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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work with the PI in applied cryptography, especially in zero-knowledge proofs.

Job Requirements

• PhD degree in Computer Science or other closely related disciplines
• Excellent knowledge in applied cryptography and zero knowledge proof
• Strong publication record in applied cryptography and zero knowledge proof

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 successful candidate will work with Professor HUANG DEJIAN on Plant proteins for Cultivated meat under a project on SUSTAINABLE PRODUCTION OF CULTIVATED MEAT: MEDIA, SCAFFOLDS AND BIOPROCESS.

The main responsibilities of the position include:
1) Coordinate activity of progress of sub-projects of this grant funded by government (Singapore Food Agency)
2) Lead development of plant proteins as new edible biomaterials for scaffold fabrication and coating materials to improve cyto-affinities
3) Write progress reports of the grant
4) Write invention disclosures
5) Write manuscripts for publication
6) Write grant proposals related to the plant protein work
7) Supervise junior students

Qualifications

Qualifications / Discipline:
PhD degree majoring in Food Science and Technology or closely related fields.

Skills:
Skilled at extraction of plant proteins and Natural products. Food analysis methods such as HPLC, SDS-PAGE, proximate analysis, cell culture skills, imaging molecular biology experimentation skills. Good communication skills in writing and spoken English skills in scientific writing including creative graphic presentation.

Experience:
0-3 years of working experience.

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 Singapore Nuclear Research and Safety Initiative (SNRSI), a university-level research institute at NUS established in 2014, is committed to excellence in nuclear safety research. Within SNRSI, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is dedicated to advancing the academic community while tackling real-world challenges faced by government agencies and stakeholders.

With several positions open for Research Assistant/Research Associate, we welcome motivated candidates to join us – an excellent opportunity to collaborate with colleagues from world-leading universities and develop essential skills in the exciting world of modelling and cutting-edge technologies, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths.

• Radionuclide dispersion modelling

The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes. The aim is to enhance our understanding of how radionuclides are transported and dispersed in the environment, providing a robust foundation for further impact or consequence assessment.

• Radiological impact and dose assessment

Mathematical models or empirical approaches are employed or developed to quantitatively analyse radionuclide pathways. The radiation exposure doses, potential contamination of food or water sources are subsequently estimated. The goal is to provide reliable and practical references for emergency planning or mitigation measure implementation.

Qualifications

• A degree or higher qualification in a relevant field, such as physics, mathematics, environmental sciences, and computer science, etc.
• A strong understanding of fundamental physics, mathematics, and statistics.
• Proficient in Python programming. Having experience in other coding languages, such as C/C++, Fortran, MATLAB, or Linux shell scripting, is a plus.
• Experience with modelling using tools/models such as FLUENT/OpenFOAM, Deflt3D, ROMS, WRF, HYSPLIT, or RODOS is considered an advantage.

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

Irradiation of the brain in early human life may set abnormal developmental events into motion that last a lifetime, leading to the development of different neurological and neuropsychological disorders. By working on post- or pre-natal irradiated mice, the candidate will have an in-depth understanding of the mechanism of disease genesis, could explore to develop modern radiation detection, disease diagnosis techniques and novel therapy to prevent genesis of neurological and neuropsychological disorders from a long-term point view.

We are seeking motivated Research Assistant / Research Associate and the successful incumbent will work with a team of scientists engaged in radiobiology research. The duties include but are not limited to:

• Routine lab work and maintenance
• Small animal handling
• Molecular biology work
• Bioinformatical analysis
• Cell culture
• Histochemical and immunohistochemical staining.

Qualifications

• A B.Sc. and/or Master degree holder in biology or biomedical science
• Prefer to do small animal research work
• 2-3 years of working experience in biomedical research laboratory
• Some background in neuroscience, radiation research, biomarker development and bioinformatical analysis will be a preference
• Good communications skills and a team player

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 successful candidate will work with Associate Professor Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories is a plus.

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• 
  
• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

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 Institute for Functional Intelligent Materials (I-FIM) is looking for postdoctoral research fellows to work on topics in machine learning and its scientific applications. The successful candidate will work with Principal Investigators in I-FIM on these topics.

The main responsibilities of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) the following:

• Data-driven multiscale modelling
• Approximation and optimisation theory of new architectures with applications in dynamics
• Learning and controlling deterministic and stochastic dynamics

Job Requirements

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields
• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics and chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning frameworks, e.g., Jax, PyTorch
• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, and/or top journals in applied sciences.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly skilled and motivated researcher for Data Center Digital Twin Research and Development. He/she will assist the PIs in evaluating and advancing digital twin solutions for enhanced system performance. The role involves benchmarking existing technologies, developing and evaluating conceptual models, conducting virtual experiments to optimize operational efficiency, and research and development of advanced features. The project is in collaboration with a data centre operator.

Qualifications

Qualification:

PhD degree in Mechanical Engineering, Mechatronics, Computer Science, or a related field

Experience:

Prior experience digital twin solution, simulation, system design, data center thermal control, is helpful.

KPay Merchant Service Limited (KPay) is a fintech company committed to unleash the growth potential of businesses of all sizes, with simple and smart technology. Serving over 40,000 merchants in Hong Kong, Singapore & Japan, KPay aspires to be the comprehensive business platform of choice for merchants across the Asia Pacific, through its various solutions of customer-led payment, financial management, operational and digital transformation products and services.

Responsibilities:

• Reporting directly to the Regional Market Expansion team
• Identify new markets: research and identify new geographic regions, customer segments, or product utilization/developments that offer potential for business expansion in target markets
• Develop and implement expansion strategies to enter new markets
• Conduct market research: Gather and analyze data on industry trends, customer needs, commercial prospects and market niches in local landscape
• Monitor performance: Track and report on the performance of market expansion initiatives including sales, customer satisfaction, market share, and adjust strategies when needed
• Develop vertical business plans to expand existing overseas markets
• Negotiate new and ongoing commercial partnerships with domestic partners
• Create marketing tactics to improve product offers, program strategies, and corporate competitiveness

Requirements:

• Min. 1 year of relevant work experience in fintech / payments / strategy / management consulting / or internet start-ups
• Fresh Graduates are welcome to apply
• Strong analytic skills and experience with market research and data analysis
• Excellent communication and interpersonal skills to build relationships and influence stakeholders at all levels
• Based in SG, overseas travelling required only after work performance is stabilized

• We seek out for a researcher with a PhD in Physics or similar. In particular the candidate is expected to have a strong back ground in many-body quantum physics with extensive experience in tensor networks and neural network quantum states.
• The researcher will work on developing the numerical approaches and apply them to areas such as quantum thermodynamics, many-body quantum systems out of equilibrium and biology.
• High competence in parallel programming and GPU programming is preferred.

Our group is seeking a highly motivated Research Fellow with expertise in Additive Manufacturing processes to join our dynamic team. The ideal candidate should hold a Doctoral Degree in Mechanical Engineering or a related field and possess extensive hands-on experience in a variety of additive manufacturing techniques, including Fused Deposition Modeling (FDM), Direct Ink Writing (DIW), Digital Light Processing (DLP), and software development for slicing and toolpath generation.

Key responsibilities include:

• Writing research proposals to secure funding and support ongoing initiatives.
• Driving research and development efforts for translational projects with a focus on industrial applications.
• Collaborating with a multidisciplinary team to innovate and optimize additive manufacturing techniques.
• Leading experiments, analyzing data, and publishing findings in high-impact journals.
• Providing mentorship and technical guidance to junior researchers and students.

The successful candidate will have a strong background in designing and implementing advanced manufacturing workflows, a track record of impactful research or industrial experience, and the ability to bridge the gap between theoretical innovation and practical application. A passion for innovation, excellent problem-solving skills, and the ability to work independently and as part of a collaborative team are essential.

Essential duties and responsibilities for this position include:

The candidate will work together with a multidisciplinary research team to develop novel optoelectronic nanoscale devices and develop on-demand light-matter interaction technology.

The detailed job requirements:

• Strong publication track record
• Strong foundation knowledge in optics
• Strong capability with optical alignment and optical characterization is an essential requirement.
• Self-motivated and passionate on research work
• Possess good critical thinking and problem-solving skills.
• Good team player
• Excellent oral and written communication skills
• Prior experience with fabrication or manufacturing of optical elements or devices will be an advantage.
• Experience in FDTD or COMSOL for optics simulation will be an advantage.

Job Requirements

• PhD degree in physics/optics, materials science, and electrical and electronic engineering;
• Fresh PhD graduate and post-dos are welcome to apply for this position.

Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

• Required:
  • A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
  • Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
  • Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
  • Ability to develop and modify simulation codes to model complex, multi-physics systems.
  • Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
  • Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Eligibility:

• Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.

• We seek out for a researcher with a PhD in Physics or similar. In particular the candidate is expected to have a strong back ground in many-body quantum physics with extensive experience in tensor networks and neural network quantum states.
• The researcher will work on developing the numerical approaches and apply them to areas such as quantum thermodynamics, many-body quantum systems out of equilibrium and biology.
• High competence in parallel programming and GPU programming is preferred.

MAIN JOB RESPONSIBILITIES

• Responsible for bottom-up fundamental analysis and due diligence of companies and industries in order to make investment recommendations.
• Strong analytical skills with the ability to form an independent opinion.
• High degree of proficiency with understanding and analyzing financial statements.
• Monitor sector, market and economic conditions and assess their impact on portfolios.
• Conduct ongoing due diligence and monitoring of portfolio companies.
• Communicate investment ideas effectively and prepare presentation materials for investment committee meetings.

QUALIFICATION & SKILLS REQUIRED

• Bachelor degree in a related field.
• Additional professional certifications (e.g. CFA) would be a plus.
• 3-5 years of experience in the finance or investment industry, preferably in asset and wealth management.
• Strong knowledge of investing and financial markets, particularly in the equity asset class.
• Previous experience with developed markets equities and derivatives would be an advantage
• High level of attention to details.
• Excellent written and verbal communication skills.
• Strong knowledge of Microsoft Excel and Bloomberg.
• Self-motivated, driven, and positive individual with a strong work ethic.
• Strong team player and able to work independently with minimum supervision.

Research Fellow position available to lead research projects in Optics and Photonics. Particularly we are interested in the specific topic of nanoantenna-enhanced light emitting devices. Here, the goal is to incorporate plasmonic and/or dielectric antennas to enhance performance of optical and electrically driven light sources that consist of quantum emitters such as quantum dots, dyes, nanoparticle upconversion clusters. The researcher will work in collaboration with teams across Singapore including NUS, IMRE, NTU and SUTD to design, fabricate and test devices.

Candidates with PhD in experimental research in materials and optics are welcome to apply.

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.

How will you make an impact in this role?

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.
• 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

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
• 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
• Minimally 2 years and above of relevant experienceand 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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

About the company

Our client is an established local life science firm. They are looking for an experienced HR Manager to support the full spectrum of HR for its local operations, focusing on performance management, learning and development, HR operations and HRIS.

About the job

The role will report into the Head of HR and is part of the team of 5 based in Singapore. Working closely with the business stakeholders, you will:

• Manage key stakeholders across various business units to drive HR strategies
• Drive and support various aspects of HR focusing on performance management, salary review, budget and workforce planning, learning and development and HRIS
• Drive, implement and improve HR policies and programmes in alignment to business objectives and local legislation
• Support other HR initiatives and regional projects

Skills and experience required

• Degree in Human Resources, Business Administration or equivalent
• Minimum 10 years’ of HR experience, with HR generalist experience
• Strong communication skills and relationship management
• Solid knowledge of local labor legislation and practices of Singapore
• Independent and self-motivated
• Collaborative and a team player

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.

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering.
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering with min 5 years of relevant experience
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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

The German European School Singapore (GESS) is looking for experienced Middle School Science Teacher for Grades 6-8 covering the MYP IB Curriculum, commencing on 1 August 2025.

In your teaching commitment at GESS, you will need to take on the following responsibilities where you will be expected to:

· Develop a strong relationship with all parents and students

· Be a role model who mentors and guides students to ensure they meet their full potential

· Actively review student assessment data, including academic, behavioral and social/emotional, to set learning goals, develop student agency and put in place interventions to ensure successful learning of each individual.

Experience and Qualifications

• Recognised teaching qualification (minimum B.Ed or PGCE equivalent)
• Tertiary educational background
• At least 4 years teaching experience
• Knowledge, understanding and teaching experience of the IB Middle Years Programme and/or IB Diploma Programme
• Articulate and effective written and oral communication in English
• Ability to work collaboratively, professionally and effectively within a team
• Experience of working in an international school setting advantageous
• Willingness to adapt to and embrace a new school environment
• Willingness to contribute and champion educational change that supports best practice and improve student learning

Professional Expertise

• Cognitive Activation / Pedagogical Subject Knowledge: The teacher has a deep understanding of the curriculum, pedagogy, subject content, and the developmental needs of students to effectively provide rich learning experiences.
• Classroom Management: The teacher understands the importance of establishing routines and procedures and providing a safe, supportive, student-centered learning environment.
• Formative Assessment: The teacher can effectively use differentiated assessment tools and strategies and understands how to make accommodations for individual students that drive learning forward.
• Student Well-being & Safeguarding: The teacher is a caretaker of the student’s social health and emotional well-being. They support healthy peer relationships and interactions. At the same time, they are guiding individual emotional, well-being and social development through the application of restorative practices.
• Professionalism: The teacher is committed to professional ethics, international-mindedness, and the school’s mission; collaborates and communicates appropriately and takes responsibility for professional growth that enhances student learning.

Keen to collaborate and share your specialist expertise, you will be a fitting ambassador for the school. You will communicate with confidence across diverse audiences and situations, using your expertise to build strong relationships across the GESS community.

Our School

The German European School Singapore (GESS) is a multi-lingual, not-for-profit, German international school in Singapore with a distinct European flavour. As an accredited ‘Excellent German School Abroad’, the German Section of GESS offers all major German school leaving certificates.

Our European Section offers tuition in English for students from grade 1 - 12 across all three IB programmes (the PYP, the MYP and the IB Diploma Programme) as an authorised IB World School.

Children aged 2 years onwards can enroll in our Preschool where children are following the PYP programme in German-speaking, English-speaking or bilingual groups. In addition to an outstanding academic education, GESS strives to teach students community values such as respect, openness and diversity.

To Apply

We offer an exciting working environment in an international and cooperative team. Your application should include a letter of application and your complete resume. Please indicate your reasons for applying for the position.

Our Selection Process

At GESS we adhere to fair employment practices that consist of hiring practices that are fair, merit-based and non-discriminatory.

We are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and child protection as we promote the welfare of all our pupils irrespective of race, ability, religion, gender or culture.

All post holders are subject to appropriate vetting procedures including satisfactory reference and background checks and the offer of employment will be subject to the completion of these.

Please note, that only shortlisted candidates will be notified.

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

Position title : Vision Software Engineer

Location: Admirality Street
Working Days: 5 Day A Week
Working hours : 9:00am - 6:00pm
Salary : $5000 - $8000 (depends experience)

Job Summary:

We are seeking an experienced Software Engineer to join our team, responsible for
designing, developing, and maintaining software applications for vision systems.

Responsibilities:

• Design and develop PC based automated visual inspection systems for our full range of semiconductor equipment.
• Evaluate and feasibility study on the customer’s vision specifications.
• Responsible to integrate any new vision hardware (camera, frame grabber, etc) onto the vision software.
• Troubleshooting and improve the processing time of the inspection.
• Provide technical support to internal and external customers to fulfill the inspection requirements. Change the vision inspection algorithm to improve the inspection capabilities and its performance.
• Be the key driver for continuous improvement plans for new and existing inspection capabilities.
• Coordinate with customer for any new enquiry with sale personnel if needed.
• Work closely with the vision application and optics team members to produce the best inspection result.
• Build and nurture a culture in engineering organization of harmony, quality, ownership, collaboration, continuous improvement and data-driven decision making.

Requirements:

• BS Science Diploma or higher in electrical and electronic, mechanical, or mechatronics engineering or related technical discipline or equivalent practical.
• Technical troubleshooting experience.
• Minimum 3 years in related field.
• Relevant technical work experience including automation machine system troubleshooting.
• Experience working with end customers.
• Understanding semi-conductor manufacturing process, vision inspection settings, machine software settings and configuration or equivalent practical experience.
• At least 3+ years of experience in software development with C#, WPF, Image Processing , Halcon (bonus)

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