Total 123 job vacancies by A*star Research Entities

The Biomedical Data Hub (BDH) curates and maintains strategic deidentified health data cohorts and supports researchers and innovators with expertise in bioinformatics and A.I. Its mission is to act as a trusted research node that unlocks the value of digital health data to support cutting edge science and digital health solutions that will benefit Singapore and Singaporeans. BDH is a national initiative created by Singapore's Bioinformatics Institute and hosted by the Agency for Science Technology and Research (A*STAR) in partnership with Ministry of Health (MOH) Singapore and is funded by Singapore's National Research Foundation (NRF). 

Description:

As Senior Manager / Assistant Director - Partnerships and Product, you are responsible for shaping BDH's product and services offerings. Your ability to deeply understand user needs, both stated an unstated, and translate those into technical requirements are critical to your success. You also possess excellent judgement when it comes to prioritizing the product and services development pipeline. 

You are a systems thinker and excellent communicator who can strike a balance between speed and compliance. Your work will bring together users, developers, and operations teams.

Responsibilities:

• Maintain an up-to-date pipeline of data cohorts that could be supported by BDH by surveying local and overseas scientific and innovation activities
• Maintain and drive BDH product and development roadmap
• Map user journeys and workflows for entire data lifecycle and define standard processes for data on-boarding, management, analysis and off-boarding
• Create specifications for development and services teams to implement
• Create and maintain controlled forms and document templates
• Create and maintain standard toolset for BDH analytical environment

Requirements:

• Degree in Science, Biomedical Engineering, Business Administration or related field
• Strong people skills
• Detailed and process oriented
• Excellent written and spoken communication skills
• Basic financial and accounting literacy, including the ability to conduct benefit/cost analysis
• MS Office proficiency (esp. MS Excel and PowerPoint)
• Previous product management and/or services management experience a plus
• Working knowledge of data science / analytics software (e.g. R, Python) and related libraries 
• Previous experience in bioinformatics and/or data science strongly desired

Our team at A*STAR Skin Research Labs (A*STAR SRL) is committed to advancing next generation biophotonics technologies to tackle key national healthcare challenges. We offer access to cutting-edge biophotonics tools, collaboration with leading clinicians and industry partners, and opportunities for meaningful clinical and commercial translation.

https://www.a-star.edu.sg/asrl/principal-investigators/dinish-u-s

We are currently seeking a Research Officer to contribute to the development of cutting-edge optical spectroscopy device platform with innovative AI-analytics for skin health/Medtech applications and its clinical translation.

Job scope/responsibilities:

• Interface and integrate embedded systems, sensors, and hardware components with optical systems for experimental and prototype platforms.
• Design, develop, and maintain LabVIEW-based software for instrument control, data acquisition and GUI development.
• Development of optical hardware and systems for spectroscopy & imaging
• Develop AI models for data analytics
• Testing of developed spectroscopy system in phantoms
• Take part in clinical study in hospitals (data collection and analysis) for the translation of the developed systems
• Present study concepts, experimental results, new findings to the management team and the research team members

Job requirements:

• Bachelor’s or master’s degree in Electrical engineering, Electronics, Mechatronics, Biomedical Engineering, Optical Engineering or in related field with minimum 1-2 years of relevant work experience
• Proven experience with LabVIEW programming, hardware interfacing (DAQs, microcontrollers) and GUI development.
• Hands-on experience with embedded systems, electronic design/debugging, and optical system integration.
• Familiar with AI models and experience on AI algorithm development for image analysis
• Proficiency in Matlab, Python Solid works, Zemax, and ANSYS is highly beneficial
• Strong communication, writing, and presentation skills.
• Meticulous and highly organized
• Industry working experience is advantageous

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo’s laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases. Reference: www.adrianteolab.com; https://medicine.nus.edu.sg/bch/faculty/adrian-teo/.

Qualifications / Requirements:

· Excellent degree in Biological Science and Life Science disciplines or equivalent

· Deep commitment and interest in research, demonstrated from previous research experience

· Minimum 6 months prior research experience in the Biomedical field

· Experience with mammalian cell culture and molecular biology techniques

· Experience with animal work and surgical techniques

· Experience with mammalian stem cell work will be valued

· Excellent organizational and interpersonal skills

· Highly motivated, passion for science, committed to laboratory work and able to work flexible hours

· Ability to multitask, work independently and also as part of a team

· Excellent communication (verbal and written) and presentation skills

· Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued

Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of three referees to:

adrian_teo@a-star.edu.sg

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields with atleast 5 years of relevant experience.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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

The A*STAR High Containment Biosafety Level 3 (BSL-3) Facility supports research and diagnostic work involving Risk Group 3 pathogens such as mpox virus, avian influenza, and Mycobacterium tuberculosis.

We are looking for a motivated Biosafety Officer to support biosafety operations and contribute to Singapore’s pandemic preparedness efforts.

Key Responsibilities

Biosafety & Compliance

• Support the development and implementation of biosafety policies, SOPs, and guidelines
• Conduct routine inspections and audits to ensure compliance with biosafety requirements
• Monitor adherence to approved biosafety practices and follow up on any gaps

Regulatory & Facility Coordination

• Liaise with internal stakeholders and regulatory authorities on biosafety matters
• Support facility certification activities, inspections, and emergency preparedness exercises
• Assist in coordinating safety-related meetings and addressing user queries

Biorisk Management & Stakeholder Support

• Provide support to Institutional Biosafety Committee (IBC) activities, including coordination and documentation
• Advise and support facility users on biosafety requirements and approval processes
• Contribute to institutional biorisk management efforts

Biological Materials & Documentation

• Coordinate the movement (import/export) and inventory tracking of biological materials
• Maintain accurate records of biosafety activities, training, and incidents

Training & Operations Support

• Assist in developing and delivering biosafety training programmes
• Provide day-to-day operational and administrative support to ensure safe and efficient facility use

Requirements

• Bachelor’s degree in Life Sciences, Microbiology, Biotechnology, or a related field
• At least 2 years of experience in BSL-2 or BSL-3 laboratory environments

• Must be a qualified Biosafety Coordinator/Officer recognised by MOH.

• Familiarity with biosafety principles and regulatory requirements

• Experience in audits, inspections, or SOP development is an advantage
• Strong organisational, communication, and documentation skills
• Comfortable working in a high-containment laboratory environment and using required PPE

• Familiarity with ISO standards (e.g., ISO 35001, ISO 9001) or GLP
• Experience in molecular biology, cell culture, or laboratory animal work

Applications should include full curriculum vitae and the names, addresses and contact numbers of 3 professional references.

We are seeking a proactive and detail-oriented scientist to support antibody engineering and functional evaluation within our next-generation biologics immune engager platform. This role focuses on experimental execution, assay development and molecular prototyping, contributing to programs with strong translational and partnership potential.

Position Impact

These positions form part of the Antibody Technology core, driving institutional innovation in next-generation antibody and immune-engager platforms that underpin future co-development partnerships and spin-off opportunities. Successful candidates will play a vital role in transforming scientific concepts into translatable therapeutic asset.

Key Responsibilities

• Conduct molecular cloning, protein expression, purification, and analytical characterization of antibody immune-engager candidates.
  
• Perform and optimize cell-based functional assays to assess potency, signaling, and immune activation.
  
• Support mono-specific and multi-specific prototype generation, screening, and data collection to evaluate molecular performance and mechanism of action.
  
• Maintain accurate experimental records, perform quantitative analysis, and contribute to internal data reviews and reports.
  
• Collaborate closely with scientists and engineers across discovery, design, and assay teams to ensure quality and timely delivery of milestones.
  
• Uphold high laboratory and data standards, contributing to a rigorous and collaborative team environment.

Experience & Qualifications

• B.Sc. M.Sc. And PhD in Biological Sciences, Biochemistry, Immunology, or related field, with (minimum of 8 years Bsc, Msc 5 years, PhD, 3 years of relevant hands-on experience.
• Practical skills in molecular biology, mammalian cell culture, and immunoassays (ELISA, FACS, reporter, cytotoxicity).
• Experience with protein expression systems (transient or stable) and purification workflows preferred.
• Strong analytical mindset, attention to detail, and ability to troubleshoot experiments independently.
• Team player with good communication, adaptability, and eagerness to learn new technologies in a fast-paced translational research setting.
• Experience with automation systems, liquid-handling platforms, or high-throughput screening.
• Working knowledge of data analysis software (e.g., GraphPad, FlowJo, Python/R) for experimental interpretation.
• Familiarity with protein characterization techniques (SEC-MALS, BLI, SPR, HPLC).
• Understanding of immune-cell biology or cytokine signaling mechanisms.
• Strong initiative, reliability, and enthusiasm to contribute to high-impact discovery programs.
• Prior experience in computational modelling is an advantage.
  

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI Scientist strong applied AI skills ready to build large-scale systems, and you will contribute to innovations that make real impact in healthcare.

Key Responsibilities

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation model and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

What We Offer

• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, vision foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.
• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

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

The Polymer and Composite Processing Group invites applications for Research Scientist position to lead and conduct research in advanced polymer processing technologies, with a particular focus on polymer flow processing, sheet thermoforming and multi-material component manufacturing for industrial application and translation. The Scientist is required to support both industry and research projects where process innovation, material characterization and structural testing are needed.

JOB DESCRIPTION

• Develop research topics from the study of process-related issues, conduct root-cause-analysis of defects, failures and material behaviour, etc. so as to resolve manufacturing challenges through deep scientific understanding of materials and processes.
• Work with a multidisciplinary team of scientists and engineers to enhance the group"s capabilities in polymer component design and advanced manufacturing processes.
• Innovate solutions to enhance polymer processing technologies (e.g., thermoforming, extrusion compounding, injection moulding) with the aim of improving lightweight performance, reducing embodied carbon footprint for sustainable manufacturing.
• Drive technology foresight and explore emerging areas, including the development of AI-enabled process intelligence.
• Formulate scientific research proposals aligned with the organization’s mission and strategic workplan to secure new competitive funding.
• Prepare project proposals, technical presentations and reports for customers and stakeholders.
• Demonstrate strong domain knowledge in advanced manufacturing and be able to provide innovative solutions to industry problems.
• Deliver technology disclosures or patents of value to real applications in both industry and research projects.

JOB REQUIREMENTS

• Ph.D in Mechanical, Aerospace, Materials Science & Engineering or other relevant disciplines
• Possess in-depth expertise in polymer and composite processing, coupled with strong hands-on skills in equipment operation.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and scientific writing skills.
• Strong experimentalist equipped with some basic FE skills in process or structural simulation is preferred.
• Proficient in CAD and CAE tools, such as SolidWorks, with the ability to support both design and analysis tasks.
• Confident in engaging with customers and vendors, including managing project negotiations and technical discussions.
• Prior experience with aviation quality systems, regulatory requirements, product or process development will be advantageous.

About the Job

We are looking for motivated candidates to join a vibrant and collaborative team of scientists and engineers in the Advanced Manufacturing & Semiconductor Division (AMS) at the Institute of High Performance Computing (IHPC), A*STAR. The successful candidate will contribute to research and development in physics-based modelling and scientific machine learning for semiconductor packaging reliability and multiphysics systems. This research explores new computational paradigms that integrate finite-element modelling, multiphysics simulations, and machine learning techniques to enable predictive modelling and accelerated analysis of complex physical systems relevant to advanced semiconductor packaging technologies. These include thermo-mechanical reliability of electronic packages, stress evolution in heterogeneous material systems, interfacial failure mechanisms, and process–structure–property relationships in packaging materials and architectures. You will work on R&D projects spanning fundamental methodology development and application-driven research, with opportunities to collaborate with interdisciplinary teams and industrial partners in the semiconductor ecosystem.

The key scope of work includes

• Integrating finite-element simulations and physics-based models with machine learning approaches for predictive reliability analysis.
• Developing data-driven surrogate models and reduced-order models for thermo-mechanical behaviour in electronic packaging structures.
• Developing high throughput computational workflows that combine multiphysics simulations, data analytics, and machine learning techniques.
• Contributing to the development of AI-enabled predictive frameworks for semiconductor packaging reliability and performance.
• Publishing research outcomes in leading journals and conferences in computational mechanics, semiconductor packaging reliability, and scientific machine learning.
• Collaborating with internal research teams, industry partners, and affiliated institutes on interdisciplinary R&D projects.

Job Requirements

• PhD degree in Mechanical Engineering, Computational Mechanics, Applied Mathematics, Computational Physics, or related disciplines.
• Strong background in numerical simulation and multiphysics modelling, particularly finite-element modelling of thermo-mechanical processes.
• Experience in modelling mechanical and thermal behaviour of materials and structures.
• Experience in data-driven modelling or machine learning approaches for physical systems.
• Strong programming skills in Python, MATLAB, or FORTRAN, with experience in scientific computing environments.
• Experience with simulation tools such as ABAQUS, ANSYS, COMSOL, or other multiphysics simulation platforms is advantageous.
• Experience with high-performance computing or large-scale simulations is an advantage.
• Strong analytical and problem-solving skills, with the ability to work both independently and collaboratively.

We particularly welcome early-career researchers who are passionate about advancing AI-driven modelling and predictive simulation technologies for semiconductor packaging reliability and multiphysics engineering systems.

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Job Requirements:

• PhD in Physics, Engineering, Data Science, Geography, or related fields.
• Proficiency in Python or R with experience in geospatial and/or statistical packages.

Relevant research/project experience in either of these fields:

• Spatial analysis / Geospatial information system (GIS).
• Transportation and urban systems.
• Agent-based modelling / network analysis.
• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable.
• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus.
• Good written and verbal communication skills.
• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact.

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.

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Job Requirements:

• PhD in Physics, Engineering, Data Science, Geography, or related fields with at least 3 years of relevant experience.
• Proficiency in Python or R with experience in geospatial and/or statistical packages.

Relevant research/project experience in either of these fields:

• Spatial analysis / Geospatial information system (GIS).
• Transportation and urban systems.
• Agent-based modelling / network analysis.
• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable.
• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus.
• Good written and verbal communication skills.
• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact.

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.

About Us

At SIMTech Innovation Factory, we are a multidisciplinary design team driven to uncover opportunities and tackle challenges that others overlook. We harness A*STAR’s cutting-edge technologies to develop innovative, unconventional solutions that inspire. Through captivating visuals and compelling storytelling, we showcase the value of ASTAR technologies and foster wider industry adoption.

Our team serves as a creative bridge between A*STAR technologies and industry partners—translating complex science into intuitive, user-centered innovations that resonate with diverse stakeholders.

 Key Responsibilities

• Lead industrial design direction for R&D and industry projects, from early concept development through design freeze and production handover.
• Translate research outcomes, emerging technologies, and user insights into compelling product concepts and design strategies.
• Drive design excellence across form, usability, ergonomics, CMF (colour, material, finish), and overall user experience.
• Develop and validate design concepts using sketches, CAD models, renderings, and prototypes.
• Collaborate closely with mechanical, electrical, and manufacturing engineers to ensure design intent is successfully realized in production.
• Participate in design reviews to evaluate concepts for usability, manufacturability, cost, and feasibility, providing design guidance and trade-off decisions.
• Prepare high-quality visual presentations and design documentation to communicate design intent to internal teams, industry partners, and stakeholders.
• Support product industrialization activities by working with engineering teams on tooling reviews, pilot builds, and production feedback.
• Guide and mentor junior designers, fostering good design practices and design thinking within project teams.
• Contribute to the development of design methodologies, processes, and standards within the Innovation Factory.

 Requirements

• Degree in Industrial Design, Product Design, or a related discipline.
• 5+ years of professional experience in industrial design, preferably in R&D, advanced development, or product innovation settings.
• Demonstrated experience in designing real products that have been successfully launched to the market.
• Strong design portfolio showcasing concept development, user-centered design, and final production outcomes.
• Proficiency in design tools such as Sketching, 3D CAD (e.g. Rhino, SolidWorks, Creo), and rendering software (Keyshot).
• Solid understanding of materials, manufacturing processes, and production constraints—sufficient to collaborate effectively with engineering teams.
• Proven experience working closely with engineering, research, and manufacturing partners to translate design intent into manufacturable products.
• Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.
• Ability to lead design discussions, provide clear direction, and make informed design decisions within project constraints.
• Strong passion for innovation and applied design with real-world impact

Nice to Have:

• Experience working with industry partners, SMEs, or government-supported R&D programs.
• Exposure to sustainability, human-centered design, or design for manufacturability practices.
• Experience mentoring designers or leading small design teams.

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

Responsibilities:

• Design and develop mechanical components, tooling, fixtures, and experimental setups to support welding, joining, and additive manufacturing processes.
• Create 3D CAD models and detailed engineering drawings for mechanical assemblies, test rigs, and manufacturing equipment.
• Support the design, fabrication, and assembly of prototype systems and hardware modules for research and development projects.
• Evaluate and select appropriate materials, manufacturing methods, and fabrication processes for designed components.
• Conduct mechanical analysis and validation of designs, including structural, thermal, or vibration considerations where required.
• Support prototype build, testing, and troubleshooting of mechanical systems and experimental platforms.
• Collaborate with internal teams, suppliers, and manufacturing partners for component fabrication, procurement, and system integration.
• Contribute to the development and improvement of mechanical hardware and equipment used in robotic welding, joining, and additive manufacturing systems.
• Support the group's process development activities, including experimental trials, setup of test configurations, data collection, and evaluation of process performance.
• Participate in concept development, feasibility studies, and technology development projects related to advanced manufacturing processes.
• Prepare and maintain technical documentation, including design reports, engineering drawings, test procedures, and project documentation.
• Support equipment setup, maintenance, and continuous improvement of laboratory and manufacturing systems.
• Ensure compliance with safety procedures, risk assessments, and laboratory best practices.
• Support other technical activities within the team, group, or organisation as required.

JOB REQUIREMENT

Minimum Requirements (Must-have)

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, or a related discipline.
• Strong foundation in mechanical design and engineering fundamentals, including structural mechanics, material behavior, and manufacturing processes.
• Experience with mechanical CAD and 3D modelling tools (e.g., SolidWorks, Inventor, Creo, NX or equivalent) for design and engineering documentation.
• Experience in designing mechanical components, tooling, fixtures, or assemblies for manufacturing or experimental systems.
• Good understanding of manufacturing techniques and fabrication processes, such as CNC machining, metal fabrication, additive manufacturing, or prototyping methods.
• Experience preparing engineering drawings and technical documentation, including basic understanding of Geometric Dimensioning and Tolerancing (GD&T).
• Hands-on experience with prototyping, testing, and mechanical system troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work both independently and collaboratively in a multidisciplinary engineering environment.
• Strong written and verbal communication skills.
• Ability to work in a dynamic research and development environment and adapt to evolving project requirements.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.

SIMTech is looking for a motivated, innovative quick learner with excellent interpersonal skills to join the Remanufacturing Process Technology Group (RPT) - Intelligent Remanufacturing Process Team.  The successful candidate will have opportunities to participate in research and industry projects related to leveraging AI tools for knowldege extraction and structuring for downstream manufacturing processes planning. 

The following areas will be included and mentored by senior staff:

• To develop tools to extract critical engineering communication infomation and structure them, leveraging on AI tools.
• To coordinate and structure development of AI solutions for discrete component manufacturing. 
• To understand and assign manufacturing processes based on features detected on a component via various agents.
• To provide AI support for manufacturing process quality including DED, Machining and Joining. 
• To guide and mentor junior engineers and interns in the area of AI tool development in manufacturing.
• To bridge and improve digital workflows in engineering design with the aid of AI algorithms. 

JOB REQUIREMENT

• PhD in Mechanical or Manufacturing Engineering.
• Understands how to leverage AI tools to detect and extract critical infomation from 2D drawings for downstream automation.
• Understands the elements that constitute 3D CAD (.STEP, .STL, SLDPRT, etc.) files.
• Has deep knowledge and understanding of AI libararies and tools for feature recognition and information extraction.
• Is adapt with AI frameworks and agentic platform development. 
• Understands how to effectively develop models with minimal data requirements.
• Is able to intergrate manufacturing knowledge to automate manufacturing processes with context.
• Ability to work effectively and independently in a dynamic environment with cross-functional project teams.
• Able to critically think of solutions outside the box and communicate effectively.