Total 327 Senior Executive level Science / R&D / Research job vacancies

Job Description:
We are supporting an international research and innovation organization in identifying highly qualified professionals to contribute to advanced research and development initiatives in Artificial Intelligence and Pharmaceutical Sciences.

The selected candidate will participate in interdisciplinary projects involving technology innovation, applied research, and product development in collaboration with global research teams.

Candidates may have opportunities to participate in overseas research assignments and long-term project deployments depending on project requirements.

Key Responsibilities

• Conduct research and development in areas related to Artificial Intelligence technologies or Pharmaceutical Sciences
• Develop innovative solutions and contribute to technology commercialization initiatives
• Collaborate with cross-functional teams including engineers, scientists, and research partners
• Prepare technical documentation, research reports, and publications
• Participate in international research collaborations and innovation programs

Requirements

• Master’s degree or PhD in AI Technology or Pharmaceutical
• Strong research background or industry experience in relevant fields
• Ability to work in international and multicultural research environments
• Strong analytical and problem-solving skills

Choek Wei Qi Joel | R1877109
Recruit Lync Pte Ltd | 22C1000

Roles and responsibilities:

The Metals and Ceramic Forming Group is looking for an innovative and motivated Senior Research Engineer with experience in powder-bed inkjet and/or laser powder-bed fusion additive manufacturing (AM) processes to join our team. The candidate will be attached to the Additive Innovation Centre (AIC), hosted in SIMTech and supported by the National Additive Manufacturing Innovation Cluster (NAMIC), to bridge the R&D activities within the Group with the industry solutions sought by companies engaged under AIC.
This role offers opportunities to contribute to cutting-edge AM research, industry collaborations and technology development, with a strong focus on accelerating the adoption of AM towards pilot batch production and industrial deployment. As such, cross-sectorial industrial project experience will be highly advantageous.
There will be continual opportunities to grow and learn, as well as expand and improve the current set of skills through involvement, together with the team, in industry and competitively funded projects related to various AM technologies.

The roles and responsibiltiies include the following areas:

• Lead and deliver projects involving the development of AM process recipes for powder-bed inkjet, laser powder-bed fusion, and related industrial applications.
  • Operate additive manufacturing powder-bed printing systems and related post-processing equipment for end-to-end additive manufacturing solutions.
  • Perform metallic material testing, sample preparation, microstructural characterization and defect analysis for the fabricated parts.
  • Prepare technical reports and deliver project progress updates.
• Lead and manage project resources, lab operations, procurement, safety compliance and 5S housekeeping standards.
• Support outreach and knowledge sharing through seminars, training and industry events.

Job requirements:

• Bachelor"s Degree in Mechanical Engineering, Material Science, Materials Engineering or a related discipline.
• Minimum 3 years of experience in additive manufacturing.
• Experience with process parameters development and metallic material characterization.
• Proficiency in engineering CAD/CAM software such as SolidWorks, AutoCAD is preferred.
• Programming skills (e.g. Python, MATLAB, C++) are advantageous.
• Strong critical thinking, problem-solving, and hands-on technical abilities.
• Effective communication skills and ability to collaborate with team members and industry partners.
• Independent, resourceful and adaptable to a dynamic work environment.

JOB DESCRIPTION

• Project manage medium scale projects and/or programmes under the PMO project lifecycle framework - meeting project scope, schedule & cost requirements.
• Deep dive with technical/ research team to fine-tune needs, requirements, and expectations of industry partner.
• Facilitate good communication between the cross-functional team members and fosters teamwork.
• Manage and monitor project/ programme issues & mitigate risk.
• Manage and implement project/ programme changes and interventions to achieve project deliverables and mitigate risk.
• Track, monitor and report the progress of the project to all stakeholders and ensure effective communication with industry partner throughout the project life cycle.
• Deliver project outcomes in the defined scope, costs, quality, and timeline.

JOB REQUIREMENTS

• Bachelor in any Science & Engineering related disciplines.
• At least 3-year work experience in manufacturing roles within the aerospace & MRO / oil and gas / manufacturing industry.
• PMP certifications or equivalent will be advantageous.
• Good business acumen, able to identify business opportunity and interact with industry partners confidently.
• A team player who is motivated to solve technical challenges and deliver on time to customers.
• Willingness to learn and adapt to new technology promptly.
• Good communication and interpersonal skills.

Employment Type: 3-Year Contract
Join Date: 2027 / 2028 onwards
Location: China (specific placement based on expertise and project alignment)

About the Opportunity

We are partnering with leading research institutions and innovation platforms to identify high-caliber global talent in technology (AI) and pharmaceutical sciences. This initiative aims to attract outstanding researchers and professionals to contribute to cutting-edge innovation and scientific advancement.

Selected candidates will have the opportunity to work in a dynamic research environment, collaborate with leading experts, and contribute to impactful projects with strong institutional support.

Key Benefits

• Highly competitive annual remuneration package
• Housing allowance provided
• Family support including educational assistance
• Attractive yearly performance bonuses
• Access to advanced research facilities and resources
• Opportunity to collaborate with global research team

Eligibility Requirements

• Master’s Degree or PhD in Technology, AI, Pharmaceutical Sciences, or related disciplines
• Strong academic or industry background in AI, technology, biotech, or pharmaceutical research
• Proven research capability, innovation track record, or industry expertise
• Ability to contribute to high-impact research or technological development

Contract Details

• Duration: 3 years
• Start Date: From 2027 / 2028 onwards

Job Scope

Tech (AI) Track:

• Conduct AI and machine learning research and development projects
• Design, implement, and test innovative algorithms or software solutions
• Collaborate with cross-functional teams to translate research into applied technology

Pharmaceutical Track:

• Conduct laboratory or clinical research projects in drug development or biotech
• Analyze experimental data and contribute to research publications or regulatory submissions
• Collaborate with multidisciplinary teams to drive scientific innovation

Ideal Candidates

• Researchers, scientists, and technology professionals seeking to work on frontier innovation
• Individuals interested in contributing to large-scale research initiatives and global collaborations
• Candidates open to relocating to China for a multi-year research engagement

Application

Interested candidates are invited to submit their CV and academic background for consideration.

Dorothy Ooi Shi Hui (R1762852)
Recruit Lync Pte Ltd (22C1000)

JOB DESCRIPTION

• Project manage medium scale projects and/or programmes under the PMO project lifecycle framework - meeting project scope, schedule & cost requirements.
• Deep dive with technical/ research team to fine-tune needs, requirements, and expectations of industry partner.
• Facilitate good communication between the cross-functional team members and fosters teamwork
• Manage and monitor project/ programme issues & mitigate risk
• Manage and implement project/ programme changes and interventions to achieve project deliverables and mitigate risk
• Track, monitor and report the progress of the project to all stakeholders and ensure effective communication with industry partner throughout the project life cycle.
• Deliver project outcomes in the defined scope, costs, quality, and timeline

JOB REQUIREMENTS

• Bachelor in any Science & Engineering related disciplines.
• At least 3-year work experience in manufacturing roles within the aerospace & MRO / oil and gas / semiconductors / manufacturing industry.
• PMP certifications or equivalent will be advantageous.
• Good business acumen, able to identify business opportunity and interact with industry partners confidently.
• A team player who is motivated to solve technical challenges and deliver on time to customers.
• Willingness to learn and adapt to new technology promptly.
• Good communication and interpersonal skills.

Job Responsibilities:

• Responsible for performing professional process engineering research, development, and evaluation in support of the IME's variety of programs requirements such as semicondcutor wet cleaning and wet etch process.
• May conceive and plan projects involving definition and selection of new materials, concepts and approaches in the processing or development of new processes.
• Compiles and evaluates test data to determine appropriate limits and variables for process specifications.
• Championing engineering experiments for process characterization to drive for quality and yield improvement.
• Setup and collect the experimental data and generate reports for both internal and customer distribution.
• Design and complete DOE (Design of Experiments) evaluations to characterize process window for new requirements.
• Work closely with senior staff and process integrators to understand technology roadmaps, process capability requirements and business issues/ challenges.
• Act as a resource for colleagues with less experience; lead small projects with manageable risks.
• Act as subject matter wet etch expert for both internal and external stockholders.
• Accelerate parallel process development capability to meet aggressive project timelines and supporting faster innovation cycles.
• Build a sustainable talent pipeline across both research and engineering levels.

Job Requirements:

• PhD in chemistry, Chemical engineering with 3+ years of relevant work experience in semiconductor process engineering; or
• Master's degree with 5+ years of relevant work experience in semiconductor process engineering.
• Prior experience in wet etch/ wet clean processes is preferred.
• A safety mindset is the most prerequisite for this position.
• Hands-on experience in designing and executing experiments (DOE), statistical and cause analysis, and problem-solving methods.
• Possess good interpersonal and communication skills.

Job Description: Scientist/Senior Scientist – Process Integrator / Hybrid Bonding/ Heterogeneous Integration

The Heterogeneous Integration Department at the Institute of Microelectronics (IME) is seeking a passionate and skilled Scientist/Senior Scientist to join our team. This role is pivotal in advancing state-of-the-art chip-to-wafer and wafer-to-wafer hybrid bonding processes, developing cutting-edge fabrication techniques for 2.5D and 3D packaging applications, and conducting electrical and reliability characterisation. The position provides an exciting opportunity to contribute to groundbreaking technologies and collaborate with a dynamic team of researchers and external stakeholders.

Key Responsibilities

• Collaborate with senior staff, process integrators, and external partners to address technology roadmaps, process capability requirements, and business challenges.
• Lead high-impact projects with manageable risks and mentor less experienced colleagues.
• Conceive and plan projects involving new materials, advanced process integration approaches, and innovative concepts.
• Research and develop advanced packaging technology such as flip-chip & hybrid bonding techniques for 2.5D and 3D IC applications.
• Investigate and refine wafer bonding processes for interposer fabrication, inter-dielectric gap fill, and alignment accuracy, addressing critical factors such as warpage, bonding strength, and yield.
• Optimise die bonding processes, including the selection of low-temperature organic and inorganic bonding materials, surface preparation, and bonding methods.
• Conduct engineering experiments for process characterisation to drive quality and yield improvements.
• Perform reliability characterisation of hybrid-bonded packages to ensure robustness and long-term performance.
• Act as a subject matter expert (SME) for both internal and external stakeholders, providing guidance and expertise.
• Inspire and mentor talent in semiconductor technology, contributing to workforce development in the field.
• Work with minimal supervision and should be a team player.

Qualifications and Skills

Candidates should meet the following criteria:

• Educational Background: PhD in Materials Science and Engineering, Mechanical or Chemical Engineering, Electronics, Electrical and Computer Engineering, or a related field.
• Experience: 0 to 5 years of experience in microelectronic devices, circuits, and hybrid component integration, 2.5D/3D heterogeneous integration applications.
• Technical Expertise: knowledge in hybrid bonding or flip chip bonding is plus.
• Knowledge: Strong knowledge of hybrid bonding equipment technologies and bonding materials and methodologies, and reliability characterisation is preferable.
• Skills: Strong analytical and problem-solving skills. Proficiency in data analysis and interpretation and design of experiments.
• Excellent written and verbal communication abilities.
• Teamwork: Ability to work collaboratively in a research-oriented environment (OEMs, customers, and Internal stakeholders). Demonstrated ability to manage multiple tasks and projects simultaneously.
• Demonstrated expertise in heterogeneous integration, hybrid bonding, and advanced packaging processes.
• Proven ability to troubleshoot and resolve process-related challenges.
  

For further inquiries or additional information, please contact our HR personal. We look forward to receiving your application and exploring the potential for you to join our innovative team.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Team blurb:

The GTM Data Science team operationalizes data and insights for LinkedIn’s go‑to‑market impact across Marketing, Sales, Pricing and Finance. We partner closely on multiple revenue generating initiatives. We also measure platform growth through rigorous metrics, experimentation, and enabling advanced data solutions. We organize and harmonize data at scale by building highly reliable, semantically rich data pipelines enabling data-driven decision making across the organization.

Responsibilities:

• Partner with product managers and go-to-market (GTM) teams to set up experimentation, support A/B testing, and experimentation readouts.
• Build data expertise, act as an owner for the company, and manage complex data systems for a product or group of products.
• Perform all necessary data transformations to serve products that empower data-driven decision making.
• Build and manage data pipelines, design and architect databases.
• Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
• Ensure best practices and standards in the data ecosystem are shared across teams.
• Understand analytical objectives to make logical recommendations and drive informed actions.
• Be a self-starter; initiate and drive projects to completion with minimal guidance.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.

Warehouse Operations

• Oversee daily warehouse operations including receiving, storage, picking, packing, and dispatch of goods.

• Ensure proper handling and storage of food products in compliance with food safety and hygiene standards.

• Maintain an organized warehouse environment to improve efficiency and safety.
  

Inventory Management

• Maintain accurate inventory records in Microsoft Dynamics NAV (ERP system).

• Perform regular stock counts, cycle counts, and inventory reconciliation.

• Investigate and resolve inventory discrepancies.

• Monitor stock levels and highlight potential shortages or overstock situations.

Receiving & Dispatch

• Verify incoming deliveries against Purchase Orders and Delivery Orders.

• Ensure proper Goods Receipt Note (GRN) processing in NAV.

• Prepare and coordinate outgoing orders for outlets or customers.

• Ensure timely and accurate fulfilment of outlet replenishment orders.
  

  System & Documentation

  • Update inventory transactions in NAV including stock transfers, adjustments, and GRN.

  • Maintain proper documentation for warehouse transactions and audits.

  • Work closely with procurement and finance teams on stock reconciliation.

  Coordination & Support

  • Coordinate with procurement, operations, and logistics teams to ensure smooth supply flow.

  • Support stock planning for promotions, campaigns, and festive periods.

  • Assist with supplier returns, claims, and damaged goods management.

  Compliance & Safety

  • Ensure compliance with food safety regulations and warehouse SOPs.

  • Maintain cleanliness and proper storage conditions within the warehouse.

  • Follow workplace safety guidelines for material handling.

  Requirements

  • Comfortable handling warehouse documentation and system transactions.

  • Able to carry heavy goods when required.

  • Proficient in Excel and basic computer systems.

  Key Competency

  • Inventory control & stock accuracy

  • ERP / NAV system knowledge

  • Warehouse operations management

• Meet daily output targets.
• To perform any ad hoc task as instructed by superior.

Requirements / Skills:

• Willing to work overtime if required.
• Able to work independently and as a team
• Able to drive forklift will be an added advantage
• Accommodations will be provided.
• Overtime with extra pay will be provided.
• Working hours Monday- Friday 8am – 6pm with 1 hour lunch break between 1pm-2pm. Saturday 8am – 1pm.

About Gain City

At Gain City, we deliver expertise and quality solutions in air-conditioning, home appliances and consumer electronics. Established in 1981, Gain City is a trusted household name in Singapore. We take pride in our strong customer focus, innovative spirit, and commitment to service excellence. With a dynamic workforce and a network of stores and service centres island wide, we offer a vibrant and growth-oriented environment where employees are empowered to thrive, take ownership and make a real impact.

About the Role

We are seeking pro-active and driven Human Resources (HR) Executives to join our growing team. Specifically, you will play a vital role in supporting the learning & development (L&D) function and operation. You will work with the business units to identify skill gaps and training needs, as well as source for and manage external training providers and internal learning resources in handling organisation’s learning and development needs.

This is a people-oriented role ideal for someone who thrives in a fast-paced environment and is passionate about building a positive workplace culture. You will work closely with various departments to ensure smooth operations across the group of companies and contribute to initiatives that enhance employee satisfaction and organisational effectiveness.

Key Responsibilities

• Identify skills gaps and training needs through analysis, evaluations, and employee feedback.

• Partner with Heads of Departments and management to support the organisation’s Learning & Development initiatives.

• Source, coordinate, and manage external training providers and internal learning resources.

• Maintain accurate project documentation and ensure compliance with ISO standards (ISO 9001, ISO 45001, ISO 14001).

• Prepare and manage non‑compliance reports.

• Oversee vendor and contractor management for training-related matters.

• Maintain effective administrative processes for tracking, recording, and filing all training documents.

• Build and manage partnerships with external organisations and government agencies for initiatives, funding, grants, and sponsorships.

• Coordinate internship programmes with educational institutions.

• Manage government grant applications and related documentation.

• Serve as the team lead for CSR event planning and coordination.

Qualifications and Requirements

• Bachelor’s degree in human resource management or a related discipline

• Minimum of 1 year of experience in Human Resources

• Able to interact confidently with business units and external parties

Research Assistant/Associate (Urban Psychology Lab)

The Lee Kuan Yew Centre for Innovative Cities at the Singapore University of Technology and Design is seeking a full-time Research Assistant/Associate, to join a growing research team dedicated to understanding human behavior in cities.

Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles critical questions about how cities shape people’s behaviors and, in turn, how cities should be designed to better serve their inhabitants. Upcoming projects in the lab include the study of public perception and behaviours in public spaces, nature-connectedness and health in cities, and mobility and health in cities.

Candidates should possess a strong interest in applying a human lens to transdisciplinary and collaborative research. Expertise in quantitative research methods, experience working with Virtual Reality, physiological and/or neurological measures, and a background in applied social and/or behavioral science will be a plus.

The candidate will be expected to:

• Conduct and write systematic literature reviews and meta-analyses
• Coordinate and participate in fieldwork and data collection
• Conduct quantitative and/or qualitative data analyses
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders

Skills and qualifications required:

• Bachelors or postgraduate degree (MA, MSc or equivalent) related to the social sciences or behavioural sciences (e.g., Psychology, Behavioral Economics, Urban Studies, or related disciplines)
• Demonstrable skills in quantitative and/or qualitative data collection and analysis
• Excellent written and verbal communication skills
• Strong organizational and data management skills
• Proficiency with statistical software (e.g., R, STATA, SPSS, MPlus) is a plus
  

We regret that only shortlisted candidates will be notified. Applications will be reviewed and will continue until the position is filled.

Job Description: 
The successful candidate will contribute to cutting-edge research and development in multimodal, multilingual large language models. This role involves implementing advanced deep learning algorithms, exploring innovative techniques to improve training and inference efficiency, and proposing novel architectures for next-generation multimodal foundation models.

The candidate will also help translate research breakthroughs into real-world applications, working collaboratively with a multidisciplinary team on problem analysis, solution design, and rigorous evaluation. They will be expected to drive experiments that achieve state-of-the-art performance across diverse benchmarks.

We are seeking individuals with strong problem-solving abilities, solid software engineering and coding skills, and excellent communication skills. A passion for research and a desire to push the boundaries of AI technology are essential.

Job Requirement:

  - PhD in ML, NLP, speech and spoken language processing and multi-modal AI 
- At least 5 years of experience
  - Proficient programming skills, familiarity with Linux is a must
  - Familiar with different deep learning and LLM training frameworks
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description: The candidate will participate in the research and development of multimodal multilingual large language model, implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of multimodal foundation model. He/She will need to translate and adapt the model to real-world problem and is expected to work as a team in problem analysis design solutioning, conduct evaluation to achieve stat-of-the-art performances for different benchmark. Strong problem solving, coding and communications skills are expected.

 Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 3 years of experience
  - Proficient programming skills, familiarity with Linux
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

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.

Advanced Remanufacturing and Technology Centre (ARTC) is an industry-led Centre by the Agency for Science, Technology and Research (A*STAR) in collaboration with Nanyang Technological University (NTU). Based on a contemporary business model of public-private partnership, the Centre transforms remanufacturing and manufacturing research into industry ready solutions for cross-sectoral industry members by bringing together best-in-class global companies and R&D minds in Singapore. Currently, the ARTC works with over 100 industry members to develop advanced remanufacturing and manufacturing capabilities. The members are comprised of global MNCs, leading equipment and software providers as well as SMEs.

We are seeking an innovative and technically skilled engineer to join our team, specializing in advanced welding, especially for electron beam welding. Advanced welding is one of the key technologies for ARTC, and mainly include electron beam welding, robotic arc welding, laser welding, vacuum brazing and diffusion bonding. We are looking for the right talent with the passion and drive to join us.

JOB DESCRIPTION

 We are seeking an experienced engineer familiar with advanced joining processes, especially electron beam welding to join the Advanced E-beam and Arc Joining team. The successful candidate will play a key role in developing electron beam welding processes, novel process monitoring, rigorous WPS, and implementation of solutions for different industrial applications.

Responsibilities:

·         Develop complete electron beam welding solution, including required fixture, joint design, programs, process parameters, welding strategies and pre & post-processing for manufacturing & remanufacturing applications.

·         Develop WPS or WPQR through process optimization using DOE method for mainly semiconductor, energy and aerospace industries.

·         Perform weld performance evaluation, including analysis of defects, microstructure and mechanical properties, and the necessary sample preparation and failure mode analysis.

·         Operate electron beam systems for welding and additive manufacturing processes to support R&D and industry projects.

·         Develop, design and integrate hardware & software for process monitoring & control solution in vacuum chamber.

·         Develop customized CAD/CAM modules for advanced toolpath planning in electron beam welding.

·         Equipment and process owner for electron beam welding, ensure equipment and operators compliance, develop / maintain standard operating procedures, risk assessments and safe working procedures, provide guidance / training as required

·         Other ad-hoc relevant work for the team and A*STAR with possible secondary roles

JOB REQUIREMENTS

Minimum Requirements (Must-have)

·         Minimum bachelor's degree qualification in welding, metallurgy, manufacturing process, mechanical engineering, or an equivalent engineering degree.

·         Minimum 5 years' experience with electron beam welding and brazing in aerospace, energy, semiconductor industry.

·         Good understanding of welding principles, metallurgy and interaction of material with high-energy beam (i.e., electron beam or laser beam).

·         Strong analytical and problem-solving skills to tackle critical R&D challenges (i.e., welding of casted Inconel alloys, deep penetration welding Al6000 aluminium alloys).

·         Good communication and team working skills to collaborate with different stakeholders (customer, project manager, tech-biz, technical teams).

·         Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders

·         Strong electron beam welding knowledge and demonstrated ability to learn may also be considered.

·         Fluent with good written, spoken and comprehension skills

Preferred Skills and Experience (Good-to-have)

·         Master's degree in welding engineering, manufacturing automation or related technical program

·         Familiar with industry standards related to electron beam welding (ISO 15609-3, 13919-2, AMS 2680, AMS 2681, AWS D17.1, ASME Section IX)

·         Hands on experience in other joining processes such as vacuum brazing, diffusion bonding, PSP.

·         Experience with CAD/CAM software for tooling/fixture design and toolpath generation.

·         Experience on programming of multiple-axis system (CNC / Robot) for automated welding solutions.

·         Experience in technical presentations and preparation of research proposals, WPS / WPQR, patent application, project report & welding training courses.

·         Experience with root cause analysis and corrective actions including, but not limited to, optical and SEM fractography/metallography, hardness, chemical analysis, and mechanical testing

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

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

  Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 2 years of experience
  - Proficient programming skills, familiarity with Linux
  - Familiar with LLM training framework
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

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.