Total 82 job vacancies in Singapore

Job Summary

We are looking for a Researcher / Senior Researcher to join a R&D team focused on Carbon Capture and Storage (CCS). This role involves conducting applied research, developing advanced technologies and solutions, and translating research outcomes into services and business models that address real-world customer and industry challenges.

Mandatory Skill-set

• Master’s Degree or PhD in Computer Engineering, Geological Analytics, Environmental Science, or related disciplines;
• Must have at least 3 years of relevant experience in Carbon Capture and Storage, including assessment, modelling, and prediction;
• Strong hands-on experience in geological analysis and CCS-related technologies;
• Experience in developing and executing Proof of Concept (PoC) with real-world applications;
• Experience in service design and customer-facing or stakeholder engagement activities;
• Good written and verbal communication skills.

Desired Skill-set

• Experience with Digital MRV and/or Blockchain technologies;
• Familiarity with Design Thinking methodologies; 
• Experience working with global or cross-functional research teams.

Responsibilities

• Conduct research and develop advanced technologies and solutions related to Carbon Capture and Storage (CCS);
• Perform assessment, modelling, and prediction to support CCS solution development;
• Design services and business models aligned with customer and market needs;
• Plan and execute Proof of Concept (PoC) to demonstrate solution value;
• Engage customers to gather requirements and support solution proposals;
• Prepare proposal documents, presentation materials, and technical reports;
• Collaborate with global research teams and multiple stakeholders to deliver solutions.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Job Summary

We are looking for a Researcher / Senior Researcher to join our client's R&D team focused on carbon-related services, including carbon assessment, green financing, and carbon trading. This role focuses on developing commercially viable carbon solutions, including service design, business models, and monetization strategies, while engaging financial institutions and ecosystem partners to bring solutions to market.

Mandatory Skill-set

• Master’s Degree or PhD in Service Design, Business, Sustainability, Finance, Engineering, or related disciplines;
• At least 3 years in service design, business model development, or sustainability / carbon solutions;
• Experience in ecosystem development, stakeholder engagement, or B2B solutioning;
• Knowledge of carbon accounting, carbon markets, or green finance mechanisms;
• Understanding of financial market, including trends, regulations, and key institutions;
• Strong communication and presentation skills.

Desired Skill-set

• Experience working with financial institutions or sustainability/ESG teams within banks;
• Existing network within financial ecosystem is a strong advantage;
• Experience in PoC, cross-functional or global collaboration.

Responsibilities

• Develop service offerings and business models for carbon-related solutions, including monetization strategies;
• Engage financial institutions and ecosystem partners to explore collaboration and go-to-market opportunities;
• Plan and execute Proof of Concept (PoC) to demonstrate solution value in real-world applications;
• Conduct research on customer challenges and translate into practical, market-ready solutions;
• Prepare proposal documents, presentation materials, and technical reports;
• Collaborate with global research teams and various stakeholders to develop and deliver integrated solutions.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Introduction

The Singapore-ETH Centre was established in 2010 by ETH Zurich - The Swiss Federal Institute of Technology and Singapore’s National Research Foundation (NRF), as part of the NRF’s CREATE campus. As ETH Zurich's only research centre outside of Switzerland, the centre has strengthened the research capacity of ETH Zurich to develop sustainable solutions to global challenges in Switzerland, Singapore and the surrounding regions.

Set in Asia, in a rapidly urbanising region, the Singapore-ETH Centre aims to provide practical solutions to some of the most pressing challenges on urban sustainability, resilience and health through its programmes: Future Cities Lab Global (FCL Global) and Future Health Technologies (FHT).

The centre serves as an intellectual hub for research, bringing together principal investigators and researchers from diverse disciplines and backgrounds. To promote the exchange of ideas and expertise, our researchers actively collaborate with universities and research institutes and engage with industry and government agencies to translate knowledge to practical solutions to real-world problems.

Project background

The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced through strategies such as reinforcement learning (RL) and innovative frameworks like the "graph of thoughts". We are firmly in the "Age of Computation", where breakthroughs in AI are synonymous with the ability to harness and optimize massive computational resources. However, this rapid growth in computational demands comes with a critical challenge: energy limitations. Around the globe, new power plants are being constructed to meet the demands of AI workloads, underscoring the urgent need for efficiency to ensure these advancements benefit humanity sustainably. Especially in Singapore, such resources may be scarce and hinder the ability of the country’s researchers to advance in this most important field.

Our collaborative efforts with the A*STAR Institute of High Performance Computing (IHPC) and other partners in Singapore, such as NTU, could be pivotal in this field, driving the development and implementation of innovative AI methods and saving millions of dollars in compute time while accelerating scientific productivity. To enhance the efficacy of AI for Science models, it is imperative to integrate simulations that encode prior scientific knowledge within these AI frameworks. This integration is aimed at creating new models imbued with robust prior knowledge, such as simulated behaviours defined by fundamental equations and conservation laws. Our approach involves the close collaboration of experts from A*STAR / IHPC, who bring extensive experience in high-performance computing and AI-driven scientific research. Together, we aim to push the boundaries of what AI can achieve in scientific domains, ensuring that simulations and AI methodologies are combined to produce highly accurate and reliable models.

Job description

The Postdoctoral Researcher will be co-leading the development of a novel open-source accelerator communication library (OCCL). This communication library should support point-to-point as well as collective communication calls. It should allow communication initiated by the host, as well as communication initiated within accelerator device kernels. It should support a wide range of devices and network substrates, such as NVLINK and next-generation ethernet networks.

Some key components in the work are:

• Co-lead the design and development of an open-source accelerator communication library (OCCL) supporting point-to-point and collective communication for distributed AI workloads.

• Design and implement communication primitives and algorithms optimised for machine learning training and inference workloads, supporting communication initiated by both host applications and accelerator device kernels.

• Investigate and optimise communication patterns for large-scale deep learning workloads, including techniques for improving efficiency through communication scheduling and over-lap with computation.

• Ensure the communication library is configurable and portable across diverse hardware platforms and network substrates, including modern high-performance interconnect technologies used in HPC and ML environments such as UCX, NVLINK, InfiniBand, UltraEthernet and related networking frameworks.

• Evaluate and optimise the communication library and associated software components on GPU clusters and large-scale computing systems, ensuring performance scalability, robustness and usability across heterogeneous computing architectures.

• Collaborate with researchers and engineers at partner institutions in Singapore and Zurich to integrate OCCL with the broader FastTrackAI software ecosystem.

• Maintain effective communication and collaboration with supervisors, research staff and ex-ternal partners distributed across Singapore and Zurich, ensuring alignment of research objectives and deliverables.

• Prepare and publish key scientific outputs, including papers documenting research out-comes and system developments.

• Contribute to the co-supervision of MSc and BSc students working on related research topics.

Selection Criteria

• PhD in Computer Science or any related field.

• The successful candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is required.

• A good working knowledge of the design principles of existing high-level communication libraries, such as MPI and NCCL.

• Experience and/or knowledge of modern communication and network technologies used in HPC and ML environments, such as UCX, NVLINK, InfiniBand, UltraEthernet or related frameworks.

• Prior knowledge of communication optimisation for large-scale ML training and inference workloads is essential. A candidate with existing publications in distributed ML systems, HPC systems or related are highly desirable.

• Since the aim of this project is to build a software product, not only a prototype, prior experience in managing and carrying out larger software engineering projects is required.

• The team working on this subject is distributed across Singapore and Zurich, thus a successful candidate must both be able to work independently and communicate effectively with remote colleagues.

• Applicants need to be proficient in written and spoken English.

Why SEC is your employer of choice?

• Accredited with 5 Tripartite Standards by Tripartite Alliance for Fair & Progressive Employment Practices (TAFEP) Singapore.
• A diverse workplace with 32 nationalities, offering ample opportunities for mutual learning.
• Positive and inclusive working environment.
• 25 days of annual leave for fixed-term contracts.
• 1 day of Birthday Leave.
• Annual dental benefits.
• Committed to being a supportive employer as you prioritize your physical and mental wellness.
• Comprehensive healthcare insurance coverage.
• Flexible hybrid work arrangement (up to 2 days per week from home).
• Abundant networking opportunities across various disciplines.
• Accredited with NS mark certification.

The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

Curious? So are we.

We look forward to receiving your online application with the following documents:

• A cover letter with a specific statement of your motivation for the project and how your background and experience align with the position.
• Your CV including the name and contact information of 2 references.
• A copy of your university transcripts as PDFs.
• Reference or recommendation letters may be included.

Applications via email or postal services will not be considered.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

Further information about The Singapore-ETH Centre can be found on our website: https://sec.ethz.ch/

For further information, please contact: Mrs Iva Kabosch (ETH Zurich) at iva.kabosch@inf.ethz.ch

Roles & Responsibilities

1. Responsible for the core technology development in the Post-Training phase of large language models, building and optimizing a high-quality Reward System. Continuously enhance the model's capabilities in complex instruction adherence, logical reasoning, and value alignment through Reward Modeling (RM) and Reinforcement Learning (RL) algorithms.
2. Conduct in-depth research and optimization of post-training algorithms such as RLHF to improve model training stability and final outcomes.
3. Manage and synthesize data in the post-training phase, design an efficient data feedback loop mechanism, utilize techniques like SFT and Self-Instruct to generate high-quality training data, and establish a closed-loop signal modeling system from User Feedback to model iteration.
4. Perform comprehensive evaluation and analysis of post-training models, develop scientific evaluation metrics, and keep up with cutting-edge technology trends, quickly translating the latest research results into business value.

Knowledge & Competencies:

1. Master's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
2. Deep understanding of the Transformer architecture and the principles of large language model training, with substantial research and practical experience in one of the post-training areas such as LLM Alignment, RLHF, or Reward Modeling.
3. Solid foundation in algorithms and engineering implementation capabilities, proficient in Python, and familiar with deep learning frameworks such as PyTorch or TensorFlow.
4. Practical experience in distributed training, familiar with large-scale training and inference frameworks like Megatron-LM, DeepSpeed, and vLLM. Experience in training or tuning models with billions or hundreds of billions of parameters is preferred.
5. Excellent research skills, with a record of high-quality publications (NeurIPS, ICLR, ICML, ACL, EMNLP, etc.) or contributions to high-impact projects in the open-source community (e.g., HuggingFace) preferred.

Strong technical enthusiasm and self-motivation, adept at analyzing and solving complex problems, with good teamwork and communication skills.

ABOUT CANVAS

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research.

Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts – our team produces impactful research that will change the way you look at the world.

WHAT YOU’LL DO

When you join the Canvas team, you’re signing up for the learning experience of your life. You will never look at anything the same – from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they’ve spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals.

Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a fundamental researcher, your qualitative research will explain the why. In this role you will:

• Become a subject matter expert on an assigned industry

• Learn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (e.g., structural shifts; real-time changes in supply/demand dynamics; and emerging competitors, markets, and technologies) and, importantly, why it is happening

• Synthesize your findings in comprehensive reports that present a view of the industry

• Gain unparalleled exposure to, and learn from, business leaders across industries, including private company executives and your colleagues

• Interact directly with our investment professionals and learn the discretionary investment process to help drive more informed investment decisions

WHAT EXCITES YOU

• Staying current on the evolving alternative data market and its role in discretionary investing

• Speaking with experts both inside and outside the firm to understand data needs and offerings

• Analytical thinking and sifting through available data to find “the answer”

• Fast-paced work environments that at times require switching gears to address the needs of the business

• Working as part of a cross-functional team made up of investment, research, and compliance professionals

WHAT EXCITES US

• Excellent attention to detail, organization, and project management skills

• Superb business intuition and a solution orientated, methodological approach to problem solving

• Ability to collaborate and build relationships across multiple business units within the Firm

• People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude

• Adherence to the highest ethical standards working closely with the firm’s Compliance team

WHAT’S REQUIRED

• An undergraduate degree or advanced degree with demonstrated academic success

• Strong analytical skills

• Excellent written and verbal communication abilities

• An eagerness to find out if your conclusions are right or wrong

• An understanding of how companies work (their processes and outcomes) or an interest in learning

• Intellectual curiosity, creative thinking, maturity

• Highest standards of ethical decision making

WHAT SUCCESS LOOKS LIKE

• Integrity – You demonstrate 100% commitment to the highest ethical standards

• Ownership – You take charge of your work, uphold your commitments, and always do your best

• Commerciality – You focus on what matters most, ask questions when needed, and are cognizant about not wasting your time or that of others

• Humility – You welcome and are receptive to feedback and learn from past mistakes

• Adaptability – You can triage business needs and context switch quickly and efficiently

• Admirability – You elevate the room through your work ethic, domain knowledge, work product, and solution orientated attitude

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• health care benefits

• Generous parental and family leave policies

• Mental and physical wellness programs

• Volunteer opportunities

• Non-profit matching gift program

• Support for employee-led affinity groups representing women, minorities and the LGBT+ community

• Tuition assistance

• Contract duration: 1 year with a public agency
• Salary: Up to $5,500/month

Responsibilities

• Utilize LinkedIn Recruiter, social media, and professional networks to identify potential candidates for niche and hard-to-fill roles
• Craft personalized outreach messages to engage and attract qualified talent
• Develop and maintain a talent pipeline and conduct talent mapping to ensure continuous candidate flow
• Apply expert Boolean search queries and complex search strings to source candidates from internet and databases
• Collaborate with recruiters and hiring managers to define candidate profiles and role requirements
• Maintain accurate and up-to-date candidate data in the Applicant Tracking System (ATS)

Required competencies and certifications

• Minimum degree in HR, Business, or a relevant field of study
• 2 to 4 years of experience sourcing candidates in the semicon/manufacturing sector

Preferred competencies and qualifications

• Proficiency with LinkedIn Recruiter, Applicant Tracking Systems (ATS), and sourcing software
• Strong interpersonal and networking skills

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Chloe Chew (R1768631)
ScienTec Consulting (ScienTec Personnel) - 11C5781

Company Overview / Employee Value Proposition

6Estates Pte Ltd specializes in data and social media analytics. Building upon years of research on big data analysis within NUS, we developed state-of-the-art products that can automatically gather, analyze and predict social media signals about organizations, products, brands, people, location and events. Led by industry veterans and researchers from the NUS-Tsinghua Center of Extreme Search, 6Estates comprises a strong team of seasoned professionals who understands the digital media landscape, from development to bringing the products to market.

Job Summary

Lead the strategic development and execution of the company’s AI research roadmap, driving innovation in advanced AI models and integrating research breakthroughs into scalable commercial solutions. Collaborate across teams and stakeholders to ensure technical excellence, responsible AI governance, and impactful product delivery.

Responsibilities

• Define and drive the company’s long-term AI research roadmap aligned with commercial and product objectives
• Identify and evaluate emerging AI technologies such as foundation models, multimodal AI, agents, and reasoning systems to inform strategic initiatives
• Represent the company’s AI capabilities to investors, partners, and regulators to support business growth and collaboration
• Lead the development and optimization of advanced AI models including large language models (LLMs), multimodal models, and fine-tuned domain-specific models
• Oversee experimentation, benchmarking, and evaluation frameworks to ensure model performance meets defined targets for accuracy, latency, and cost efficiency
• Ensure technical excellence in model architecture design, training pipelines, and optimization processes
• Guide publication strategy and intellectual property generation to enhance the company’s research impact and innovation portfolio
• Translate research breakthroughs into deployable AI solutions by collaborating closely with Product, Engineering, and Business teams
• Define and enforce model performance targets and ensure AI solutions are scalable, secure, and compliant with relevant standards
• Build and lead a high-performing team of AI scientists and research engineers, establishing best practices for experimentation and model governance
• Mentor senior researchers and technical leads to foster professional growth and scientific rigor
• Cultivate a culture of innovation and continuous improvement within the AI research team
• Establish and maintain an AI governance framework that ensures responsible AI practices including bias mitigation, explainability, and safety
• Oversee model risk management and ensure regulatory readiness for AI deployments

Required competencies and certifications

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related field (strongly preferred)
• Significant published research in reputable AI conferences or journals such as NeurIPS, ICML, ACL, or CVPR
• Deep expertise in large language models (LLMs), transformer architectures, reinforcement learning, model optimization and distillation, and multimodal AI systems
• Strong hands-on experience with PyTorch or TensorFlow frameworks
• Proven experience with distributed training and GPU/TPU infrastructure
• Proficiency in developing and managing model deployment pipelines