Total 2,516 Science / R&D / Research job vacancies

HPC Lead / HPC Architect (Linux, GPU, Cloud HPC) – 8+ Years Experience

Role Overview

We are looking for an experienced HPC Lead / HPC Architect to design, implement, and manage large-scale High Performance Computing (HPC) environments. This role will drive architecture, performance optimization, and transformation initiatives across compute (CPU/GPU), storage, and high-speed networking, supporting AI/ML, research, and enterprise workloads.

Key Responsibilities

• Lead architecture, design, and deployment of HPC clusters (CPU & GPU computing environments)
• Own the end-to-end HPC lifecycle: design, build, deployment, operations, and optimization
• Define and manage job scheduling systems (Slurm, PBS, LSF) and workload orchestration
• Drive performance tuning, benchmarking, and optimization for compute-intensive workloads (AI/ML, simulation, analytics)
• Architect and manage high-performance storage systems (Lustre, GPFS/IBM Spectrum Scale, BeeGFS)
• Design and implement low-latency, high-throughput networking (InfiniBand, RDMA, high-speed Ethernet)
• Lead hybrid and cloud HPC integration (AWS, Azure, GCP HPC solutions)
• Build and maintain automation frameworks (Ansible, Terraform, Infrastructure as Code, scripting)
• Implement monitoring, observability, logging, and capacity planning (Prometheus, Grafana, ELK, AIOps tools)
• Ensure security, compliance, identity and access management (IAM, LDAP/AD)
• Collaborate with research teams, data scientists, application owners, and business stakeholders
• Mentor and lead HPC engineers, system administrators, and infrastructure teams
• Drive innovation in GPU computing, AI/ML infrastructure, and advanced automation

Required Skills & Experience

• 8+ years of experience in HPC, Infrastructure Engineering, or Linux System Engineering
• Proven expertise in:HPC cluster architecture, deployment, and operationsLinux/Unix systems administration at scale (RHEL, CentOS, Ubuntu)CPU and GPU computing environments (NVIDIA GPU, CUDA preferred)
• Strong hands-on experience with:Job schedulers (Slurm, PBS, LSF)High-performance distributed storage (Lustre, GPFS, BeeGFS)Networking (TCP/IP, DNS, InfiniBand, RDMA, low-latency fabrics)
• Experience in automation and scripting (Python, Bash/Shell, Ansible, Terraform)
• Knowledge of cloud HPC architectures (AWS ParallelCluster, Azure CycleCloud, GCP HPC)

Preferred / Nice-to-Have Skills

• Experience with AI/ML infrastructure, deep learning workloads, or research computing
• Familiarity with containerization and orchestration (Docker, Kubernetes for HPC workloads)
• Exposure to observability platforms, AIOps, and predictive monitoring
• Experience in large-scale enterprise, research institutes, or university HPC environments
• Knowledge of DevOps / Platform Engineering practices

Leadership & Profile

• Strong stakeholder management and cross-functional collaboration skills
• Ability to translate business or research requirements into scalable HPC architecture
• Proven experience in team leadership, mentoring, and technical decision-making
• Strategic mindset with hands-on technical depth in HPC systems and infrastructure

• Up to $7,500 basic + Variable bonus.

• Permanent position/ 5 work days

• Participate in the construction new design and building project at Jurong east area.

 Our client is a reputable MNC and leading A1 main contractors diverse in civil and large-scale infrastructure projects.

Job Responsibilities:

• Report to the Project Manager

• Support project and construction management for building projects

• Develop and review architectural and engineering drawings to ensure compliance with specifications and regulations

• Liaise with architects, engineers, and other technical teams to ensure design requirements are met

• Oversee construction activities, including planning, implementation, and monitoring of work schedules in accordance with the master and detailed work programme

• Liaise with consultants on technical issues and coordinate with subcontractors on site activities

• Prepare reports and method statements

• Monitor ongoing construction activities

Qualifications:

• Bachelor’s Degree in Civil Engineering or Building

• Experience in large-scale building construction projects preferred

  Other Information:
  To apply please click on the APPLY NOW button or email your resume to search84@searchindex.com.sg with the following details inside your resume 
  • Reason for leaving each past & current employment
  • Salary drawn for each past & current employment
  • Expected Salary
  • Earliest availability date
  We regret only shortlisted candidates will be notified.  
  Lionel Cheow
  EA License | 14C7092
  EA Registration Number | R1105005

Are you eager to dive into a world of data-driven insights?

Asia Insight is looking for dynamic Market Research Interns to join our team and gain real exposure to the world of market research and consulting.

✨ Why Join Us?

• Hands-on experience in a dynamic industry
• Mentorship from industry professionals
• Opportunities to make a real impact and contribute meaningfully to projects
• Gain insider exposure to the workings of a market research consultancy and the corporate world
• High-performing interns may be considered for full-time research consultant roles upon graduation

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements
- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set outin the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No: R1770602 (Teng Min Yee)

Head of Science (Primary school level)

Working days & hours :
Centre days: 44 hours per week ; 4 weekday (1030AM-730PM / 1230PM - 930PM) + 1 weekend (830AM - 630PM)
HQ days (Meeting): Weekdays 930AM to 630PM 
Working location: Toa Payoh, travel to Woodleigh Mall to support the launch of new classes (including at least one new class). 
Salary: $6000 - $7500
Report to: Managing Director 

Role Overview: We are hiring a Head of Science (Primary) to lead and strengthen a structured P3‒P6 Science programme.

This is a hands-on leadership role combining curriculum ownership, teaching, and teacher development. The role operates within an existing programme framework and is responsible for refining, improving, and scaling it to ensure consistent teaching quality and strong student outcomes across centres.

This role is critical in ensuring the programme delivers reliable results beyond individual teachers, with clear ownership over curriculum standards, teaching consistency, and overall programme effectiveness.

We’re looking for someone who can take a structured primary science programme, ensure consistent quality, and successfully roll it out across multiple centres.

Job Responsibilities: 

• Oversee and refine the P3‒P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4‒6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

Requirement:

• Degree in Science or related field (MOE/NIE-trained preferred
• Minimum 5‒8 years of Primary Science teaching experience.
• Proven track record of improving student outcomes. 
• Experience in curriculum development, mentoring, or academic leadership is advantageous. 
• Comfortable with weekend work and centre-based environment

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Membrane%29%2C-ChBE/32608-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (membrane) positions in the Department of Chemical Engineering at National University of Singapore (NUS). 
With a strong focus on industry-driven projects, our team is advancing high-impact membrane solutions beyond the laboratory scale toward real-world deployment.

As a Research Fellow, you will work on an industry-funded project focussing on scaling up advanced membrane systems for carbon capture applications. The role involves designing, optimizing, and scaling membrane modules and testing platforms. We are seeking independent, talented, and experienced individual who is motivated to translate research into practical technology.

Candidates interested in entrepreneurship and startup environments are strongly encouraged to apply.

Key Responsibilities
-    Lead the design and fabrication of membrane modules for gas separation applications.
-    Fabricate hollow fiber membranes via spinning processes for gas separation.
-    Scale up hollow fiber membrane and module fabrication from laboratory to pilot scale.
-    Design and build testing setups for hollow fiber membrane gas separation systems.
-    Conduct membrane performance testing for carbon capture applications.
-    Liaise with manufacturing partners and vendors to develop prototypes and ensure successful fabrication from design to production.
-    Willing to learn simulation tools, such as ASPEN HYSYS, COMSOL CFD, Matlab.
-    Perform process simulation and optimization using tools such as Aspen HYSYS.
-    Conduct CFD simulations to optimize membrane module design.
-    Develop and improve experimental and modeling workflows for membrane scale-up.

Job Requrements

-    PhD in Chemical Engineering, Environmental Engineering, Mechanical Engineering, or a related field.
-    Strong knowledge of membrane materials, membrane chemistry, and gas separation mechanisms.
-    Experience in hollow fiber membrane spinning and module fabrication for gas separation applications.
-    Experience in membrane testing and characterization for gas separation systems.
-    Experience working with polymeric or crystalline materials (e.g., MOFs, ZIFs, COFs) is preferred.
-    Additional experience in membrane technology scale-up is an advantage.
-    Familiarity with Aspen HYSYS, COMSOL (CFD), or MATLAB is beneficial.
-    Highly motivated, detail-oriented, and able to work both independently and collaboratively in a fast-paced research environment.
-    Not afraid to experiment and enjoys hands-on tinkering.
-    Thinks critically and develops customized solutions to troubleshoot problems.
-    Interest in entrepreneurship or startup ventures is encouraged.
-    Fluent in English (written and spoken).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32611-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28LKYSPP%29-%2832626%29/32626-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kuan Yew School of Public Policy at the National University of Singapore invites applications for a full-time Research Assistant position for the period of August 2026 to July 2027.  The Research Assistant will work under the supervision of Dr. Dean Dulay, Assistant Professor at the Lee Kuan Yew School of Public Policy.  The successful candidate will support an active research program in comparative politics, with a thematic focus on state formation, colonial political development, governance, and public opinion in Southeast Asia and beyond.

• Conduct and synthesize literature reviews
• Assist in the design and implementation of survey and experimental studies
• Support multi-country data collection and fieldwork
• Carry out qualitative and quantitative data analysis
• Contribute to the preparation of manuscripts for submission to peer‑reviewed journals
• Assist with interview coordination and transcription as part of ongoing fieldwork activities

Qualifications

• Bachelor’s degree or higher in Political Science, Public Policy, or a related social science discipline
• Prior research experience in comparative politics or Southeast Asian studies (advantageous)
• Proficiency in quantitative data analysis preferred
• Working knowledge of statistical software, particularly Stata and R, strongly desirable
• Detail-oriented, self-directed, and capable of managing multiple tasks across concurrent projects in a fast-paced research environment
• Due to nature of the role, strong written and oral communication skills in English required

This is a one‑year, full‑time appointment based in Singapore, with the possibility of extension subject to performance and funding availability.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Membrane%29%2C-ChBE/32607-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (membrane) positions in the Department of Chemical Engineering at National University of Singapore (NUS). 
With a strong focus on industry-driven projects, our team is advancing high-impact membrane solutions beyond the laboratory scale toward real-world deployment.

As a Research Fellow, you will work on an industry-funded project focussing on scaling up advanced membrane systems for carbon capture applications. The role involves designing, optimizing, and scaling membrane modules and testing platforms. We are seeking independent, talented, and experienced individual who is motivated to translate research into practical technology.

Candidates interested in entrepreneurship and startup environments are strongly encouraged to apply.

Key Responsibilities
-    Lead the design and fabrication of membrane modules for gas separation applications.
-    Fabricate hollow fiber membranes via spinning processes for gas separation.
-    Scale up hollow fiber membrane and module fabrication from laboratory to pilot scale.
-    Design and build testing setups for hollow fiber membrane gas separation systems.
-    Conduct membrane performance testing for carbon capture applications.
-    Liaise with manufacturing partners and vendors to develop prototypes and ensure successful fabrication from design to production.
-    Willing to learn simulation tools, such as ASPEN HYSYS, COMSOL CFD, Matlab.
-    Perform process simulation and optimization using tools such as Aspen HYSYS.
-    Conduct CFD simulations to optimize membrane module design.
-    Develop and improve experimental and modeling workflows for membrane scale-up.

Job Requirements

-    PhD in Chemical Engineering, Environmental Engineering, Mechanical Engineering, or a related field.
-    Strong knowledge of membrane materials, membrane chemistry, and gas separation mechanisms.
-    Experience in hollow fiber membrane spinning and module fabrication for gas separation applications.
-    Experience in membrane testing and characterization for gas separation systems.
-    Experience working with polymeric or crystalline materials (e.g., MOFs, ZIFs, COFs) is preferred.
-    Additional experience in membrane technology scale-up is an advantage.
-    Familiarity with Aspen HYSYS, COMSOL (CFD), or MATLAB is beneficial.
-    Highly motivated, detail-oriented, and able to work both independently and collaboratively in a fast-paced research environment.
-    Not afraid to experiment and enjoys hands-on tinkering.
-    Thinks critically and develops customized solutions to troubleshoot problems.
-    Interest in entrepreneurship or startup ventures is encouraged.
-    Fluent in English (written and spoken).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Chemical-Imaging-and-nanocatalysis%29/32606-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;  https://www.mingzhaogroup.com/)  

Qualifications

•    PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
•    Expertise in optical imaging and nanocatalysis
•    Published in reputable international journals. 
•    Responsible and able to work independently. 
•    Good written and spoken communication. 
•    Good team player across multiple disciplines. 
•    < 5 years work experience after obtaining a PhD degree

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32610-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders.
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• Masters or PhD in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc.
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Job Summary

The Network Infrastructure & Security Engineer will be responsible for the design, deployment, operation, and optimization of our network infrastructure, including routers, switches and firewalls. This includes supporting external vendors to deploy network assets and taking over control and maintenance from vendors from day 2 onwards. The role shall also be responsible for developing, implementing and maintaining cybersecurity policies and controls to protect systems and data from evolving threats. A strong understanding of networking principles, cybersecurity frameworks, and a passion for staying ahead of emerging threats are essential.

Solution Sourcing and Strategy

• Research, evaluate, and recommend new cybersecurity and network solutions to enhance our security posture and network capabilities.
• Conduct market analysis to identify emerging technologies, vendors, and best practices relevant to our infrastructure and security needs.
• Develop business cases and justifications for new solution procurements.

Vendor Management & Solution Deployment Oversight

• Manage and coordinate with external vendors throughout the lifecycle of solution deployment, from selection to post implementation review.
• Review and validate vendor provided designs, configurations, and implementation plans to ensure alignment with organizational security policies and network architecture standards.
• Oversee the successful integration of new solutions into the existing infrastructure.

Post Deployment Maintenance & Operations

• Perform ongoing maintenance, configuration, and optimization of network devices (routers, switches, firewalls, load balancers) and security systems (IDS/IPS, SIEM, EDR, antimalware, vulnerability scanners).
• Monitor network and system activity for suspicious behavior, security incidents, and unauthorized access, taking prompt action as needed.
• Conduct regular vulnerability assessments, penetration testing, and security audits to identify and address weaknesses post deployment.
• Develop and implement incident response plans, leading efforts to contain, eradicate, and recover from cyberattacks.
• Manage and maintain identity and access management (IAM) solutions.

Security Policy and Compliance

• Develop, implement, and enforce cybersecurity policies, standards, and procedures.
• Ensure compliance with relevant industry regulations and frameworks (e.g., GDPR, HIPAA, ISO 27001).
• Conduct regular security awareness training for employees.

Troubleshooting and Documentation

• Diagnose and resolve complex network and security issues efficiently.
• Perform regular system updates, patching, and configuration management for network and security devices.
• Maintain detailed documentation of network configurations, security policies, and incident response procedures.

Collaboration and Continuous Improvement

• Collaborate with IT teams, developers, and other stakeholders to integrate security into all aspects of the infrastructure and software development lifecycle.
• Stay up to date with the latest cybersecurity threats, technologies, and best practices.

Job Requirements:

• Bachelor degree in Computer Science, Information Technology, Cybersecurity, Network Engineering, or a related field.
• Proven experience (3 to 5 years) in a cybersecurity and/or network engineering role, with a strong emphasis on solution sourcing, vendor management, and post deployment operational maintenance.
• Hands-on network administration experience is required, including configuration, maintenance, and troubleshooting of enterprise routers and switches
• Hands on experience with network devices (e.g., Cisco, Juniper, Fortinet, Palo Alto) and various security tools.
• Strong understanding of TCP/IP, routing protocols (BGP, ISIS, OSPF), VLANs, VPNs, and wireless technologies.
• Proficiency in configuring and managing firewalls, IDS/IPS, and other security appliances.
• Knowledge of common attack vectors, security vulnerabilities, and defensive strategies.
• Familiarity with scripting languages (e.g., Python, PowerShell) for automation and security tasks.
• Experience with operating systems (Windows, Linux, UNIX).
• Understanding of cryptography and secure communication protocols.
• Excellent analytical and problem solving skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non technical stakeholders, and effectively liaise with and manage external vendors.
• Ability to work independently and as part of a team in a fast paced environment.
• Detail oriented and highly organized.
• Proactive and eager to learn new technologies.

Certifications (Highly Valued):

• CompTIA Security+
• CompTIA CySA+
•  (ISC)² CISSP (Certified Information Systems Security Professional)
• Cisco CCNA, CCNP Security, or CCIE Security
• Certified Ethical Hacker (CEH)

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.

Summary

This is an applied AI research role. The researcher will design and build non-deterministic analytical tools — grounded in statistical modelling, predictive models, and machine learning — that work across structured and unstructured data. Another part of the role is developing AI agents powered by large language models (LLMs) that can reason over and orchestrate these tools to solve real analytical problems end to end. The researcher is expected to be rigorous with data, curious about intelligent systems, and motivated by seeing their work produce something that actually runs.

Responsibilities

Research & Analysis

• Work with structured datasets to identify patterns, trends, and statistically significant findings that inform research questions and business decisions.
• Apply and adapt predictive models (regression, classification, time series forecasting) and mathematical models to address defined research problems.
• Conduct exploratory data analysis (EDA) to assess data quality, distributions, and feature relevance prior to modelling.
• Design and run statistical experiments, including hypothesis testing, power analysis, and significance testing.
• Validate model performance using appropriate evaluation frameworks and communicate limitations honestly.

AI development

• Study and apply LLM-based agent frameworks to automate and orchestrate research workflows.
• Design and build AI agents that use LLMs as a reasoning engine, with data science models and pipelines exposed as callable tools.
• Integrate agent outputs with structured data — enabling agents to query databases, invoke predictive models, and interpret results.
• Evaluate agent performance: task completion, reasoning coherence, tool-use accuracy, hallucination rate, and failure handling.
• Stay current with the evolving agent landscape and share learnings with the team.

Technical development

• Write clean, well-documented Python code for data processing, feature engineering, model development, and result visualisation.
• Query and manipulate structured data from relational databases using SQL.
• Use core data science libraries including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, etc.
• Contribute to shared codebases, following team coding standards and version control practices (KLASS Gitlab).
• Assist in building reproducible data pipelines and experiment tracking workflows.

Collaboration & communication

• Work closely with senior researchers and principal researchers to scope, plan, and deliver project workstreams.
• Contribute to the quarterly and annual research reports, translating technical findings into clear, accessible language.
• Present findings to internal and client-side collaborators, including non-technical audiences.
• Participate in team research reviews, peer code reviews, and knowledge-sharing sessions.

Requirements

Education

• Master’s or PhD – Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or a closely related quantitative discipline. (Preferred)
• Bachelor’s Degree – In a relevant quantitative field, with demonstrable hands-on experience in data science (e.g. internships, research projects, competitions, or open-source contributions).
• Fresh Graduates – Encouraged to apply. We value strong fundamentals and intellectual curiosity over years of experience.

Technical skills — essential

• Python programming: proficiency with core data science libraries (Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn).
• Data wrangling: handling missing data, outlier detection, feature engineering, and normalisation on structured datasets.
• Mathematical foundations: linear algebra, calculus, and optimisation as applied to machine learning and statistical modelling.
• Working knowledge of modelling families: supervised, unsupervised, and generative models — see the dedicated modelling section below for full detail.

Personal Qualities

1. Research mindsetIntellectually curious across both quantitative and AI domainsRigorous and detail-oriented in analysis and documentationComfortable with ambiguity and iterative problem-solvingHonest about uncertainty — in models and in LLM outputs
2. Working styleClear communicator, written and verbalCollaborative team player in a research environmentSelf-directed with good time managementEager to learn and receive constructive feedback

Experience

0–2 years of professional or research experience

We define experience broadly. Relevant experience includes academic research projects, dissertations with a data science component, internships, industry placements, personal or open-source projects, Kaggle competitions, or research assistant roles. We are more interested in the quality of your analytical thinking than the number of years on your CV.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center sector. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Complete literature reviews and studies to explore existing and future control systems.
• Identify problems, future needs or market gaps to establish areas of further work.
• Design, model, and simulate advanced control algorithms for power converters, electric drives, and energy systems.
• Implement control software on embedded platforms (DSPs, MCUs, or FPGAs).
• Integrate real time diagnostics, fault detection and control loops with sensors, actuators and communication interfaces in real hardware to demonstrate feasibility.
• Write research reports, design guides, patents and performance reports.

Requirements:

• PhD or Master’s degree in Electrical / Electronic / Control Engineering or related field.
• Strong experience with control theory, digital control and signal processing.
• Understanding of common power electronic architectures (AC/DC, DC/AC, DC/DC, etc) and control methods.
• Knowledge of MATLAB/Simulink, embedded software (C/C++), architecture design and software version control.
• Solid understanding of microcontroller architectures, sensors, and communication protocols.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (MATLAB, Simulink, Python, LTspice, etc.)
• Strong analytical, problem-solving, and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.
• We welcome applicants at all experience levels, from recent graduates to seasoned professionals.

Why Join Us

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.