral/written communication.

Monday - Friday, 8.30am – 5.30pm

Location: Jurong East

Responsibilities

• Handle service requests for both scheduled and unscheduled maintenance in compliance with the Company’s Service Agreement.
• Diagnose and resolve any system issues encountered during maintenance service visits at customer locations.
• Oversee and ensure the quality of work performed by subcontractors during maintenance tasks, while providing technical support to other departmental staff.

Requirements

• With 1-2 years’ experience in service and maintenance of alarm, card access and CCTV systems.
• Candidate with building construction safety supervisor / Work-At-Height / Risk Management certs will be an added advantage.

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

We are seeking a highly skilled individual to develop high-performance computational codes that simulate the quantum dynamics of optomechanical systems, particularly levitation-based quantum sensors. You will collaborate closely with cutting-edge experimental teams, contribute to pioneering GitHub-based codebases, and apply advanced AI techniques to optimize complex quantum experiments.

This role offers an exciting opportunity to contribute to various in-house and open-source quantum software packages under development for quantum computing and quantum information science. Additionally, you will have the chance to work alongside leading quantum industry players, accelerating the translation of groundbreaking research into real-world applications.

Qualifications:

• Ph.D. in Physics, Quantum Information Science, or a related field.
• At least 5 years of relevant experience
• Strong numerical and programming skills for developing high-performance simulation codes.
• A deep understanding of optomechanical-based quantum sensors. An understanding of levitation-based systems is a plus.
• Proven experience collaborating with experimental teams.
• Knowledge of quantum information science and quantum computation.
• Proficiency with GitHub and contributing to code repositories.
• Familiarity with advanced AI techniques for experiment optimization.
• Experienced with Python, C/C++, Rust, etc.
• Experience in using HPC to accelerate numerical simulation 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.

Monday – Friday, 8.30am – 5.30pm

Location: Jurong East

Responsibilities

• Address equipment faults at customer locations.
• Coordinate with customers and subcontractors for project tasks.
• Supervise work progress to uphold schedule and quality benchmarks.
• Ensure prompt delivery of materials and equipment for site installations or fault repairs.
• Perform routine maintenance for clients.

Requirements

• 2-3 years’ hands-on experience in troubleshooting of card access systems, alarm systems, CCTV, etc
• Standby duty is required
• Possess a valid class 3 driving license

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Company Description:

Entropica Labs is a Singapore-based quantum computing software company creating the software layer to support fault-tolerant quantum error correction–the ability to actively remove errors from quantum computations and unlock the transformative applications of quantum computing. Entropica Labs empowers developers, researchers, and domain experts to accelerate the arrival and adoption of fault-tolerant quantum computing.

About the team:

Our team at Entropica Labs combines deep expertise in quantum computing, software engineering, quantum information, and advanced error correction methodologies to build essential tools for practical quantum error correction. If you are a creative thinker and problem solver passionate about tackling complex challenges, join us to shape the future of quantum computing.

For more information, visit https://entropicalabs.com/.

Job Requirements:

• Expertise in quantum error correction (Master level or equivalent experience).
• Industry experience preferred.
• Familiarity with quantum computing applications is a plus.

Key Responsibilities:

• Collaborate with the Quantum Error Correction (QEC) team to develop fault-tolerant quantum algorithms.
• Work with commercial and applications teams to identify relevant quantum computing use-cases.
• Build prototype solutions and assess potential quantum advantages.
• Working with the team to build, test, and benchmark different components of Entropica’s technology stack;
• Implementation and analysis of quantum computing and quantum error correction algorithms and schemes, methods, and protocols;
• Attendance at conferences and meetings, with possible overseas travel;
• Participation in customer and partner projects;
• Reading scientific literature and presenting complex ideas to the team;

Qualifications:

• Excellent English, written and spoken.
• Proven background in quantum error correction.
• Academic experience (Master level or beyond); industry experience is a bonus.
• Strong problem-solving skills and ability to collaborate across teams

How to Apply:

Interested candidates should submit a cover letter (including personal references, if possible), a resume, and a sample of relevant research work or publications.

Job Description:

• Capable of optimizing molecular and cellular assays for characterization of genetically modified immune cells. These assays may include RNA extraction, real-time PCR, ELISA, western blotting, cytotoxicity assay, cell proliferation assays and cytokine measurement etc.,
• Multi-parametric immunophenotyping by flow cytometry techniques
• Good hands-on experience with PBMCs and cellular therapy products either through established protocols, or to optimize new protocols as seen necessary.
• Maintains accurate and detailed documentation of laboratory procedures and experiments.
• Oversee maintenance and operation of laboratory such as replenishing & triggering order of consumables, collection of waste materials, maintenance of laboratory equipment, etc.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

Designation: Primary Science Technician

Department: Early Years and Primary School

Grades: SK - Grade 6

Reports to: Vice-Principal

Works collaboratively with: Teachers, PYP Coordinators

Assigns task to / supervises: None

KEY ACCOUNTABILITY (Main purpose of this job):

The Primary School Science Technician will support teachers in all aspects of science teaching with the PYP. This includes organising and maintaining resources and providing in-class support working with teachers and students where required.

RESPONSIBILITIES:

General Responsibilities

• Assist and guide students by demonstrating appropriate support, patience, kindness and caring
• Develop students’ self-esteem and positive self-concept
• Supervise, observe and encourage positive student behavior in a developmentally appropriate way, and in keeping with the values of our school
• Model the CIS values of Excellence, Respect, Collaboration, Creativity, Curiosity, and Generosity
• Abide by the dress code of the school
• Attend professional learning and training sessions when required by the school

Science Specific Responsibilities

Science Resource Organisation

• Source, purchase, and catalogue resources
• Compile orders and liaise with suppliers and finance departments as/when required
• Manage a booking system for teachers and ensure the availability of suitable resources
• Coordinate the preparation of resources for lessons, including liaising with the coordinator, teaching staff and support staff
• Maintain an accurate inventory of resources to ensure that stock levels are maintained, resources are returned in working order and future requirements are identified
• Provide general assistance in the safe storage, transit and accessibility of resources in line with current health and safety guidelines

PYP Science laboratory

• Keeping the laboratory neat and tidy and equipment and resources stored
• Working with students on individual or class projects

In-class support

• Trial practical activities/experiments to troubleshoot potential challenges
• Support and assist teachers during practical activities
• Work with students on individual projects in class

REQUIREMENTS & EXPERIENCE:

• Post secondary education and or certification in an education-related field
• Prior experience working in an educational setting preferred

COMPETENCIES:

• Culturally competent and able to work with culturally diverse staff and students in a bilingual and multilingual setting
• Service-oriented
• Enjoys interacting with students, and teachers
• Ability to work collaboratively with students and teachers
• Comfortable operating and setting up basic equipment and ensuring students follow safeguarding procedures
• Problem solver
• Tech savvy. Able to confidently use of Google Suite applications (e.g Doc, Sheets, Forms) and databases
• Strong oral and written communication skills
• Demonstrated initiative and organizational skills, with attention to detail
• Ability to work independently
• Ability to work under pressure
• Ability to safely manage and move equipment weighing up to 20 kg, with reasonable accommodations provided as necessary.

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Risk Manager, with a strong background in systematic/algorithmic trading to join the global Risk and Trading Supervision team in Singapore.

Responsibilities

• Providing risk oversight for the APAC trading activities of the firm by focusing on electronic trading risk and market risk
• Support the APAC Head of Risk in developing and enhancing risk management framework, policies and procedures
• Controlling both electronic trading risk and market risk of strategies in real-time, and consequently escalating, reporting, and resolving any risk related issues in a timely manner
• Working closely with the Portfolio Managers, Traders, Core Engineering team, and Exchanges/Prime Brokers to respond effectively to any risk limit violation and resolving any trading and risk related issues
• Assisting Risk Management and Risk Technology teams to enhance the electronic trading risk controls and design the next generation of risk analytics and trading supervision systems
• Conducting ad-hoc risk analysis and back-testing on trading strategies on a regular basis

Qualifications

• Bachelor’s degree in Financial Engineering, Mathematics, Economics, Computing or related field. Quantitative Master’s degree highly regarded
• At least 5 years of experience in an electronic trading role gained from a quantitative proprietary trading group, systematic hedge fund manager, or sell-side electronic trading role
• Strong experience with algorithmic trading and low latency electronic risk controls is preferred
• Strong financial markets, products and valuation knowledge preferably in Equities, FX and related derivatives (futures and options)
• Understanding of regional exchange-specific rules and regulations
• Strong Python and database proficiency skills in conducting data and quantitative analysis
• Good track record of working with senior management, compliance, business management and technology teams
• Strong problem-solving skills, attention to details with excellent written and verbal skills
• Desire to continuously learn and proactively challenge the status quo to improve existing processes

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Position Summary:

This role primarily supports SEA financial forecast and Business Finance activities. The employee will support various aspects of the business financials to enable better decision making and improve the financial positions with analysis, management reporting, and financial operations. The role also supports regional SOX controls & enhancements for the CSBG business.

Job Responsibilities:

• Develop, analyze and business partnering with operations to present financial information in a timely manner to enable decision making and meeting the financial accountability of the organization to various stakeholders.
• Responsible in forecast inputs, analysis and period close journals of revenue, costs, spending to ensure high level of accuracy between forecast and actuals. Recommend financial solutions to improve profitability, AR collectability and ease of revenue recognition. Involve in Business Finance Operations: AR collection, manage revenue rebate programs, and resolve issues relating to GST, rebates, that may implicate AR / Revenue recognition.
• Compliance analysis and reporting relating to regional SOX controls of customer transactions in Spares, Upgrades, Services & Reliant system businesses. Drive regional SOX controls enhancements for CSBG business.
• Undertake streamlining projects and initiatives involving systems improvement, reporting improvement.
• Matrix accountability to respective supervisor.
• Any other duties as assigned by the Immediate Supervisor.

Job Requirements:

• Accounting / Finance or Business Degree with Finance modules;
• At least 10 years of Finance / Accounting experience with > 5 years of recent experience in Analysis & at least 1-2 years handling SOX tasks.
• Experience in supporting business finance operations (Revenue Recognition, manage rebate programs, AR collection, etc.)
• Past experience in systems improvement or streamlining projects would be advantage.
• Audit background preferred and/or good knowledge of US GAAP and Singapore FRS.
• Possesses strong inter-personal and communications skills. Out-going personality and successful examples in cross-functional collaboration, managing difficult work partners.
• Is meticulous and maintains detailed and accurate accounting records. Efficient in time-management and fast in execution.
• Commands good oral and written English.
• Has ability to work independently, possesses good analytical and problem solving skills.
• Good working knowledge of SAP preferred.
• Very strong in Microsoft Excel and Microsoft Powerpoint