Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Functional Intelligent Materials (I-FIM) is seeking a researcher to investigate the application of scientific machine learning algorithms to develop an equation of state for dynamical systems out of equilibrium, with a focus on polymers under elongational flow. The role involves analysing large datasets from simulations and experiments to uncover patterns that traditional models may miss, aiming to enhance predictive capabilities for polymer behaviour. The work will be undertaken in collaboration with experts in algorithm development and experimental data collection and analysis. Additionally, the researcher will study the extension of developed framework to model multi-pendulum systems, exploring complex dynamics relevant to robotics and climate science. Findings will be disseminated through peer-reviewed journals, and the developed code will be made publicly available on GitHub.

Job Requirements

• Development of in the loop optimisation processes
• Ability to develop custom or apply state-of-the-art computer vision algorithms (CNN, AE, etc)
• Data cleaning, augmentation and dimension reduction
• Ability to work with common Python ML libraries (scikit-learn, tensorflow 1 & 2, pytorch), develop custom neural networks and implement classification and regression algorithms
• Interdisciplinary collaboration with researchers and scientists from different academic backgrounds
• Experience working in organic laboratories
• Knowledge of working with microfluidics platforms

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of machine learning.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We seek a full-stack engineer passionate about delivering the best user experience for cutting-edge technology. You will build the back end, which empowers the next-generation AI assistant, and the front end, which creates seamless new workflows.

Responsibilities

• Work with the core research team to idealize design concepts
• Participate in all aspects of agile software development, including design, implementation, and deployment
• Architect and design end-to-end systems optimized for speed and scale
• Build the front-end of applications through appealing visual design
• Test software to ensure responsiveness and efficiency
• Build features and applications with a mobile responsive design
• Write technical documentation

Qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Interest in learning new tools, languages, workflows, and philosophies
• At least one year of experience in building software applications
• Experience in building web applications, and designing and integrating RESTful APIs are added advantages.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent debugging and optimization skills
• Experience in unit/integration testing
• Excellent communication and teamwork skills
• Employment type: 12 months' contract

Only shortlisted candidates will be notified.

We are seeking a highly motivated and dedicated team player to join our dynamic research team. Our lab focuses on advancing the field of RNA therapeutics, with a strong emphasis on translational research aimed at clinical applications, while also fostering foundational discoveries in the delivery of RNA therapeutics. Our core technology platforms include rational design of antisense oligonucleotides and the development of innovative in vitro and in vivo methods for real-time and high-throughput functional delivery of RNA therapeutics.

Key Responsibilities:

• Experimental Execution: Execute experiments to investigate the efficacy, safety, and mechanisms of RNA therapeutics in cellular and animal models. Utilize state-of-the-art techniques to achieve research goals.
• Data Analysis: Analyze experimental data, interpret results, and draw meaningful conclusions. Present findings at lab meetings, conferences, and in scientific publications.
• Collaboration: Collaborate closely with other lab members, including graduate students and faculty, to drive interdisciplinary research projects and contribute to a vibrant scientific community.
• Translational Focus: Engage in research activities that have direct implications for the clinical application of RNA therapeutics, actively participating in discussions related to translational strategies.

Qualifications:

• Degree in Science disciplines or equivalent.
• Mouse and colony management experiences are required.
• Background in RNA biology, nucleic acid therapeutics, or related areas is ideal.
• Proficiency in molecular biology techniques, cell culture, and animal models.
• Excellent communication skills, both written and oral, and the ability to work collaboratively in a team-oriented environment.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistants to join our projects in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Our projects are primarily focused on exploring the role of neuroimaging in the clinic, facilitated by quantitative analysis including machine learning, with a focus on neurodegenerative diseases (e.g. Alzheimer's and Parkinson's disease), with a small focus on brain tumor imaging. The title of the current major project is <Development of a data-driven imaging biomarker for Alzheimer's disease>. The main objective of our ongoing research is to develop and validate data-driven imaging biomarkers to predict the prognosis of Alzheimer's disease dementia in elderly individuals by harmonizing established Alzheimer's disease research datasets and retrospective local institutional datasets.

The primary responsibilities of the Research Assistant will revolve around data management and administrative tasks, as described below:

Key Responsibilities

Database management and basic analysis:

- Download and integrate imaging and other non-imaging data into our research database.

- Perform basic neuroimaging processing and analysis using our existing R / Python pipeline. The role could extend to pipeline customization if the RA shows an interest and aptitude for image analysis work.

- The role could extend to basic statistical analysis and machine learning tasks using pre-built code, under the guidance of the PI and AI expert research staff, if the RA shows interest and aptitude for the above tasks.

Administrative tasks:

- Assist with ethical application processes for access to public datasets such as UK Biobank, ADNI, etc. and ensure compliance with institutional/university IRB procedures.

- Provide general administrative and secretarial support to the project, such as coordinating meetings, procurement, etc.

Assist in the preparation of scientific documents:

- Conduct literature searches, assist in the preparation of manuscripts, grant proposals/reports, and other scientific documents under the direct supervision of the PI.

Qualifications

Interested candidates should: (a) Have an undergraduate degree with good grades or a Master's degree in life sciences, engineering, or related fields; preferably, but not required, with some experience in dry lab or imaging research (b) Have basic programming skills in R and Python (ability to use code written by others under guidance) (c) Have fluent oral & written communication skill (d) Demonstrate the ability to work independently and as part of a team, and show investigative tendencies and attention to detail.

Compensation will be commensurate with the candidate's qualifications and experience. Only shortlisted candidates will be contacted.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

We are seeking a skilled and experienced scientist to join our dynamic team. The successful candidate will be working in a strong team developing diagnostic product. The role involves collaborating with cross-functional teams, understand the target product profile for the intended use, conducting feasibility studies, verification and validation as well ensuring designs meet technical and regulatory requirements.

Roles and Responsibilities:

• Executing Analytical Validation and Clinical Validation laboratory work
• Executing laboratory work for IVD/RUO product optimization
• Develop protein conjugation capabilities within the protein team.
• Develop protein conjugation workflows which applicable to IVD/RUO product development and scalable for large scale manufacturing
• Documentation of laboratory results as required by DxD Hub QMS and A*STAR
• Support the development of target product profile

Key Requirements:

• Bachelor’s degree in science, Biology or related experiences
• 3 - 5 years laboratory experience
• Knowledgeable in protein conjugation techniques and immunoassays
• Knowledgeable in diagnostics and basic life sciences technologies
• Experience with office management software such as MS office (Excel, Word, PowerPoint)
• Able to communicate effectively, multi-task and able work in a dynamic environment
• Works well as part of a team, yet able to work independently
• Self-driven team player who is able to work in a fast-paced environment
• Work on-site with a cross-functional team

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.

Lab Officer/ Research Engineer

Job Description:

Be part of an exciting FAB Operations Team working on cutting-edge advanced packaging process technologies.
This position is based in Singapore.

Responsibilities:

• Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested.
• Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Experience:

• Diploma in MicroElectronics/Electrical/Mechanical/Chemical Engineering.
• Basic understanding on semiconductor process is preferred.
• 1-3 years of experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will be added advantages.
• Must be a self-starter, dependable and highly motivated

Key Responsibilities:

1. Preparation and Setup:Prepare and organize laboratory materials, equipment, and samples.
   Set up laboratory apparatus for experiments and tests.
   Ensure all required chemicals, tools, and equipment are ready and functioning.
   
2. Assisting in Experiments:Assist in practical lessons in carrying out experiments and tests.
   Take measurements and record data accurately during research projects.
   Operate laboratory equipment under supervision, following safety protocols.
   
3. Sample Management:Collect, label, and store samples according to standard procedures.
   Ensure that samples are correctly handled and maintained for future analysis.
   
4. Equipment Maintenance:Clean, maintain, and troubleshoot laboratory equipment.
   Ensure that all instruments are calibrated and in good working condition.
   Assist in the setup and disassembly of experiments and equipment.
   
5. Data Management:Record, compile, and process data accurately.
   Prepare reports or assist in preparing research summaries for review.
   Enter experimental data into databases or spreadsheets.
   
6. Safety and Compliance:Follow laboratory safety protocols and adhere to safety standards to ensure a safe working environment.
   Handle hazardous materials and chemicals safely, with proper disposal practices.
   Assist in the maintenance of lab documentation and compliance with regulations.
   
7. Inventory and Supply Management:Monitor inventory levels of laboratory supplies, chemicals, and equipment.
   Order new supplies when needed and manage stock to avoid shortages.
   

Skills and Qualifications:

• Educational Requirements: Minimum high school graduate in science stream. or equivalent is typically required; however, a postsecondary degree or certification in a scientific field (e.g., biology, chemistry, or laboratory technology) may be preferred. Retired personnal are welcome too.
• Technical Skills: Familiarity with laboratory instruments and techniques is important. Basic computer skills for data entry and analysis are also necessary.
• Attention to Detail: Accurate data recording and adherence to protocols are essential.
• Communication: Ability to communicate in English.

Responsibilities :

The candidate will be involved in project activities such as evaluating and recommending suitable technology and solutions, conducting Proofs-of-Concept (POCs), and coordinating projects from ideation through to completion. In addition, the candidate is to provide end users IT service and support within A*STAR EUC environment. This includes installing, diagnosing, repairing, maintaining, and upgrading all IT hardware/software and equipment (including but not limited to PC, IP Phones, and Printers).

Requirements :

• Diploma in Computer Engineering, IT or equivalent certifications
• Min 2 years of IT work experience with demonstrated problem solving and customer service skills
• At least 3 years of experience in desktop computing, End User support, server administration and IT security.
• Competent in Windows OS, Apple MacOS, iOS devices and Linux Endpoints.
• Experience in Server Environment and AD Administration and tools including WSUS, Tanium, MS Intune.
• Understanding of IP Phone, LAN, Wifi, WAN, Firewalls, VPN technologies

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 candidate will be involved in project activities such as evaluating and recommending suitable technology and solutions, conducting Proofs-of-Concept (POCs), and coordinating projects from ideation through to completion. In addition, the candidate is to provide end users IT service and support within A*STAR EUC environment. This includes installing, diagnosing, repairing, maintaining, and upgrading all IT hardware/software and equipment (including but not limited to PC, IP Phones, and Printers).

Requirements :

• Diploma in Computer Engineering, IT or equivalent certifications
• Min 2 years of IT work experience with demonstrated problem solving and customer service skills
• At least 3 years of experience in desktop computing, End User support, server administration and IT security.
• Competent in Windows OS, Apple MacOS, iOS devices and Linux Endpoints.
• Experience in Server Environment and AD Administration and tools including WSUS, Tanium, MS Intune.
• Understanding of IP Phone, LAN, Wifi, WAN, Firewalls, VPN technologies

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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS), and the French-Singaporean international laboratory (Majulab), are seeking a talented postdoctoral fellow to conduct theoretical and numerical investigations on Kardar-Parisi-Zhang (KPZ) physics in quantum systems.

The KPZ equation, introduced in 1986 to describe the growth of rough surfaces, has since become a captivating area of research due to its remarkable universality. The project entails studying three quantum platforms where recent studies have shown signatures of KPZ physics: random quantum circuits, Anderson localization, and exciton-polariton condensate, as detailed in [Nahum et al., PRX 2017; Mu et al., PRL 2024; Fontaine et al., Nature 2023]. All three systems are subject to random fluctuations in their many-body degrees of freedom: (i) in the growth of entanglements in quantum circuits, (ii) in the wavefunction fluctuation of an Anderson localized system, and (iii) in the phase of a driven-dissipative condensate.

Despite being completely different, these systems are strikingly connected by KPZ physics. By following upon this unique cross-platform connection, one has the opportunity to discover new properties in each of these systems that could not have been envisaged otherwise. In this position, the fellow's primary focus will be on the latter two platforms and interact closely with another fellow dedicated to the first platform.

Job Requirements

The candidate should possess a solid academic track record and some prior experience in quantum disordered systems, quantum transport, many-body physics, quantum information, quantum fluids, or cold atoms. Proficiency in numerical simulations is essential.

The appointee will join CQT under the supervision of a group of researchers including Profs., Kwek Leong-Chuan, Hui Khoon Ng, Jiangbin Gong, Gabriel Lemarié, Maxime Richard, and Christian Miniatura. The candidate will actively contribute to all aspects of the group's operation, including co-supervising interns and PhD candidates. Salary will be competitive and commensurate with the candidate's work experience. Applicants are required to submit a detailed CV. Positions will initially be offered for 12 months with possible extension by another 12 months. The position is available from June 2024 and will remain open until filled. Shortlisted applicants should also arrange for three letters of reference.

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering with min 5 years of relevant experience
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering.
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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.

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

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:

We are looking for talented and highly motivated candidate to work on the research and development of flat optics. The recruited scientist will work in the National Semiconductor Translation and Innovation Centre (NSTIC), managed by A*STAR.

The candidate should have a solid background and hands-on experience in the research of optics. Candidate shall be able to perform independent research and solve challenging problems together with the team to deliver high impact results.

The main work scope of the position is as follow:

· Design and simulation of flat optics, including using machine learning method.

· Micro-nanofabrication of flat optics and their characterization.

· Technology development and translation to industry applications.

Job Requirements:

· PhD in Physics or Optics, Photonics, Electrical Engineering, Materials Science with at least 5 years of relevant experience

· Hands-on experiences on flat optics or metaoptics are added advantages.

· Good team player, resilient in tackling challenge, effective communication ability.

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 High-Speed IO Modeling designer to join our team. The ideal candidate will have a strong background in Electrical or Computer Engineering (Masters/PhD) , with a focus on high speed circuit modeling, statistical analysis, jitter analysis, digital signal processing, and signal integrity. The successful candidate will play a crucial role in developing IO performance models for chiplet-based high-speed communication protocols and generating complete high-speed link performance matrices based on advanced packaging.

Key Responsibilities:

• Develop IO performance models (Tx, Rx) for chiplet-based high-speed communication protocols such as UCIe, AIB, and others.
• Create complete high-speed link models by integrating IO performance models with advanced packaging interconnects.
• Generate comprehensive high-speed link performance matrices, considering various parameters such as technology node, area, latency, power, number of channels, micro bump pitch, and frequency of data rates.
• Collaborate with cross-functional teams to ensure the successful integration of IO performance models into the overall system design.
• Develop parameterised PDN model and fluent in analysing SI and PI simulations
• Stay up-to-date with the latest advancements in high-speed IO modelling techniques and technologies, and apply this knowledge to improve existing models and develop new ones.

Required Qualifications:

• Master's degree in Electrical or Computer Engineering with 2+ years of relevant experience, or a PhD in Electrical or Computer Engineering with 1+ years of relevant experience.
• Strong understanding of package/interconnect/I-O modelling, statistical analysis, jitter analysis, digital signal processing, and signal integrity.
• Experience in mixed-signal circuit design for High-Speed IOs (e.g AIB, AXI, UCIe).
• Proficiency in IBIS-AMI specification and model creation using Keysight ADS.
• Programming and scripting skills in one or more of the following: Python, Perl, C/C++, TCL, or AEL.

Preferred Qualifications:

• Ability to develop and implementing high-speed IO performance models using industry-standard tools/methodologies.
• Experience with advanced packaging technologies and their impact on high-speed link performance.
• Strong problem-solving skills and the ability to think creatively to overcome technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

Job Description:

Be part of an exciting Team working on cutting-edge advanced packaging process technologies. Partner and work with various FAB users, to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to make sure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, and professional individual.
• Oversee the Team spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings, raise purchase requests accordingly.
• Take charge and provide day to day supports in all logistics needs and initiate material/spare parts procurement when required to ensure smooth Fab operations.
• Accountable for the inventory movements required to enable smooth lot operations across IME Premises.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time.
• Work seamlessly with various stakeholders to provide logistics support and deliver inventory on time.
• Work towards and employ critical thinking, put-up good initiatives to move forward to digitalization.
• Ability to work in a multi-task environment.

Experience:

• Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.
• At least 2 years of warehouse operations.
• Preferably some experience in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description:

• Be a member of the leadership team to achieve the vision and mission of the National GaN Technology Centre (NGTC).
• Lead the Technology, Engineering and Industry team in technology road mapping and R&D pathfinding in device architecture, fabrication process technology, and MMIC design.
• Lead the Technology team, which comprises (a) characterization & modelling, (b) MMIC design, testing & model validation, (c) device failure and reliability analysis, (d) ultra high frequency GaN-on-SiC device design, layout, fabrication and characterization, and (e) low voltage GaN-on-Silicon device design, layout, fabrication and characterization.
• Coordinate with the Engineering team to develop ultra high frequency devices, ultra low voltage devices, and their MMICs.
• Coordinate with the Engineering and Operations teams to ensure timely delivery of the projects.
• Initiate and secure research grants and industry funding.
• Initiate, coordinate and manage research collaborations with IHLs and industry partners.
• Provide regular progress report of the Technology team’s activities to NGTC management.
• Represent NGTC in customer meetings.

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 12 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 12 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/written 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.