Key Responsibilities:

• Prepare and organize laboratory materials, reagents, and samples for experiments.
• Assist in the setup and operation of lab equipment such as precision milling machine, laser cutting machine and 3D printing machine.
• Set up and calibrate laboratory equipment and instruments.
• Conduct routine maintenance and cleaning of laboratory equipment.
• Monitor inventory levels of laboratory supplies and place orders for replenishment when necessary.
• Assist scientists and engineers in research projects and training courses, contributing to experiments and investigations.
• Collect, record, and analyse experimental data using laboratory techniques and instrumentation.
• Prepare and maintain detailed records of experimental procedures, observations, and results.

Qualifications and Skills:

• Certificate or diploma relevant to Computer Numerical Controlled (CNC)
• Previous experience working in a laboratory setting, preferably in a research or academic environment.
• Familiarity with laboratory equipment and instrumentation such as milling machine and microscopes.

We value the following soft skills:

• Strong attention to detail and accuracy in performing laboratory tasks and recording data.
• Strong organizational skills and the ability to multitask effectively in a fast-paced environment.
• Good communication skills and the ability to work collaboratively in a team-oriented setting.
• Knowledge of laboratory safety protocols and procedures.

Job Responsibilities

• Support Project Manager on project documentation, system entries and ensuring compliance to project management process and best practices.
• Lead and maintain project management systems and tools
• Ensure compliance of project information and documentation in grant and project management systems.
• Consolidate and analyze project data and create project dashboards and reports
• Track and monitor project health
• Support other operational activities of the Project Management Office as required
• Responsible for managing the life cycle R&D projects and product delivery by planning, organizing, executing, and evaluating from conception to completion
• Ensure successful delivery of project scope and targets while managing project risk, quality, delivery, scope, schedule, and budget.
• Collaborate and motivate project team members in the design, development, and delivery of R&D solutions to customers.
• Drive design / process validation testing and ensure compliance to project lifecycle governance requirements
• Ability to demonstrate a good level of understanding of technical/engineering processes in managing the project development with the project teams
• Lead, monitor and report the progress of a few projects to all internal and external stakeholders.
• Manage and implement project changes and interventions to achieve project deliverables and mitigate risk.

Job Requirements

• Min. Diploma in Engineering or equivalent qualification
• Have some knowledge in project management
• Proficient in Microsoft Office, especially Microsoft excel and Microsoft Word and PowerPoint for presentation of information in a logical approach
• Ability to thrive within a fast-paced environment
• Able to work independently and as a team

Job Description:

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

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.

We are seeking a highly skilled and experienced Principal Scientist with a strong background in Computer Science or Mathematics to lead our efforts in the research and development of Privacy Enhancing Technologies (PETs). The ideal candidate will specialize in areas such as Multi-Party Computation (MPC) and Homomorphic Encryption (HE), with a proven track record of high-impact work in these fields. This role involves creating proofs of concept (PoCs) or software at higher Technology Readiness Levels (TRLs), developing new algorithms, and leading R&D teams to push the boundaries of what is possible with PETs.

Key Responsibilities:

• Research and Development: Lead innovative research projects to develop new algorithms that enhance the efficiency, security, and applicability of PETs like MPC and HE.
• Proof of Concept Creation: Design and develop advanced PoCs or TRL software that demonstrate the practical application and effectiveness of newly developed algorithms. This includes application of PETs in various domains like healthcare, finance, manufacturing, transport, etc.
• Team Leadership: Direct and mentor a team of research scientists and engineers, fostering a collaborative environment that encourages innovation and rigorous scientific evaluation.
• Collaboration and Networking: Engage with the broader scientific community to keep abreast of latest developments, share findings, and collaborate on cutting-edge projects.
• Publication and Dissemination: Author influential research papers for top-tier journals and conferences, and present findings at international forums to establish and maintain leadership in the field.
• Strategic Planning: Contribute to the strategic planning of the data security group by aligning R&D activities with long-term organizational goals.

Qualifications:

• Education: PhD in Computer Science, Mathematics, or a closely related field.
• At least 8 years of experience
• Experience: Extensive experience in Privacy Enhancing Technologies, particularly Multi-Party Computation, Homomorphic Encryption, Confidential Computing, or other PETs.
• Leadership: Proven ability to lead and manage R&D teams in a high-tech environment.
• Publications: A strong publication record in peer-reviewed journals and conferences, demonstrating significant contributions to the field of cybersecurity and PETs.
• Skills: Exceptional analytical and problem-solving skills, proficient in algorithm design, and adept at programming in languages suitable for scientific computing and cybersecurity applications.

Desired Attributes:

• Innovative thinker with the ability to challenge conventional approaches and pursue new methodologies.
• Excellent communication skills, capable of conveying complex technical details to diverse audiences.
• Strong organizational skills, with the ability to manage multiple projects simultaneously and meet deadlines.

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 a qualified individual to be involved in the below project. The candidate will work with a dynamic team to identify and validate candidates that address the body’s adaptive responses to weight loss.

TaRgeted Analysis of Novel Secreted Factors for Obesity Reduction and Metabolic Health (TRANSFORM)

Description:

Multi-omic analysis of secreted factors from various datasets was carried out, including human, mouse and primate plasma and metabolic tissues to identify novel primate-specific secreted factors critically involved in the regulation of physiology balance. Integrative data analysis and in silico rank scoring revealed a list of promising secreted factor candidates. We will be using model organisms (e.g. mice, zebrafish) to conduct phenotypic screens and prioritize candidates for detailed validation, characterization, mode-of-action studies and therapeutic strategies.

Job responsibilities:

● Conduct in vitro wet lab experiments for identified candidates (e.g. cell culture, molecular biology and assays, protein chemistry, pharmacological efficacy etc)

● Conduct in vivo screening experiments for prioritized candidates (e.g. in preclinical models of obesity)

● Conduct end-point and mechanistic experiments (e.g. target tissue and blood collection, sample preparation etc)

● Analyze collected data and maintain accurate monitoring and reporting of experimental set-up, results and research findings

● Interact and collaborate with and assist other researchers and collaborators on related projects

● Communicate regularly with supervisor and join discussions with Principal Investigator and rest of the lab to discuss scientific progress and direction

● Assist in the preparation of grant applications and grant process reports

● Present findings both orally and in written form via presentations and publication in peer-reviewed journal

● Assist in the preparation of figures and manuscripts on the research projects for publication in peer-reviewed journals

● Contribute to other program-related projects and organizations and with the general scientific community across A*STAR

Job Description

A scientist or senior scientist position is available at the Functional Proteomics Laboratory for setting up, developing methods and performing targeted and untargeted metabolomics experiments. You will work on mass spectrometry-based identification of small molecule binders of RNA and small molecule metabolomics projects.

• Develop and run standardized protocols for untargeted metabolomics (or targeted metabolomics panels) for small molecule analysis.
• Design workflows and optimize analytical methods for performing targeted/untargeted metabolomics experiments for different sample mediums (Plasma/Urine/Tissue).
• Work with different collaborators and lead projects for small molecule metabolomics analysis on various sample types.
• Conceptualise, design and develop metabolomics assays for quantification of small molecules.
• Write and present research findings for conferences and publications.
• Contribute to project management, provision of guidance to junior researchers, including research officers.

Job Requirements

• Ph.D. degree in Molecular Biology, Biochemistry, Chemical Biology, Analytical Chemistry or a related discipline.
• Strong expertise in small molecule mass spectrometry metabolomics (preferred untargeted small molecule metabolomics expertise) with good publication record.
• Experience with liquid chromatography and mass spectrometry instrumentation, sample preparation techniques, data acquisition and interpretation.
• At least 2 years working experience in the field of metabolomics will be preferred.
• Proficiency in data processing, data analysis and interpretation will be advantageous.
• Responsible, organized, able to work independently and with a team.
• Good communication skills for scientific presentation and scientific writing.
• Optional: Prior experience with R or other data analysis tools

Purpose of Job

This position is responsible for the tactical planning and lead the development of facilities / asset management strategy in support of the workspace (research and office) needs.

Central to it is to formulate master plan of space needs, infrastructure renewal, build development, market and financial analysis strategies, conceptualize and engage stakeholders and users to co-develop a workplace which is financially and environmentally sustainable.

Oversee all space projects in accordance with the approved scope, quality, budget and schedule, and a seamless transition into daily operations.

Key Accountabilities:

Strategic Planning: Develop long-term space plans and utilization strategies for portfolio of A*STAR’s space, considering factors such as research needs, future growth projections.

Development and Project Management: Lead strategic new construction and remodelling activities in accordance with the A*STAR long-term space plans and ensure excellent financial, quality and schedule outcomes. Responsible includes quality assurance and safety inspections and efficient response to work delays, emergencies and other project disruptions.

Lead the consolidation and harmonization of the different space users’ requirements and conduct technical feasibility analysis for all space projects to facilitate decision-making. Support the overall budget request process and required procurement process. Lead the construction project within the define scope, quality, budget and schedule.

Responsible to consolidate and validate all actual design specifications with the planning team and equipment manuals with the FM team as part handover. Provide support to the FM team at the initial stage of operations and DLP.

Compliance and Regulations: Ensure that all space planning initiatives comply with building codes, regulations, and industry standards across different locations. Conduct detailed assessments of multiple sites owned by A*STAR, understanding the layout, structural nuances, and potential for optimization across various locations.

Stakeholder Management & Implementation: Collaborate with facility team, and stakeholders/ users at each site to understand specific needs, align on objectives, and ensure smooth implementation of space plans.

Enable to lead technical negotiations with landlord representatives for most favourable infrastructure provision that is no lesser than market average.

Space Standardization: Develop and implement standardized space plans or design guidelines across multiple sites to ensure consistency in space norms and functionality while accommodating specific building requirements.

Optimization & Cost Management: Identify opportunities to optimize space, reduce inefficiencies, and improve overall space utilization across multiple properties. Balancing design improvements or renovations with cost-effectiveness, ensuring that space planning initiatives align with the budgetary considerations.

Value-engineering: Identify opportunities to introduce new technologies to increase equipment efficiencies aim to reduce initial investments or maintenance cost. Balancing future design requirements while ensuring that space planning initiatives align with the budgetary considerations.

Performance Evaluation: Track and evaluate the performance of implemented space plans, gathering feedback, and adjust continuously improve space utilization and yet meet research needs.

Job Requirements:

· Possess at least 15 years or more of relevant experience in either construction management and / or asset portfolio management related fields

· Background in Civil or Mechanical Engineering, prefered Registered Professional Engineer and not a prerequisite with at least 7 years of experience in managing Biosafety Level Laboratory (R&D) space planning and development.

· Knowledge of construction methods and technologies and ability to interpret technical drawings and contracts

· Knowledge of local building-code and construction process

· Ability to manage multiple projects simultaneously

· Able to work under pressure and adapt to changes within a fast-paced environment.

· A self-driven and meticulous individual who has the strong ability to multi-task.

At EDDC, Singapore’s national platform for drug discovery and development, we are committed to discover and develop novel therapeutics by working collaboratively with both public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology and autoimmune diseases. EDDC is now seeking a highly skilled and motivated Bioinformatics Scientist to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, achieving wholistic understanding of human disease biology and pathology. By joining EDDC, the candidate will be part of a dynamic, interdisciplinary team geared to enhance and facilitate the drug discovery journey through data harmonization and deconvolution, multimodal data analytics, and advanced machine learning. The role will also leverage strategic partnerships both locally and globally, to adopt a flexible approach in refining and advancing EDDC’s solutions.

Responsibilities:

Multimodal data analytics for target, biomarker discovery and MoA elucidation

• Develop and implement computational strategies for integrated analysis across diverse biological datasets, including but not limited to genetics/genomics, transcriptomics (bulk- and single-cell RNAseq) and proteomics data.
• Employ state-of-the-art machine learning and AI techniques to uncover patterns in extensive biological datasets, developing predictive models that inform therapeutic strategies.
• Collaborate with cross-functional colleagues to drive the data-driven discovery and prioritization of novel therapeutic targets and clinically relevant biomarkers, integrating advanced analytics to elucidate the molecular mechanisms of action.

Data Integration and automation

• Evaluate and harmonize multi-dimensional data to ensure data quality and consistency.
• Architect and manage databases for cross-functional biological data from public and proprietary sources.
• Optimise and automate workflows when applicable, streamline data access for researchers to facilitate high-throughput analysis and collaborative research efforts.

Collaborative Research and strategic partnerships

• Work closely with experimental biologists, chemists, and other computational biologists to design experiments, analyse results, and communicate findings in scientific reports and presentations.
• Establish and maintain partnerships with leading computational biology, data science, and AI entities both locally and globally, serving as the computational biology liaison to ensure effective communication and alignment of objectives between external partners and EDDC’s internal project teams.

Innovation and Continuous Learning

• Stay abreast of the latest developments in bioinformatics, data science, machine learning, and AI as they pertain to drug discovery and development.
• Implement new technologies and methodologies to refine in-house workflows and enhance EDDC’s computational platforms.

Job Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 5 years of postdoc experience or equivalent in industry settings.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk and single-cell transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in software engineering and programming languages such as Python and R, and familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

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.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmwave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to lead our Technology-Business Development (Tech-Biz) department. You will be responsible for leading the department to define and implement our strategies for technology-business development, account management, sales and marketing, and ecosystem development. If you"re excited about the future of microelectronics and wish to contribute to the development of Singapore’s innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Technology-business Development: Lead the department to define and develop strategies for technology translation.
• Customer Relationship Management: Lead the department to win and retain industry partners and customers for high-value and sustainable engagements.
• Sales: Collect, maximise leads and close customer collaboration projects.
• Marketing: Develop and execute marketing strategies to promote IME’s research capabilities to the industry. Represent IME at international conferences and exhibitions.
• Collaborate with Technology Development (TD) Teams: Partner with our "Technology Development" teams to craft robust value propositions for the industry and shape IME’s ‘go-to-market’ strategy. Detect, track and provide market trends and needs for the TD teams.
• Ecosystem Development: Liaise, coordinate and engage effectively with key internal stakeholders, including A*STAR’s Industry and Enterprise Group, other economic agencies and public sector agencies, to align efforts and achieve common goals for the Singapore semiconductor ecosystem.

Job Requirements:

• Degree in Science or Engineering.
• At least 10-15 years of relevant work experience.
• Able to structure and negotiate collaboration agreements.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Strong analytical skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor industry.

Roles & Responsibilities:

• Oversee and lead the E-test and characterizations team in the comprehensive characterizations and analysis of power devices to validate design and process changes.
• Established capabilities for high voltage (1.2KV to 10KV) and high current (20A to 500A) DC, AC, and SOA reliability characterizations for both wafer-level and package-level devices.
• Develop custom test-bench setups and test-fixtures as required for high voltage power electronic devices.
• Provide technical guidance and mentorships to junior engineers and team members. Develop programs in LabVIEW, Excel, and Python to control various instruments, including wafer probers, double pulse testers, oscilloscopes, and source meters.
• Create programs in Excel and Python to manage extensive databases and automate the plotting of test data with the extraction of corresponding parameters.
• Conduct DC and dynamic characteristic measurements of SiC MOSFETs, diodes, IGBTs, and other power devices.
• Perform MOSCAP measurements at various temperatures for both wafer and package levels.
• Prepare and present technical reports, documentation, and presentations to internal and external stakeholders.
• Review and troubleshoot power application boards and modules.
• Assist with failure analysis to identify the root cause of test reliability issues.
• Manage multiple projects simultaneously while collaborating with various customers.
• Work collaboratively with scientists, engineers, and technicians to enhance measurement and analysis methods.

Job Requirements:

• Ms/PhD Degree in Electrical Engineering or related field
• >12 years industrial/Research experience in power deviced and power module.
• Ability to review and troubleshoot power application boards and modules.
• Demonstrates strong understanding of devices physics and data analysis skills.
• Possesses knowledge of DC and dynamic characteristics of high-voltage devices, including SiC MOSFETs, diodes, and IGBTs.
• Has extensive experience in high-voltage measurements for wafer-level and package devices.
• Demonstrates knowledge and experience in the safe handling of high-voltage devices.
• Possesses knowledge of double pulse testers and the characteristics of SiC MOSFETs, diodes, and IGBTs.
• Has hands-on experience in semiconductor manufacturing and probing, with familiarity in GPIB, RS-232, DAQ, and other interfaces.
• Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
• Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences.
• Familiarity with power electronics industry testing standards and best practices
• Work with engineering teams to ensure long-term performance and reliability of SiC devices.
• Self-motivated, energetic, and driven to lead teams to achieve goals.
• Prepare and present technical reports, documentation, and presentations to internal and external stakeholders.

Job responsibilities:

· Develop and innovate critical photonics/flat optics modules. Drive multi-functional teams to optimize existing process flows and develop new innovative integration solutions to meet potential product requirements and manufacturability.

· Develop or redefine critical criteria/aspects for optimal design performances and process capability. Initiate DOE (Design of Experiments) evaluations to characterize process window for new design/product requirements

• Pro-active in evaluating and implementing new integration schemes. Establish proof of concept for future tech roadmap.
• Take on an active attitude to summarize complex problems, explain actions taken to address them with clarity, and align with unit process, design and fabrication teams.
• Extract and analyse inline, GDS layout, parametric, reliability, and other critical metrics to construct predictive modelling on the photonics/flat optics device performance and specification.
• Coordinate activities with multi-functional teams to ensure timely wafers handling to meet deadline requirements.
• Require certain amount of working time in research fab environment for experiment and data collection.
• Act as subject matter expert for both internal and external stakeholders. Potential opportunities to work on customer product delivery.

Job requirements:

• MS or PhD in Electrical Engineering preferably specialized in semiconductor photonics/ electronics physics or engineering. Prior photonics/flat optics technology development are highly preferred.
• Minimum of 3 years of experience in the semiconductor industry/research within the areas of silicon, photonics/flat optics process integration and yield.
• MS/PhD candidates with strong hand-on knowledge of semiconductor unit process, photonics/flat optics device physics engineering will be considered too.
• Working knowledge of photonics simulation, layout design, and DOE design concept are highly desirable.
• Ability to develop a strong understanding on photonics/flat optics device and its related module on current Silicon technologies, related structural and electrical fail mechanisms.
• Passionate about photonics/flat optics technology and innovation. Self-motivated, high-curiosity, good communication and interpersonal skill with proven ability to work in a fast-paced and dynamic environment.

Job responsibilities:

· Develop and innovate critical photonics/flat optics modules. Drive multi-functional teams to optimize existing process flows and develop new innovative integration solutions to meet potential product requirements and manufacturability.

· Develop or redefine critical criteria/aspects for optimal design performances and process capability. Initiate DOE (Design of Experiments) evaluations to characterize process window for new design/product requirements

• Pro-active in evaluating and implementing new integration schemes. Establish proof of concept for future tech roadmap.
• Take on an active attitude to summarize complex problems, explain actions taken to address them with clarity, and align with unit process, design and fabrication teams.
• Extract and analyse inline, GDS layout, parametric, reliability, and other critical metrics to construct predictive modelling on the photonics/flat optics device performance and specification.
• Coordinate activities with multi-functional teams to ensure timely wafers handling to meet deadline requirements.
• Require certain amount of working time in research fab environment for experiment and data collection.
• Act as subject matter expert for both internal and external stakeholders. Potential opportunities to work on customer product delivery.

Job requirements:

• MS or PhD in Electrical Engineering preferably specialized in semiconductor photonics/ electronics physics or engineering. Prior photonics/flat optics technology development are highly preferred.
• Minimum of 3 years of experience in the semiconductor industry/research within the areas of silicon, photonics/flat optics process integration and yield.
• MS/PhD candidates with strong hand-on knowledge of semiconductor unit process, photonics/flat optics device physics engineering will be considered too.
• Working knowledge of photonics simulation, layout design, and DOE design concept are highly desirable.
• Ability to develop a strong understanding on photonics/flat optics device and its related module on current Silicon technologies, related structural and electrical fail mechanisms.
• Passionate about photonics/flat optics technology and innovation. Self-motivated, high-curiosity, good communication and interpersonal skill with proven ability to work in a fast-paced and dynamic environment.

As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmwave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a resourceful and motivated individual to join our dynamic team. As a member of the Operations Support (OS) team, you shall conduct risk management and ensuring compliance to A*STAR policies and procedures. This role includes, but is not limited to the following:

Job Description:

• Understand IME Quality Manual, A*STAR policies and relevant procedures.
• Ability to plan and conduct regular audits and execute any improvement plans to ensure compliance to all A*STAR policies and IME procedures.
• Ability to take actions in dealing with non-compliance situations, creating realistic plans to overcome them.
• Ability to produce audit report and summary on each audit taken, follow up and ensure closure of any findings identified.
• Ability to compile, review and analyse Key Risk Indicators (KRI), as part of regular reporting to A*STAR ERM Office. Based on the KRI compiled, assist in the preparation of Risk Reports.
• Ability to enforce IME governance on areas but not limited to like confidentiality, PDPA and data protection.
• Able to maintain a high level of staff awareness via staff training, sharing session and regular eDMs.
• Ad hoc duties as assigned.

Job Requirements

• Bachelor’s degree in any discipline or minimum 3 years of related work experience.
• Related certifications or good understanding on Policy Compliance, Risk Management or ISO trained will be advantageous.
• Proficient in data analytics/visualization tools like Power BI will be beneficial.
• A resourceful individual with active listening skills to gather information and anticipate next steps.
• A motivated individual with clear communication skills for stakeholder and management reporting.

Job Descriptions

• Manage the life cycle R&D projects and product delivery by planning, organizing, executing and evaluating from conception to completion.
• Lead project scoping with internal and external stakeholders to establish communication plans, build project schedules and establish clear project deliverables and milestones.
• Ensure successful delivery of project scope and targets while managing project risk, quality, delivery, scope, schedule, and budget
• Collaborate and motivate project team members in the design, development, and delivery of R&D solutions to customers.
• Drive design / process validation testing and ensure compliance to project lifecycle governance requirements
• Ability to demonstrate a good level of understanding of technical/engineering processes in managing the project development with the project teams
• Manage and implement project changes and interventions to achieve project deliverables and mitigate risk.
• Create and maintain project records in Project Management System

Job Requirements

• Bachelor in any engineering / project management related discipline
• Fresh Graduate or those with 1-3 years of project management experience in product development or research project may apply
• Proactive team player and technically motivated to solve problems, innovate and deliver to internal and external customers
• Good interpersonal and communication skills

A*STAR Strategic Research and Translational Thrusts (SRTTs) are mission-focused programmes in strategic and emerging areas that are cross-disciplinary and of wider strategic interest to A*STAR and Singapore. Set up to address ambitious technological challenges towards impactful outcomes, each SRTT is led by a Programme Director (PD) and is centrally facilitated and supported by A*STAR HQ.

The Singapore Integrative Biosystems & Engineering Research (SIBER) SRTT harnesses synthetic biology capabilities to aid the sustainable transformation of Singapore Energy & Chemicals sector with the aim to expand to other sectors. It will initially create a synthetic biology platform for sustainable chemicals and fuels, powered by a unique library utilising the biodiversity of Singapore. SIBER vision is to be a premier hub in industrial biotechnology innovation for the energy / chemicals as well as other sectors, empowering Singapore to seize opportunities in the future bioeconomy.

Job Descriptions:

• Responsible for managing R&D projects and product delivery within SIBER SRTT by planning, and organizing, communications with all SIBER SRTT team members and external stake holders under the guidance of SIBER SRTT Programme Director (PD) and Scientific Programme Manager (SPgM).
• Establish internal and external stakeholder communication & escalation plans, build project / programme schedules, identify and manage major risks, and define clear project / programme deliverables and milestones.
• Assist the SIBER SRTT PD and SPgM to ensure successful delivery of project / programme scope and targets while managing project / programme risk, quality, delivery, scope, schedule, and budget.
• Work closely with A*STAR Central Project Management Office and Scientific Program Manager to implement project management best practices for SIBER SRTT projects.
• Work with SIBER SRTT scientists and SPgM to bring together grant proposals to secure competitive funding and coordinate cross-project activities, under the guidance of Programme Director.
• Assist the SIBER SRTT PD and SPgM to lead, monitor and report the progress of the multiple projects to all internal and external stakeholders.
• Assist the SIBER SRTT PD and SPgM to manage and implement project / programme changes and interventions to achieve project deliverables and mitigate risk.
• Work closely with Tech-Biz officer to support industry engagements and projects, ensuring effective communication throughout the project life cycle.
• Lead and drive solutions for quality, procurement, finance and legal challenges, working closely with the various department and corporate support partners.
• Draft, update and maintain key documents relevant to project lifecycle (if relevant).
• Relevant ad-hoc duties as required by SPgM.

Job Requirements:

• Bachelor or Masters in any Sciences / project management related discipline.
• At least 5 years of project management experience in product development or research project would be preferable.
• PMP certifications or equivalent will be advantageous.
• Ability to demonstrate a good level of understanding of technical / engineering processes and lead teams throughout the project development cycle.
• Candidates with experience and knowledge in synthetic biology, engineering biology, molecular biology, chemical engineering, chemistry, bioinformatics or other related fields will have an advantage.
• Good business acumen, driven to deliver customer requirements and project deadlines.
• Proactive team player and technically motivated to solve problems, innovate and deliver to internal and external customers.
• Excellent oral and writing skills will be advantageous.
• Strong communicator with excellent interpersonal skills.
• A strong collaborative ethos for team-based working.

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

SIMTech is looking for a highly motivated, quick learner with excellent interpersonal skills to join Additive Technology Innovation (ATI) Group. The successful candidate will have opportunities to participate in research and industry projects in additive manufacturing (AM) and be involved in a highly challenging and dynamic research and development environment by working with scientists and engineers. The lab officer’s responsibilities include sample preparation, characterization, measurement, and mechanical testing. The lab officer also supports group’s research activities through procurement, equipment maintenance, risks assessments, including:

• Hand-on work such as preparing, operating and unpacking AM printers.
• Perform material testing, sample preparation, dimensional measurements, surface quality inspection, microstructure & defects analysis.
• Tracking and managing lab and group’s resource utilization, procurement, and delivery.
• Storage space management and optimization.
• Ensure high operational readiness by liaising with vendors to troubleshooting breakdowns preventive maintenance, and repairs.
• Facilitating mechanical and electrical installations for new equipment.
• Assist in lab equipment operation, collection of process data and analysis of results.
• Secondary roles related to health, safety, environment, and procurement to manage the Risk Assessment (RA), Standard Working Procedures (SWP), Permit to Work (PTW), and chemical purchasing and storage.
• Identify and recommend improvement measurements to ensuring high quality in lab safety and 5S standards.

Job Requirements

• Polytechnic / Technical Diploma degree in Engineering.
• Strong hands-on capabilities.
• Meticulous attention to detail.
• Diligent and possess a positive work attitude.
• Good communication skills.
• Proficient in Microsoft Office.
• Open attitude to lifelong learning and adapts well to new technologies.
• In-depth knowledge / hands-on experience in design for additive manufacturing (DfAM), CAD-based modelling, fusion or sinter-based additive manufacturing processing & metallurgy will be an added advantage.

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls and/or automation. Knowledge of PLC programming would be a strong advantage.

The key roles & responsibilities include, but are not limited to the following:

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Fresh Graduates with strong fundamentals in controls and IIOT are welcome. (For Senior Scientist) 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description

The research scientist will be working with a team to carry out basic research in trustworthy formal methods. The topics of interest under this project include trustworthy automated reasoning, verification of randomized algorithms, compiler verification, and control/hybrid systems verification.

Key Responsibilities

• Research and Development: To carry out research tasks relevant to the project scope in trustworthy formal methods as listed briefly above.
• Student Supervision: Co-supervise students (undergrad/masters/PhD level) in relevant research tasks.
• Publication and Dissemination: Disseminate completed research work through publications and presentations at various high-quality international venues.
• Strategic Planning: Participate in other department/institute-level research activities and grant/project proposals.

Job Requirements:

• PhD degree in Computer Science / Mathematics or related fields
• At least 5 years of ecperience
• PhD specialization in formal methods, computational logic, or related topics, with track record of high-quality publications in top-tier venues.
• Proficiency in proof assistants such as Isabelle/HOL, Coq, or Lean will be beneficial.
• Knowledge or experience in cybersecurity will be beneficial.

Desired Attributes

• Ability to deeply investigate the topics of interest, leading to high-quality and impactful research output.
• Applicants should be motivated, resourceful, and analytical individuals.
• Possess good interpersonal, presentation and communication skills.

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

• Develop and oversee execution of the MedTech Pillar"s strategy with a focus on value creation for members
• Work with Pillar Tech Lead and PM Lead to align on strategy and priorities
• Manage and development Pillar"s Anchor and Tier 1 accounts
• Develop business case and work with PI and PM to initiate and to secure joint labs with Anchor and Tier 1 members
• Ensure overall "health" of Pillar and performance targets are met
• Report to BD Director

Requirements

• Bachelors or Masters qualifications in a relevant field such as Business Management preferred
• Minimum 8 to 10 years of relevant experience
• Experience in leading and managing sales or business development teams
• Proven track record of business development, driving sales or revenue growth
• Knowledge in developing and executing marketing and sales strategy
• Good verbal and written communication

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.

Responsibilities

The lab of RNA in Disease and Translational Technologies at the Institute of Molecular and Cell Biology, A*STAR, Singapore is seeking to recruit a highly motivated Scientist or Senior Scientist to join a team developing a ribozyme-based RNA platform for potential translational and/or clinical applications.

The work will involve both in vitro and in vivo techniques, including molecular biology (RNA design, in vitro transcription, cell-free RNA assays, RT-qPCR, molecular cloning), cell biology (cell culture, cell transfection, flow cytometry, antisense oligonucleotides and RNAi, CRISPR), high-resolution imaging techniques, and experiments in mouse models (e.g. transgenesis, in situ hybridization and immunohistochemistry, imaging and functional analyses)

Requirements

• Minimum Ph.D. in Cell Biology, Molecular Biology, Biochemistry, Genetics, Neuroscience or a related discipline.
• The successful candidate should have strong expertise in RNA biology, cell biology, biochemistry and molecular biology techniques, a strong publication record that includes a first author research paper, and strong scientific writing skills.
• They should be creative, highly motivated, conscientious and be able to work independently, with good organisational, verbal and interpersonal skills. Our lab is collaborative and interdisciplinary, and the successful candidate should be able to work effectively and harmoniously in a diverse team.
• As a Scientist, candidate will also be expected to mentor and train students and Research Officers.

Job Description:

As a Scientist/Senior Scientist within Q.InC, you will join our team to develop cutting-edge quantum packaging technology platforms. These platforms will enable the low-noise, high density integration of qubits and control chips on superconducting interposers. You will work in a dynamic, interdisciplinary environment, collaborating with cross-functional teams to:

• Design and develop 3D superconducting interconnects.
• Explore wafer-to-wafer superconducting hybrid bonding techniques.
• Establish design rules and Process Design Kits (PDKs) for quantum packaging technologies.
• Prepare competitive research grant proposals to advance the state of the art.
• Partner with industry stakeholders to build foundational technologies for next-generation quantum packaging platforms.

Job Responsibilities:

• Develop and optimize process flows based on quantum component requirements, closely monitoring lot movements and ensuring alignment with project milestones.
• Collaborate with equipment and materials suppliers, as well as end-users, to advance quantum packaging technologies.
• Define and implement design rules and PDKs for superconducting qubit components.
• Work with technical and business development teams to initiate industry consortia projects with supply chain partners.
• Collaborate with other programs, A*STAR institutes, and academic institutions to prepare research grant proposals.

Job Requirements:

• PhD in Quantum Computing, Electrical and Computer Engineering, Materials Science, or a related field with understanding of semiconductor material and manufacturing, chip integration or quantum technologies.
• At least 5 years of experience in semiconductor or quantum process development and integration, with a basic understanding of 3D quantum packaging.
• Hands-on experience with process development, integration, and monitoring in semiconductor packaging.
• Familiarity with 3D interconnect technologies, wafer bonding, and other advanced packaging techniques.
• Experience with quantum device fabrication and testing is a plus.
• Knowledge of superconducting materials and processes, such as hybrid bonding and superconducting interposers.
• Proven ability to develop and execute innovative R&D projects, especially in emerging technologies.
• Experience working with cross-functional teams, industry partners, and consortia.
• Excellent written and verbal communication skills for engaging with academic, industrial, and governmental stakeholders.
• Self-motivated, proactive, and capable of effectively collaborating with diverse teams to achieve project goals.

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 seeking candidates for the position of Research Scientist for the Fermentation Biocatalysis and Downstream Processing team, Department of Biotransformation at the Singapore Institute of Food and Biotechnology Innovation (SIFBI). Our R&D focus is fermentation and enzymatic transformation for the production of future food ingredients such as microbial protein/fat and bioactives (e.g. antioxidants, anti-inflammatory, dietary fiber, etc) as well as personal care products. Development of bioprocess is, therefore, a core activity involving fermentation, enzymes production, biocatalysis and downstream processing via green extraction and purification.

JOB DESCRIPTION

Research Execution:

• Conduct advanced experiments related to fermentation and biocatalysis, focusing on process optimization, yield improvement, or enzyme development.
• Design and execute fermentation experiments, including scaling up processes, troubleshooting, and optimizing conditions.
• Perform biocatalysis reactions and develop novel process to enhance efficiency, product yield and productivity.

Data Analysis and Interpretation:

• Analyze experimental data, interpret results, and make decisions on next steps.
• Maintain detailed records of experimental procedures, observations, and outcomes.

Project Management and Milestone Delivery:

• Oversee and manage assigned research projects, ensuring timely achievement of key milestones.
• Work closely with team members to meet project objectives and deadlines.

Collaboration and Supervision:

• Mentor junior lab members, including students and technicians, in experimental techniques and data analysis.
• Collaborate with cross-functional teams, such as analytical chemistry, strain/enzyme engineering and pilot scale operation to enhance research outcomes.

Publication and IP Generation:

• Prepare high-quality research manuscripts, reviews, and reports for publication in scientific journals.
• Contribute to intellectual property generation by identifying patentable findings and assisting in patent drafting.

Grant and Proposal Writing:

• Assist in writing and submitting grant proposals, serving as a co-investigator or key contributor where needed.
• Support the preparation of progress reports and final reports for funding agencies.

Knowledge Advancement and Innovation:

• Keep updated on current literature, attend relevant conferences, and identify new research directions within fermentation and biocatalysis.
• Innovate by developing new methods or refining existing techniques to improve the lab?s research capabilities.

Safety and Lab Maintenance:

• Follow all safety protocols, ensure proper handling and disposal of chemicals and biological materials.
• Participate in maintaining lab equipment and stock, ensuring a well-organized and safe lab environment.

JOB REQUIREMENT

• PhD in Chemical engineering, Biochemistry, Biological science, Bioengineering or a related field.
• Preferably at least 2 years of hands-on experience in fermentation and/or biocatalysis research.
• Proficiency in experimental design, process optimization, and data analysis.
• Prior experience in a lab setting, with a proven record of project management and milestone achievement.
• Familiar with grant writing and funding application
• Knowledge of safety regulations and experience in lab safety management
• Expertise in microbial fermentation techniques, bioreactor operations, and/or enzymatic process development.
• Proficient in data analysis and laboratory documentation practices.
• Knowledge of intellectual property and patenting process is a plus.
• Publication record in peer-reviewed journals, preferably with demonstrated contributions to fermentation and biocatalysis research.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent written and verbal communication skills for scientific writing, grant writing, and collaboration.
• Ability to work independently as well as part of a team, with a proactive and adaptable approach.

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 a Systems Engineer to support the institute’s IT infrastructure and operations. The candidate will provide level 2 and level 3 support for IT services, assist with new setups, as well as review and implementation security and compliance measures.

Requirements:

• Minimum Diploma or Bachelor’s degree in computer-related studies
• At least 5 years of relevant work experience
• Strong knowledge in servers and hardware technology
• Experience with open-source software packages and IT infrastructure services
• Good understanding of best practices and cybersecurity concepts
• Experience or strong knowledge in Linux system administration, scripting, storage, and security
• Experience with Virtualization and Containerization
• Knowledge in networking, firewalls, and routing
• Good interpersonal and communication skills
• Ability to work independently and as part of a team

Good to Have

• Familiarity with local scientific research environment.
• Experience with computational clusters (e.g., SLURM).
• Familiarity with Linux-based scientific tools and software.
• Experience with automation tools like Ansible or similar.

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 selected candidate will conduct R&D in an IAF-PP project to develop new delivery platform for targeted delivery of bio-based anticancer reagents to tumors.

Job Responsibilities

• Synthesize and characterize polymers for biomedical applications
• Fabricate and characterize crosslinked hydrogels/microgels.
• Develop manufacturing processes including optimization of processing parameters.
• Communicate and work with collaborators at NUS and NUH in biological testing of microgels/hydrogels
• Perform material characterizations and testing.
• Prepare technical reports for technical disclosures, patents, and publications

Job Requirement

• Diploma in organic chemistry or material (polymer engineering) engineering
• Having strong analytical skills (applying scientific rules and analytical methods) to identify the strengths and weaknesses of alternative solutions/approaches to problems
• Basic understanding of chemical characterization techniques including NMR, UV-Vis, and FTIR
• Experiences in characterizations and testing of polymers, such as DSC, GPC, TGA and rheology
• Familiarity with design software
• Good written and communication skills

Scope:

• First line troubleshooting for equipment related issues
• Manage the scheduled and unscheduled equipment maintenance and Post PM process recovery
• Vendor management (scheduling, quotation, PM/CM report preparation on vendor activities and equipment training)
• Responsible for equipment uptime and liaison with process control team and equipment vendors for resolving escalations and SPC deviation.
• Works with process module development team, process control team and vendor to ensure flawless operations.
• Support internal audits as needed for ISO certification
• Documentation and sustaining of Equipment related SOP (PM/CM SOP, BKM, etc.)
• Conduct technical trainings and disseminate knowhows to teammate

Requirement:

• Bachelor’s Degree or Diploma in Electrical and Electronics, Mechanical, Mechatronics Engineering
• Preferably with minimum 2 years of semiconductor equipment engineering experience (in the domain of Etch, PVD, PECVD) with hands-on equipment troubleshooting experience
• Systematic and logical thinking. Embrace and committed to investigate and resolve issues with root clause analysis, provide and implement engineering solutions. (i.e. RCA, DOE, FMEA, 8D, some programming skills etc) is an advantage
• Candidate must be comfortable to communicate with inter-department at any technical level
• Must be a self-starter, independent and self motivated.